Mar 2024 – Mar 2025 · 1 yr

• Developed a financial due diligence RAG based LLM system using Gemma, LangChain, and ChromaDB, which reduced analysis time by 80% and improved accuracy in identifying key financial risks and opportunities by 60%.
• Designed a scalable data architecture on Microsoft Azure, leveraging Azure SQL Database, increasing data availability, integrity, and security while minimizing expenditures by approx. $35,000 monthly
• Collaborated with data architects to deploy extract-transform-load (ETL) pipelines to automate rebate process
• Spearheaded Azure Role-Based Access Control (RBAC) to restrict access, ensuring that only authorized
• personnel interaction with sensitive data, resulting in a 25% decrease in unauthorized data access incidents
• Developed a real-time tracking dashboard utilizing SQL and Power BI, ensuring the retention of over 1000 customers and preventing churn
• Defined SLA for data availability in allocated areas of ownership using Azure Monitor and Azure Metrics, which resulted in a 20% improvement in meeting specified data availability standards, enhancing overall reliability
• Designed and deployed an ensemble of 1D-CNN and LSTM models for demand forecasting on GCP VertexAI to drive beverages production and storage optimization efforts.

May 2023 – Feb 2024 · 9 mos

• Syncing Databases with national partner vendors
• Workflow automation on rebate reports
• Storing and Securing sensitive data
• Compiling data to help identify gaps and improve forecasting
• Analyze large datasets using SQL, Python, Excel, and Tableau

Feb 2023 – Jun 2023 · 4 mos · New York, New York, United States · On-site

• Teaching Assistant & Course Grader at Columbia University, Quantitative Methods: Social Sciences department
• Course : GR5072 section 001 Modern Data Structures under Professor Nicholas L Anderson (Spring 2023)
• This course provides some foundational day-to-day tools for a data scientist in industry.
• It includes how to access and clean data, organize and test code using functions and classes, how to set up and publish their own python package, and use Github to keep code version-controlled and in sync with others.
• In addition, it comprises on how to work with APIs, deal with data in a variety of formats, and access databases via SQL.
• Lastly, it includes an introduction to Amazon Web Services on how to store data, create databases, and parallelize computing.

Jan 2023 – Jun 2023 · 5 mos · Cupertino, California, United States

• Capstone project
• Identified potential supply chain disruptions and predicted allocation of resources using decision tree classification model saving $60M and helped in demand planning, repair operations, inventory management and logistics
• Built Tableau dashboards to track supplier performance based on forecasts and commit volumes resulting in reduced decision-making time by 90%

May 2021 – Aug 2022 · 1 yr 3 mos · Mumbai, Maharashtra, India · Hybrid

• Worked on building forecasting models, creating ETL pipelines, deploying and designing ML models for businesses

Nov 2020 – Apr 2021 · 5 mos

• • Transformed terabyte data of purchase receipts into organized, standardized data using Python , Excel, enabling improved reporting and analysis

Aug 2019 – Sep 2019 · 1 mo · Vadodara, Gujarat, India

• Counseled parents and young students on their educational needs and how BYJU's products could help them
• Won the "Star Performer Award" for securing maximum volumes of sales to the company among all interns

Jan 2019 – Jul 2019 · 6 mos · Vadodara, Gujarat, India

• Gained experience in HTML, CSS, Bootstrap, C#, Javascript
• Achieved 1st rank in Tech pack edition, an exam taken at the end of the internship