Dedicated and enthusiastic professional with experience as Software Engineer for three years in a leading software company and worked with Morningstar’s Quant Research team for summer 2019. A graduate from Illinois Institute of Technology with a Masters in Computer Science and Mathematics well versed with Data structures, Algorithms, and designing Cloud Microservices(AWS) using lambda, API gateway, CloudWatch, etc. Proficient in Python and Java. Looking for roles in the Software Engineering domain.

Mornignstar INC

Technologist Intern

Jun 2019 — Aug 2019

• Developed topic modeler which used Python and the SeededLDA algorithm and automatically tagged the articles to different topics which ensured a wider reach of articles to the audience, and reduced human effort by 50%. • Designed report for content writers to know about the number of articles each topic hold, which ensures content writers to focus on underwritten topics.

TATA CONSULTANCY SERVICES

Software Engineer

Nov 2015 — Sep 2018

• Successfully built 7 migration projects for International clients from banking as well as the energy and resource sector. • Migrated close to 70 files from diverse sources such as Salesforce, Databases, XML, EBCDIC, and ASCII to HDFS reducing storage cost by 45% by creating an Enterprise data warehouse. • Worked with the downstream user team to extract data from Hive and Impala, performed exploratory data analysis, and created reports about customer preference on Tableau. • Designed migration pipelines for migrating data from RDBMS to HDFS using SQOOP ensuring dependency on RDBMS is reduced in turn reducing the cost by 40%. • Automated multi-source data extraction process using shell scripts, Autosys tool, improving the time efficiency by 50%. • Led and mentored a team of 3 associates to understand the project and the work on migration of XML file to HDFS.

Illinois Institute of Technology

Computer Science and Mathematics

Aug 2018 — May 2020

Data Analysis, Big Data Technologies, SQL, Python, Cloud Technologies, Machine Learning, Machine Learning in Finance