Vice President Of Analytics

Vice President Of Analytics Resume Keywords and Skills (Hard Skills)

Here are the keywords and skills that appear most frequently on recent Vice President Of Analytics job postings. In other words, these are the most sought after skills by recruiters and hiring managers. Go to Sample Templates ↓ below to see how to include them on your resume.

Remember that every job is different. Instead of including all keywords on your resume, identify those that are most relevant to the job you're applying to. Use the free Targeted Resume tool to help with this.

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  • Analytics
  • Predictive Analytics
  • Data Science
  • Tableau
  • Predictive Modeling
  • Business Analysis
  • Strategy
  •  Find out what your resume's missing
  • Business Intelligence (BI)
  • SAS
  • Machine Learning
  • Data Analytics
  • Risk Management
  • Big Data
  • SQL
  • Big Data Analytics
  • Data Visualization
  • Data Mining
  • Business Analytics
  • Financial Modeling
  • Segmentation

  •   Show full list

Resume Skills: Programming & DBMS

Resume Skills: Machine Learning

Resume Skills: Big Data

Resume Skills: Data Visualization

Resume Skills: Data Analytics

Resume Skills: Platforms & Tools

Resume Skills: Languages

Resume Skills: Machine Learning Techniques

Resume Skills: Statistical Methods

  Does your resume contain all the right skills? Paste in your resume in the AI Resume Scan ↓ section below and get an instant score.

Compare Your Resume To These Vice President Of Analytics Skills (ATS Scan)

Paste your resume below and our AI will identify which keywords are missing from your resume from the list above (and what you need to include). Including the right keywords will help you get past Applicant Tracking Systems (i.e. resume screeners) which may scan your resume for keywords to see if you're a match for the job.

Sample Vice President Of Analytics Resume Examples: How To Include These Skills

Add keywords directly into your resume's work experiences, education or Skills section, like we've shown in the examples below. Use the examples below as inspiration.

Select a free resume example
Your Name
Vice President Of Analytics
City, Country  •  (123) 456-789  •  [email protected]  •
Resume Worded August 2019 - Present
Director of Data Science
Conceptualized and executed a comprehensive data integration plan, streamlining reporting across multiple platforms and boosting efficiency by 35%
Interfaced with key business stakeholders to deliver risk management programs through predictive analytics and machine learning methods
Managed a team of 15, mentoring junior analysts and data scientists and fostering a culture of continual learning and development March 2017 - July 2019
Senior Business Analyst
Revolutionized decision-making processes by designing and implementing predictive models, resulting in a 40% increase in business forecasting accuracy
Developed customer segmentation strategy through advanced analytics techniques, leading to a 20% increase in customer satisfaction
Incorporated SQL and SAS for in-depth data analysis, managing complex billion-row databases and facilitating faster access to business insights
Oracle January 2015 - February 2017
Data Scientist
Employed machine learning algorithms to analyze big data, discovering key patterns that led to a 10% reduction in operational costs
Pioneered the use of Tableau for data visualization, improving data accessibility and comprehension across departments
Augmented data mining processes, saving up to 30 hours per week through the automation of repetitive tasks
Resume Worded Academic Center December 2016
Master of Science - Data Science
Thesis: 'Predictive Analytics for Business Outcomes'
Resume Worded University June 2014
Bachelor of Business Administration - Information Systems and Management
Minor: Statistics
Awards: Summa Cum Laude (Top 5%)
Data Analysis & Visualization: SQL, Python, R, Tableau, Excel, Power BI
Big Data Tools: Hadoop, Spark, Apache Kafka, Apache Flink, NoSQL
Machine Learning Techniques: Regression, Classification, Clustering, Natural Language Processing, Deep Learning
Statistical Methods: A/B Testing, Hypothesis Testing, Time Series Analysis, Probability Models
Certifications: Certified Data Science Professional, IBM (2020), Certified Analytics Professional, INFORMS (2018)
Leadership & Volunteering: Data Science For All / Empowerment - Mentorship Program (2020 - Present)
Awards: Eminent Business Analyst, (2018)
Publications: Authored 'Leveraging Big Data for Business Success' in the Thought Leadership Journal (2021)
Your Name
Director of Data Analytics and Insights
City, Country  •  (123) 456-789  •  [email protected]  •
Resume Worded February 2018 - Present
Senior Manager, Data Analytics
Spearheaded the integration of predictive modeling into business strategy, driving a 25% increase in revenue
Introduced a data analytics framework for risk management, reducing potential financial risks by 35%
Managed and mentored a team of 10 data analysts, fostering a collaborative environment focused on continuous learning July 2015 - January 2018
Business Intelligence Specialist
Established enterprise-wide business intelligence infrastructure, providing actionable insights into customer behaviors and enhancing marketing efficiency by 40%
Orchestrated data extraction from complex SQL databases, accelerating response times for business queries
Implemented Tableau for data visualization, simplifying data interpretation and decision-making processes
IBM May 2013 - June 2015
Data Analyst
Applied advanced analytics for business segmentation, leading to targeted marketing campaigns and a 15% growth in customer base
Introduced automated data mining techniques, resulting in a 20% reduction in manual data processing
Utilized predictive analytics to assist in financial modeling, enhancing budget forecasting accuracy by 30%
Resume Worded Institute February 2016
Advanced Certification in Data Analytics and Business Intelligence
Part-time intensive course focused on advanced analytical methodologies and tools
Resume Worded University April 2013
Master of Science - Data Science
Specialized in Business Analytics and Predictive Modelling
Led the development of a predictive model for the University's resource management as a part of Capstone project
Data Analytics: SQL, Excel (Advanced), R, Python, Tableau, Google Analytics
Platforms & Tools: AWS, Microsoft Azure, Hadoop, Spark, Google Cloud Platform, Github
Programming & DBMS: Python, Java, NoSQL, PostgreSQL, RDBMS, MySQL
Machine Learning: SPSS Modeler, TensorFlow, Keras, Scikit-learn, XGBoost, NLP
Certifications: IBM Data Analytics Professional Certification (2021), Tableau Certified Associate (2019)
Leadership & Volunteering: Data Science for All Mentor, Resume Worded Corporate Social Responsibility Team Lead
Projects: Developed a real-time data processing platform as a personal project (Github link)
Publications: Co-authored research paper on 'Data driven insights for optimizing resource management' published in the Journal of Business Informatics
Your Name
Head of Data Science
City, Country  •  (123) 456-789  •  [email protected]  •
Resume Worded January 2020 - Present
Senior Data Scientist
Implemented predictive modeling techniques to optimize customer targeting, increasing conversion rates by 45%
Invented unique strategies for risk management using data analytics, mitigating potential financial hazards by 40%
Supervised and guided a team of 10 data scientists, nurturing an efficient and skill-focused work culture April 2017 - December 2019
Data Analytics Consultant
Implemented a robust business intelligence system, improving business visibility, and boosting efficiencies by 30%
Employed SAS and SQL for large-scale data analysis, increasing the ability to manage volume data and enhancing overall business insight
Deployed Tableau to enrich data visualization skills, enhancing data understanding and facilitating informed decision making
Microsoft August 2014 - March 2017
Business Analyst
Leveraged advanced analytics for precise business segmentation, leading to optimized marketing efforts and a 15% increase in customer retention
Automated regular data mining processes, increasing productivity by cutting down manual data handling by 25%
Performed predictive analytics for accurate financial modeling, boosting prediction precision by 20%
Resume Worded University December 2019
Master of Science in Data Science
Specialization: Data Analytics and Data Mining
Resume Worded Institute May 2014
Bachelor of Engineering - Computer Science
Focus Modules in Big Data Processing and AI
Awards: Graduated with Honors
Languages: Python (Expert), R (Proficient), SQL (Proficient), Java (Intermediate)
Big Data: Hadoop, Spark, Flink, Kafka, Cassandra
Machine Learning Tools: TensorFlow, scikit-learn, PyTorch, Keras, AWS Sagemaker, Azure ML Studio
Data Visualization: Matplotlib, Seaborn, Tableau, PowerBI, D3.js
Certifications: Certified Data Scientist - IBM, Project Management Professional - PMI
Leadership & Volunteering: Mentor, Coached Data Science for All Program (April 2020 - Present)
Projects: Developed a predictive model for customer churn which improved accuracy by 20%
Publications: Co-author, 'AI in Industry: A Practical Approach', Published in Data Science Journal, 2021
Your Name
Vice President Business Intelligence
City, Country  •  (123) 456-789  •  [email protected]  •
Resume Worded May 2019 - Present
Director of Business Intelligence
Deployed Business Intelligence Tools to help team establish KPIs, leading to a 15% increase in operational efficiency.
Facilitated end-to-end execution of SDLC for an enterprise-wide ETL solution, resulting in a 25% decrease in data loading times.
Implemented advanced analytics with Microsoft Power BI for data-driven business decisions, boosting company-wide efficiency by 20%.
Developed a robust Business Process Improvement strategy which successfully cut costs by $2million annually.
Deployed SQL for complex data inquiries at the enterprise level, revolutionizing the data retrieval process and improving team efficiency by 15%.
Amazon February 2016 - April 2019
Senior BI Specialist
Instituted a Tableau-based data visualization strategy, giving a clearer view of sales data and increasing productivity by 12%.
Designed and optimized data warehouse using advanced BI strategies, resulting in a 30% reduction in data storage footprint.
Led a team of data analysts, meeting project benchmarks 20% ahead of the schedule. January 2014 - December 2016
BI Analyst
Revamped the data analytics process through effective requirements analysis, improving forecast accuracy by 16%.
Implemented data modeling techniques on a major BI project, optimizing data retrieval by 25%.
Utilized Data Science methodologies to predict future sales trends, leading to a 15% increase in quarterly revenue.
Resume Worded Institute December 2020
Certified Business Intelligence Professional (CBIP)
Certification focused on data management, data governance and business analytics
Resume Worded University May 2015
Master of Business Administration - Business Intelligence
Specialized in Strategic Decision-Making, Data Mining and Business Analytics
Business Intelligence Tools: Tableau, Power BI, Looker, Microstrategy, QlikView, IBM Cognos
Data Management: SQL, Data Warehousing, ETL (Extract, Transform, Load) Processes, SSIS, SAS
Big Data & Analytics: R programming, Python (Pandas, NumPy), Apache Hadoop, Spark, Hive
Other Tools: Microsoft Office Suite, Google Analytics, Salesforce, Trello, Slack
Certifications: Six Sigma Black Belt Certification (May 2018), Project Management Professional (PMP) Certification (June 2017)
Publications & Presentations: Published Article - 'Driving Business Success with data-driven Decisions' in The Data Warehouse Pro Magazine (Jan 2020), Keynote Speaker at Analytics In Action Conference (June 2019)
Volunteer Experience: Data Science Mentor at Code For Cause non-profit organization, Worked as Volunteer BI Consultant for local NGOs
Awards & Accolades: Winner - Data Visualization Challenge at Data Crunch 2020, 'Employee of the Year' at Amazon (2018)
Your Name
Director of Business Analytics
City, Country  •  (123) 456-789  •  [email protected]  •
EXPERIENCE March 2017 - Present
Senior Business Analyst
Revamped BI strategies through the use of advanced business analytics, leading to a revenue increase of $3 million.
Developed Enterprise Architecture framework to streamline business processes, increasing productivity by 20%.
Managed vendor relationships to enhance overall BI strategy, reducing expenses by 14% and improving vendor quality.
Utilized Microsoft Power BI to create a dashboard for senior management, increasing data transparency and improving decision making by 25%
Managed and developed BI solutions to improve data analysis efficiency, increasing productivity by 23%.
Oracle Corporation November 2014 - February 2017
Business Analyst
Implemented ETL processes, improving data ingestion speed by 15%.
Assisted with SDLC within major BI projects, increasing project completion rate by 22%.
Utilized SQL on a regular basis to perform complex business analytics tasks, leading to a 30% reduction in turnaround time for data requests.
Resume Worded March 2012 - October 2014
Junior Business Analyst
Involved in data modelling projects using BI Tools, resulting in 20% faster data retrieval.
Assisted in tuning SQL scripts, leading to a 15% decrease in system latency.
Used analytics to enhance business process improvement strategies, reducing unnecessary costs by $1 million annually.
Resume Worded University September 2011 - May 2013
Master of Business Administration (MBA) - Business Analytics
Recipient of the Academic Excellence Award in Business Analytics
Resume Worded University September 2008 - May 2012
Bachelor of Science in Business Administration
Specialized in Strategic Management and International Business
Honors: Cum Laude (Top 10% of class)
Data Analysis: Excel, SPSS, R, SAS, Tableau
Business Intelligence (BI) Tools: Power BI, QlikView, Oracle BI
Databases: SQL, MongoDB, Hadoop, Oracle
Statistical Methods: Regression Analysis, Forecasting, Risk Analysis, Descriptive Statistics
Certifications: Certified Business Intelligence Professional (CBIP), Certified Data Management Professional (CDMP)
Professional Development: Attendee, Tableau Conference Europe 2019
Leadership & Volunteering: Mentor, Women in Business Initiative
Projects: Developed a machine learning predictive model to forecast quarterly sales, resulting in a 15% increase in forecast accuracy
Your Name
Chief Data Officer
City, Country  •  (123) 456-789  •  [email protected]  •
EXPERIENCE April 2018 - Present
Vice President of Data Management
Spearheaded data governance policies, resulting in increased data purity and improved business decisions.
Implemented advanced Data Science methodologies to forecast business trends, boosting market share by 6%.
Established Business Intelligence protocols across the firm, enhancing Data Analytics quality by 15%.
Led the design of a new Data Warehousing strategy, reducing storage cost by 25% and improving data retrieval speed by 30%.
Deployed enterprise-wide Microsoft Power BI, boosting productivity across multiple departments by 20%.
IBM February 2015 - March 2018
Director of Data Management
Led the execution of Data Modelling initiatives, improving database schema efficiency by 15%.
Implemented ETL processes, reducing data load times by 20%.
Utilized vendor management skills to procure high quality data management tools, reducing annual costs by 10%.
Resume Worded December 2011 - January 2015
Senior Data Analyst
Assisted in the implementation of a new Enterprise Architecture, reducing data redundancy by 20%.
Used SQL to perform complex data analysis tasks, boosting reporting speed by 15%.
Implemented data visualization strategies using Tableau, making data more accessible across the organization.
Resume Worded University June 2011
Master of Business Administration - Tech Management
Emphasis in Data Management
Resume Worded Academic Center May 2009
Bachelor of Science - Computer Science
Minor in Statistics
Awards: Resume Worded Academic Excellence Award (Top 1% of class)
Data Management Tools: Tableau, SQL, SAP HANA, Apache Hadoop
Programming Languages: Python (Advanced), Java (Advanced), R (Proficient), MATLAB (Proficient)
ML & AI Tools: TensorFlow, PyTorch, Keras, Scikit-learn
Big Data: Hadoop, Spark, SQL Data Warehousing
Certifications: Certified Data Management Professional, Google Cloud Certified Data Engineer
Awards: DAMA International Outstanding Individual Achievement Award (2020)
Publications: Authored 'Navigating Data Management: A Comprehensive Guide' (Published 2020)
Leadership & Volunteering: IBM Data Science Community (Board Member and Forum Moderator), Data Management International (Regional Chapter Vice President)
Your Name
Data Science Vice President
City, Country  •  (123) 456-789  •  [email protected]  •
Resume Worded May 2018 - Present
Director of Data Science
Pioneered a novel AI system, improving operational efficiency by 50% and saving an estimated $2M annually.
Implemented Apache Spark to streamline real-time Big Data processing, improving data accessibility by 65%.
Managed a team of 12 data scientists, achieving a boost in productivity by 45% through strategic reallocation of resources.
Strategized and executed a Business Intelligence framework, leading to a 30% increase in ROIs.
Developed predictive models using Python and R, which led to significant improvements in forecasting accuracy by 40%. January 2016 - April 2018
Senior Data Scientist
Steered a machine learning project which enhanced the company’s recommendation engine performance by 35%.
Leveraged NLP to automate customer service responses, yielding an 80% reduction in response time.
Implemented a new data visualization strategy using Tableau and D3.js, resulting in more informed strategic decisions.
Cisco January 2013 - December 2015
Data Science Team Lead
Co-led the development of a statistical model that increased the efficiency of network operations by 25%.
Leveraged Hadoop frameworks for processing and analyzing big data which increased system reliability by 30%.
Resume Worded University June 2015
Ph.D. in Data Science
Dissertation: 'Predictive Models for Business Success: A Quantitative Analysis'
Resume Worded Academic Center January 2004
Master of Science in Mathematics
Thesis: 'Application of Probabilistic Models in Predictive Analytics'
Data Analysis Software: R, MATLAB, SPSS, Python (numpy, pandas), SAS, Stata
Big Data Platforms: Hadoop, Spark, Hive, Pig, Azure Databricks, AWS EMR
Machine Learning Frameworks: Keras, TensorFlow, PyTorch, SciKit-Learn
Database Technologies: SQL, Oracle, PostgreSQL, MongoDB, Neo4j
Certifications: Certified Data Science Professional (CDSP), Coursera Machine Learning Certification
Projects: Developed predictive machine learning model for a large retail chain that increased sales forecasting accuracy by 30%
Publications: Co-authored 'Harnessing Big data: Enhancing Business Efficiency' in the Journal of Data Science
Leadership & Volunteering: Mentor at GirlsWhoCode, promoting STEM education for young women
Your Name
Senior Director of Data Science
City, Country  •  (123) 456-789  •  [email protected]  •
Microsoft September 2016 - Present
Principal Data Scientist
Led the development of AI-powered predictive analytics solutions, which improved lead conversion rates by 45%.
Orchestrated and implemented a machine learning pipeline using TensorFlow, resulting in faster production times by 40%.
Managed a team of 14 data scientists, drove skills development through effective mentoring and raised project completion rate by 80%.
Leveraged Deep Learning methodologies, improving overall model performance by 35%.
Devised strategies for data segmentation that boosted marketing campaign effectiveness by 30%. May 2015 - August 2016
Head of Data Science Unit
Spearheaded the development of NLP algorithms that streamlined customer engagement by 60%.
Managed cross-functional teams on big data and analytics projects, improving the delivery effectiveness by 50%.
Used Python and R for developing predictive models, leading to a 25% reduction in manual work.
Netflix July 2011 - April 2015
Senior Data Scientist
Rolled out a new algorithm for movie recommendations that improved viewer retention by 20%.
Used Tableau to visualize customer data, aiding strategic decision making.
Resume Worded Institute June 2017
Postgraduate Certificate in Business Analytics
Part-time certification concurrent with tenure at Microsoft
Resume Worded University July 2010
Master of Science in Data Science
Thesis: 'Optimizing Algorithms for Recommendation Systems'
Graduated with Distinction
Programming: Python (numpy & pandas), R, Java, SQL, MATLAB, SAS
Machine Learning & AI: TensorFlow, PyTorch, Keras, Scikit-learn, OpenCV, NLTK, Gensim
Big Data: Hadoop, Spark, Hive, Pig, BigTable, Cassandra
Data Visualization: Tableau, PowerBI, Matplotlib, Seaborn, D3.js
Certifications: Microsoft Certified: Azure Data Scientist Associate (2019), Certified Analytics Professional (CAP - 2015)
Leadership & Volunteering: Data Science Mentor at Resume Worded's Mentorship Program, Speaker at AI & Big Data Expo Global 2019
Projects: Contributor to 'Apache Flink' open-source big data processing engine, Developed 'DataExplorer' - an R package for exploratory data analysis
Publications: Published research paper 'Streaming Large-scale Graph Computations: A Signal Processing Viewpoint' in Journal of Data Mining and Knowledge Discovery (2017)
Your Name
Chief Data Scientist
City, Country  •  (123) 456-789  •  [email protected]  •
Resume Worded August 2016 - Present
Data Science Vice President
Guided a team of 20 data scientists to improve AI systems, resulting in a 50% boost in productivity.
Spearheaded a big data initiative using Hadoop and Apache Spark, improving data processing time by 55%.
Established a Business Intelligence department which contributed to a 30% annual growth rate.
Championed the usage of Python for advanced statistical modeling, improving data analysis accuracy by 25%.
Standardized a new method in predictive modeling, improving prediction accuracy by 70%. November 2012 - July 2016
Director of Data Science
Improved machine learning algorithms, culminating in a 30% increase in accuracy.
Implemented data mining techniques to refine customer profiles, increasing campaign conversion rate by 60%.
Revamped company’s data visualization strategy to yield better insight into performance metrics.
IBM January 2008 - October 2012
Senior Data Scientist
Engineered new methods for Big Data analytics, reducing data processing time by 20%.
Resume Worded University December 2012
Master of Science in Data Science
Specialize in Machine Learning and Artificial Intelligence
Resume Worded Institute May 2007
Bachelor of Engineering - Computer Science
Minor in Statistics
Awards: Dean's List 2006 (Top 10%)
Programming: Python (TensorFlow, numpy), R, SQL, Java, MATLAB, Scala
Big Data: Hadoop, Spark, Hive, Pig, MongoDB, Cassandra
Machine Learning: Linear Regression, Logistic Regression, Decision Trees, SVM, Naive Bayes, KNN, K-Means, Random Forest, Dimensionality Reduction Algorithms, Gradient Boosting algorithms
Cloud Technologies: AWS, Google Cloud, Microsoft Azure
Certifications: Certified Data Scientist - IBM (2015), Google IT Support Specialist Certification (2021)
Projects: Developed Machine Learning models for fraud detection leading to a 15% decrease in fraud cases
Publications: Co-authored research paper titled 'A Study on Data Imbalances in Biostatistical Analysis' published in International Journal of Data Science
Conferences: Presented at the International Data Science Summit 2018 about 'Innovations in Predictive Analytics'

How do I add skills to a Vice President Of Analytics resume?

Review the job posting closely.

Go through the Vice President Of Analytics posting you're applying to, and identify hard skills the company is looking for. For example, skills like Tableau, Predictive Modeling and Business Intelligence (BI) are possible skills. These are skills you should try to include on your resume.

Add industry skills like Predictive Analytics and Strategy.

Add other common skills from your industry - such as Data Science, Analytics and Business Analysis - into your resume if they're relevant.

Add skills into your work experience.

Incorporate skills - like Data Visualization, Financial Modeling and SAS - into your work experience too. This shows hiring managers that you have practical experience with these tools, techniques and skills.

Show evidence of your analytical skills.

Analytical skills involve your ability to break down a problem and come up with effective solutions. On Vice President Of Analytics resumes, hiring managers want to see evidence of how you analyzed quantitative or qualitative data.

Highlight data science skill sets.

Dealing with large data sets, cleaning them and uncovering business insights are important skill sets for a Vice President Of Analytics.

Use the exact job title.

Try to add the exact job title, Vice President Of Analytics, somewhere into your resume to get past resume screeners. See the infographic for how to do this.

Word Cloud for Vice President Of Analytics Skills & Keywords

The following word cloud highlights the most popular keywords that appear on Vice President Of Analytics job descriptions. The bigger the word, the more frequently it shows up on employer's job postings. If you have experience with these keywords, include them on your resume.

Top Vice President Of Analytics Skills and Keywords to Include On Your Resume

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Vice President Of Analytics Resume Templates

Here are examples of proven resumes in related jobs and industries, approved by experienced hiring managers. Use them as inspiration when you're writing your own resume. You can even download and edit the resume template in Google Docs.

Resume Example
Data Analytics Manager

Resume Example

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Highlights (Free)

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Modern Two-Column

Resume Example
Clean Modern

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Entry-Level (Free)

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Frequently Asked Questions

What skills should you put on a Vice President Of Analytics resume?

On top Vice President Of Analytics resumes, skills like Analytics, Predictive Analytics, Data Science, Tableau, Predictive Modeling, Business Analysis, Strategy and Business Intelligence (BI) appear most often.

Depending on the exact role you're applying to, skills like Data Analytics, Data Mining, Financial Modeling, Data Visualization and SAS can also be effective keywords to include on your resume.

Target your Resume to a Job Description

While the keywords above are a good indication of what skills you need on your resume, you should try to find additional keywords that are specific to the job. To do this, use the free Targeted Resume tool. It analyzes the job you are applying to and finds the most important keywords you need on your resume.

It is personalized to your resume, and is the best way to ensure your resume will pass the automated resume filters.

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