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Data Scientist Intern

United States
February 20, 2020

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Ankit Vashist

Chicago, IL ***** 312-***-**** EDUCATION

Illinois Institute of Technology, Chicago, IL May’ 2021 Master of Science in Data Analytics and Management (GPA: 3.7 /4.0)

• Relevant Coursework: Data Analytics, Data Mining, Data Warehousing, Rich Internet Applications Deenbandhu Chhotu Ram University of Science and Technology, Murthal, India June’ 2016 Bachelor of Technology in Electrical Engineering (GPA: 7.5 /10.0) TECHNICAL SKILLS

Data Science Regression, Bayesian statistics, Linear Regression, Multiple Regression, Logistic Regression, Sampling, Hypothesis testing, KNN, Naïve-Bayes, Decision Trees, SVM, Random Forests, Time Series Analysis, Ridge Regression, LASSO, Classification Tree, Random Forest Languages R, Python, Java, JavaScript, C++, C, HTML, CSS Database MySQL, MS-SQL Server, MS Access, PL/SQL, Oracle1 1g, Oracle 12c Tools, IDE, Servers Anaconda Navigator, Jupyter Notebook, ETL, Pentaho, Tableau, Power BI, R Studio, Pandas, NumPy, Matplotlib, SciPy, Microsoft Office (Word, Excel, Power-Point), Eclipse, GitHub, ServiceNow, TFS WORK EXPERIENCE

Tata Consultancy Services System Engineer Haryana, India Oct’ 2016 – Aug’ 2019 Performed Preprocessing, Scraping and Streamlining of raw data (“Big Data”) converting it into usable data for analysis Analyzed and reported Incident trends through summarized analysis, clear and compelling infographics, and data visualization in Tableau resulting in reducing the monthly Incident count by 80% Interpreted written business requirements to deliver high quality and scalable web applications making use of .NET/C# Solved database performance issues by coding efficient Stored Procedures and Functions in MS-SQL Server Performed Unit Testing for cross-browser compatibility and fixing bugs and errors resulting in 98% user acceptance Upgraded Checkbox Survey Tool single-handedly hence increasing the efficiency by 9-10% Followed Agile Scrum process and achieved a 100% Service Level Agreement for 2 consecutive years Managed Daily Standups with delivery managers and client along with a team of 2 testers and 4 developers Managed procurement and allocation of Laptops, Desktops, and Software to resources using Global Procurement System ACADEMIC PROJECTS

Illinois Institute of Technology, Chicago, IL Nov’ 2019 Prediction of Application Rating on Google Play Store: (R, KNN, Logistic Regression, Tableau) Designed classification models like KNN & Logistic Regression and selected the best Prediction Model with an accuracy of 81% using RMSE value. Used R to convert raw data into usable form and Tableau for Data Visualization. Performed ANOVA Hypothesis Testing and identified the “Games” category with the highest average mean rating Black Friday Sales Prediction: (Python for Data Science, Jupyter, Pandas, NumPy, Linear and Multiple regression, Tableau) Built multiple predictive models including Stepwise Forward, Backward & Both and evaluated the best Prediction model using MAE & AIC metrics

Courier Management System: (JAVA, MySQL, JavaFX)

Created a JAVA application to manage Courier System. Utilized GitHub as a version control system to handle our project LEADERSHIP & AWARDS

Appointed as Learning Enabler (January 2017) to mentor and assist 220 junior associates in SQL Essayed the role of Training and Placement Manager for the Training & Placement Cell of DCRUST, Murthal Garnered appreciation at the workplace in the form of 2 On the Spot Awards and 3 Best Team Awards in tenure of 2 years Received Tech Edge Scholarship of 10k USD from Department of Information Technology and Management, IIT Chicago

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