Shaswat Dharaiya
Software Engineer @GEP Worldwide
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WORK HISTORY
Software Engineer @GEP Worldwide
Clark, NJ, US
Led the development of privacy-focused Data Access Control (DAC) tool across 50+ supply chain apps for the Analytics team.– Built Python-based NoSQL to DAX query parser, deploying row-level security in Power BI with.NET & Bash, automating 10 hours of query-building time using Azure Data Factory.– Established cross-functional dialogue between Application, Analytics, & DAC teams to standardize process for custom exception handling, eliminating 2+ hours of debugging for RCAs, ensuring data quality.– Secured in monthly savings by connecting Power BI to Delta Tables in Databricks, removing SQL Server dependency. Built a scalable.NET-based solution, reducing refresh time from 1 hour to 30 mins.– Trimmed management time for Semantic Models from 3 days to 1 hour by deploying changes with.NET.– Met industry standards for sub-second response times in historical data retrieval by engineering Version Control and Time-Travel.– Scaled up monthly onboarding capacity from 4 to 55 clients with a Metadata-driven system in Python and attained a real-time latency after syncing with Kafka, boosting revenue from $130k to $570k per month.– Achievements: SPOT Recognition Award for contributing to Self-service Architecture.
EDUCATION
Atmiya Vidya Mandir - International Residential School for Boys
High School
New Jersey Institute of Technology
Master of Science - MS, Computer Science
University of the Cumberlands
PhD, Computer Science
Gujarat Technological University (GTU)
Bachelor's degree, Computer Engineering
ABOUT SHASWAT DHARAIYA
Profile summary:1. Software Engineer @ GEP Worldwide - building scalable tools and automating tedious tasks.2. Software Intern (Automation Engineer) for the client GEP Worldwide on-campus at NJIT from Jul 2022 onwards.3. Data Analyst (Machine Learning) on-campus at NJIT from Dec 2021 to Jul 2022.4. Student Developer for prof. Guiling (Grace) Wang for Master\'s Project. Created ETL Pipelines for Twitter & Reddit Data from Jan 2022 to May 2022.5. Studied the course Adv. DBMS (Fall 22); Deep Learning in Business (Spring 22); Data Analytics with R & Data Mining (Fall 21), and secured an A grade in all.6. Full-Stack Developer (Full-Stack & Data Engineer) at Atmiya Scientific Traders from Aug 2020 to Aug 2021. Developed MERN-Stack apps & ETL Pipelines.7. Research Assistant (Dec\' 19 - Jul\' 20)1. Publication in NLP (Title: Generating Positive and Negative Sentiment Word Clouds from E-Commerce Product Reviews).Python (including Pandas, Numpy, etc): 4 yrsSQL: 3 yrsJava & JS: 4 yrsMachine Learning Models: 3 yrsMongoDB: 2 yrsPL/SQL: 2 yrsLinux: 4 yrsAWS/Azure: 2 yrs
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