Illinois Institute of Technology, Chicago

Master's in Computer Science

Charotar University of Science and Technology (CHARUSAT)

Bachelor's in Computer Science

Professional Experience

Data Analyst

Extern

May 2024 - Aug 2024

Analyzed key performance indicators (KPIs) and large datasets using Google BigQuery on Google Cloud Platform, enhancing data accuracy by 30% through optimized SQL queries.

Analyzed business metrics across diverse datasets to uncover trends and operational inefficiencies, implementing data-driven solutions that resulted in a 15% increase in performance efficiency.

Designed and automated reports in Microsoft Power BI, enabling data-driven decision-making and contributing to a 20% increase in user engagement and strategic planning.

Data Analyst Engineer

DevKrutiTech

May 2021 - Jun 2023

Worked closely with stakeholders to define key business metrics and data requirements, ensuring data standardization, automated workflows, and improved cross-team reporting efficiency.

Developed scalable ETL pipelines in Google BigQuery to streamline the ingestion of a client’s high-volume dataset, automating data transformation and reducing processing delays.

Validated and enriched 30,000+ rows with Python and SQL, reducing error rates from 25% to 15% and ensuring high-quality analysis.

Implemented machine learning models for data forecasting, leveraging Python (Pandas, NumPy) for trend detection and SQL for data extraction, optimizing workflows and reducing processing time from 15 to 12 minutes per batch.

Designed 10+ interactive Tableau dashboards, translating raw data into insights and reducing stakeholder decision time by 20%.

Data Science Intern

Kintu Design

Jan 2021 - Mar 2021

In my previous position as a Data Scientist, I was primarily responsible for creating a model for assessing stress levels, which involved combining various data sources to calculate people's stress levels.

At the same time, I was also in charge of designing and implementing chatbots that were specifically meant to respond to users' questions about stress. After then, the Telegram app was used to make these chatbots available to a large audience.