Data Engineer

Naveen Kumar Nirankari

469-***-****; ********************@*****.***

http://www.linkedin.com/in/naveennirankari

EDUCATION

The University of Texas at Dallas, Dallas, Texas May 2021 Master of Science - Business Analytics

D. Y. Patil’s Ramrao Adik Institute of Technology, Navi Mumbai, India May 2017 Bachelor of Engineering - Electronics and Telecommunication

BUSINESS EXPERIENCE

Majesco Ltd, Mumbai, India December 2017 – July 2019

Data Engineer

●Delivered in a week one of the major change requests with zero defects and customer satisfaction that brought 90-100 proposals on the first day itself of product release

●Gained technical understanding of creating SQL, PL/SQL Procedures, Packages, Triggers, Functions, Views for analyzing, extracting, manipulating, filtering, modeling and reporting complex data sets resulting in an efficiency of 92%

●Gained a thorough understanding of the Insurance Domain in New Business, Policy Service and implemented it in the Change Request by converting the business requirement into SQL Technical Complex queries which resulted in an increase in the sales to about 90%

●Identified bugs or defects in the current system and provide support for user acceptance testing

ACADEMIC PROJECT

House Price Prediction Dec 2019

●Analyzed 70 different explanatory variables using regression techniques such as Linear Regression and XgBoost in Python to predict the house prices which resulted in an accuracy level of about 92 percent.

Analyzed U.S. Road Accidents Dec 2019

●Performed exploratory data analysis, data visualization on U.S. accidents and created a Tableau dashboard based on severity, time, weather, road conditions and gained insights.

Walmart Recommendation System Oct 2019

●Analyzed receipts data using Association Rule and Collaborative filtering to recommend products to customers based on the budget in R

Home Automation Using Raspberry Pi March 2017

●Developed a remote-control system using VNC and Python for home appliances to save power and energy.

TECHNICAL SKILLS

Programming: SQL, PL/SQL, Python, R, Pandas, NumPy, Matplotlib, Machine Learning, Scikit-learn

Visualization Tools: Tableau, Power BI, MS Excel, MS PowerPoint, MS Word, MS Office

Databases: Oracle, SQL Server, MYSQL, MongoDB

Awards: Spot Award for Product Development and Support, Commitment to Excellence Award as a part of best performing Team

Relevant Courses: Statistics for Data Analysis, Applied Machine Learning, Econometrics and Time Series Analysis

CERTIFICATIONS

IBM Data Science Professional Certificate February 2019

COMPETITIONS, LEADERSHIP & ORGANIZATIONS

Big Data Club, UTD – Event Management Officer

Played as Captain in Majesco Premiere League in Cricket, Majesco

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