Master of Science, Data Science and Analytics

2021 - 2023

Georgetown University, Washington DC

Coursework: Probability Modeling and Statistical Techniques, Advanced Data Visualization, Machine Learning App Deployment, GIS, Time series

Co-Curriculars: Student Data Analyst at Georgetown Baseball Analytics Team, with experience in Georgetown Event Management (GEMS) and Georgetown Transportation Systems (GUTS). Played in Georgetown's Intramural Basketball and Soccer leagues. Volunteered for Lander Analytics and Rgov Conferences.

GPA: 3.7/4

Skills: Python (NLTK, sklearn, tensorflow, hugging face, sklearn, keras, pytorch, geopandas, numpy, pandas,etc) Rstudio (keras, timeseries, tidyverse, shiny, caret, rmarkdown, raster, leaflet, lubridate, etc) AWS (ec2, sagemaker, s3, redshift, EMR, etc) MS Azure (databricks, pyspark, data factory, etc) SQL Tableau Heroku Docker Github/Gitlab

Bachelor of Engineering, Information Technology

2016 - 2020

Gujarat Technological University

Coursework: Data Structures, Object-Oriented Programming in C++, Advanced Java, Data Management in SQL, Business Management and Software Lifecycle, Hadoop Ecosystem, Computer Networks, Data Mining, and Artificial Intelligence.

Co-Curriculars: Represented the University Basketball Team at All Intdia University competition (AIU), winner of local coding competitions and team building events, member of GCET Dance Mob Group, volunteered for IEEE Events.

GPA: 3.65/4

Skills: C/C++ Java Software Mgmt Software Deployment SQL Python Advanced Mathematics

International Scholar Exchange Program, GTU

2019

Laurentian University, Ontario, Canada

Coursework: Mobile Computing and Wireless Communication and Web Data Management

Description Participated in the (IEP) at Laurentian University, Ontario for one semester, studying and immersing myself in diverse cultures and education systems. I also contributed to a project focusing on designing an interactive system to collect and store user web data.

Grade: A

Skills: HTML/CSS Javascript XML and JSON data IOT

Assistant Professor, Laxmi Vidhyapeeth

Nov 2020 - Jul 2021

Computer Science Department, Sarigam, India

Subjects Taught: Big Data Analytics, Artificial Intelligence and Computer Organization

• Implementing personalized learning plans for students including interactive quizzes, lab program files, and vivas, resulting in a notable improvement in their overall grades.
• Implemented a functional feedback system using phpMyAdmin and JavaScript to enhance communication and collaboration between faculty and students. This streamlined faculty feedback process, leading to more effective interactions and better academic outcomes.

Sr. Data Analyst, Bank of America

Dec 2024 - Present

Core Technology Infrastructure Team -- Richmond, VA

• Build Python-based automation and data quality checks to monitor data accuracy, completeness, and consistency, improving trust in recurring reports and self-service analytics.
• Contributed to CMDB migration from BMC Remedy to ServiceNow, coordinating data mapping, validation, and cutover to achieve 100% data accuracy with zero data loss. Proficient in Power BI for advanced data visualization and Excel for in-depth data analysis and reporting.
• Partnered with analytics, engineering, and operations teams to translate business questions into metrics, governance controls, and scalable analytical solutions.

Data Analyst/Financial Engineer (Remote) The Oakleaf Group

May 2024 - Oct 2024

Modeling and Analytics Team -- Bethesda, MD

• Improved SQL data warehouse performance by optimizing queries, indexing strategies, and integrating Amazon S3 for data storage, leading to a 30% reduction in query response time.
• Conducted comprehensive data analysis and quality checks for RMBS litigation cases, ensuring accuracy and consistency in results.
• Enhanced and maintained a proprietary PDF scraping tool using Python and SQL called “PDF scraper”, improving data extraction efficiency and converting unstructured data into an analytics-ready format.

Data Scientist Intern, Drevol

May 2023 - Feb 2024

Data Science and Analytics Team -- Redmond, WA

• Utilized AWS Sagemaker-Python and SQL to extract large-scale datasets (approximately millions of rows) from AWS Redshift by composing intricate queries. Employed k-means clustering techniques to identify potential customers based on their characteristics and behaviors.
• Designed and deployed data modeling pipelines on AWS using Airflow, resulting in a 40% reduction in data processing time and leveraged Airflow's scheduling capabilities to automate pipeline execution.
• Implemented a custom data visualization dashboard using Tableau, enabling stakeholders to intuitively interpret and interact with key performance metrics, leading to enhanced decision-making.

Data Scientist/Data Analyst, Revokarmahub Software and Services

Aug 2018 - July 2021

Sales and Marketing Team -- Gujarat, India

• Designed and built data pipelines for production-level infrastructure monitoring, utilizing Python and AWS services like Sagemaker, EC2 and Lambda, resulting in a 35% improvement in real-time data ingestion and scalability
• Used AWS services like EC2, S3, and SageMaker along with Python to set up an MXNet Object Detection algorithm. This reduced nearly 30 hours of manual work each month by automating the data labeling processes.
• Utilized data analysis tools such as Python, PowerBI and R, achieving a 30% reduction in processing time through optimization strategies.