Data Analytics Intern Resume Samples

Description :

1. Worked on large datasets of over 50 thousand records consisting of customer shopping data.
   
2. Quantitatively compared Mall statistics of 2 different malls to give the mall owner a complete insight about various Key Indicators like total sales, the total number of transactions per hour, day, week, and year, the total number of customers visiting a particular merchant at a given time, total bookings, total orders, order details, etc.
3. Developed reports in Tableau, which can calculate complete mall stats for every hour, day, week, month, and year.
4. Developed generic Data Cleaning Script for handling data irregularities and inconsistency.
5. Used SED Stream Editor for removing special characters and Control M characters from files coming from Source.
6. Utilized AWK Text Processing capabilities to handle Source data's text processing tasks.
7. Monitored efficiency of various operation lines.
   

Experience

0-2 Years

Level

Entry Level

Education

MS in Computer Science

Description :

1. Created an information guide for Million Women Mentors and pitching potential company plan to gain support in program implementation.
2. Coordinated events, like a video contest and social media platform, to promote STEAM (Science, Technology, Engineering, Arts and Math) events with the goal of sparking young interest in the utility field.
3. Revised intern offer script to be concise and clear form using Microsoft InfoPath Designer Completing offer scripts based on requisition folder information, reviewing requisition folders to check completion and compliance status before a new hire is brought on board.
4. Created outreach activity sheets for Affirmative Action Plan compliance, using SharePoint to provide appropriate location managers with the information needed in a convenient and efficient manner.
5. Certified EEI Test Administrator and Scorer; responsible for administering pre-employment tests, handling tests with care, and scoring tests with extreme accuracy and confidentiality to ensure correct employment eligibility information.
6. Reported on veteran monthly new hire/termination data; determining relevant calculations for talent acquisition metrics.
7. Assisted with the documentation project of analytics reports and processes by checking for usability, readability, editing for grammar and content, and conducting final tests of reports before releasing them to the department.

Experience

10+ Years

Level

Senior

Education

BA in Human Resource Management

Description :

1. Compiled and prepare APMT data for analysis e.g. SQL or other database manipulations.
2. Developed automated analyses of data utilizing Python or Tableau.
3. Developed, testing, and writing software code for specific data analysis applications.
4. Assistance with database development.
5. Maintenance and use of the APMT knowledge database.
6. Solved customer prioritization problem by using principal component regression.
   
7. Predicted the staff attrition rate of the laboratory team 3 months in advance by using survival analysis.
   

Experience

0-2 Years

Level

Entry Level

Education

MS in Computer Science

Description :

1. Conducted mathematical, statistical and data quality analyses in support of specific projects, including multivariate regression and logistic regression.
2. Performed data cleaning and normalization to prepare data sets for analysis and modeling.
3. Supported metrics and analytics projects for business unit leaders such as marketing, workplace, and safety teams.
4. Developed graphs and visualizations in support of academic and business reports.
5. Performed Text Mining Analysis, including preprocessing/stemming, creating a document term matrix, and finding the relationship between terms.
6. Analyzed data using Tableau that fall outside the respective SPLC range of the geographic location and to correct it by determining the latitude and longitude of the place.
7. Generated reports to make the analysis easier and faster.

Experience

5-7 Years

Level

Executive

Education

MS in Predictive Analytics

Description :

1. Computed and projected return on investments.
2. Researched and optimized Sagewell's absent employee multiplier.
3. Managed and operated databases.
4. Developed new methods for Sagewell to easily show statistical significance.
5. Generated business reports to be presented to employees.
6. Developed first-time data analytic platforms for both internal and customer-facing reports Learned and leveraged Tableau.
7. Centralized, cleaned and analyzed data about usage of global fund assigned.

Experience

0-2 Years

Level

Entry Level

Education

MS in Information Technology

Description :

1. Developed a real-time data visualization tool using Data-Driven Documents (d3) for creating co-occurrence matrices of competing advertising campaigns.
2. Implemented Google Analytics API in PHP by which users will able to view data about their videos.
3. Analyzed, compiled, and presented data on over 1.1 million members; aided strategy planning.
4. Created interactive dashboards with data used to convey.
5. Worked with various teams to determine needs for business data reports and dashboards used by a wide range of clients. 
6. Utilized Alteryx Data Blending Software to cleanse and parse 300,000+ records from the Medicare database in order to isolate critical variables.
7. Advised executives to expand Cardinal's medical technology portfolio into home healthcare technology in order to best target the 20% of patients.

Experience

2-5 Years

Level

Junior

Education

MS in Statistics

Description :

1. Solved customer prioritization problem by using principal component regression in R.
2. Improved the accuracy of predicting.
3. Predicted the staff attrition rate of the laboratory team 3 months in advance by using survival analysis in MATLAB.
4. Proposed a threshold on query rate for identifying abnormal sites.
5. Estimated the type I error and type II error of this threshold by simulating 8.
6. Assisted sales, the performance of in-house vs. national brands, cannibalization of products).
7. Developed and presented information decks on how to leverage analytics to target trends within the healthcare industry such as population management.

Experience

2-5 Years

Level

Junior

Education

MS in Information Technology

Description :

1. Monitored efficiency of various operation lines.
2. Collected data regarding product count and machine deficiency.
3. Provided insights to improve business operation.
4. Team up with internal partners on continuous improvement projects (provided statistical models such as the Cox model, survival analysis, etc. cost/benefit analysis, planning & projection, and scenario analysis).
5. Participated in building the predictive model to identify good consumers.
6. Assisted professionals with data analysis and research.
7. Gathered and reported on data for the MAI (Minority Aids Initiative).

Experience

2-5 Years

Level

Junior

Education

MS in Statistics

Description :

1. Assisted design and modification of dashboards in Tableau.
2. Reported forecasting and cost analysis models through the use of data mining Retrieved data.
3. Cleansed and validated 10,000+ employee data using advanced Excel functions and VBA.
4. Extracted key statistics and calculated HR metrics (Cost per Hire, ROI, etc.) to evaluate workforce productivity.
5. Built data visualization in Excel and Tableau for project deliverables.
6. Played key role with a team of 3 in Data extraction, Data cleansing, Data blending, Data transformation, and modeling.
7. Documented the project, suggested best methodologies in the industry on new processes and procedures.

Experience

2-5 Years

Level

Junior

Education

MS in Predictive Analytics

Description :

1. Reviewed highly sensitive and confidential employee data for discrepancies, performing audits on internal data to verify accuracy.
2. Updated cash flow sheet with raw data and captured revenue & expenditure to report financial statement on a monthly basis.
3. Performed background research on Medicare claims data in the County.
4. Optimized consumer segmentation dashboard code and improved dynamic report time from minutes to seconds Automated consumer segmentation dashboard.
5. Performed multiple SQL queries using SQL Server for Data Analysis.
6. Created database-driven reports with output to MS Excel and custom reports such as SQL file count and monthly migration reports.
7. Built KPI views and dashboards using SQL, R flex-dashboard, and on the BI platforms.
   

Experience

2-5 Years

Level

Junior

Education

MS in Predictive Analytics