Jun 2025 – Present · 10 mos · Hyderabad, Telangana, India · On-site

Jan 2025 – Jun 2025 · 5 mos · Noida · Remote

Nov 2024 – Present · 1 yr 5 mos · Remote · Remote

• Mentoring Data Science/AI aspirants
• Resume writing and review

Aug 2023 – Jan 2025 · 1 yr 5 mos · Remote · Remote

• Collaboratively engineered a data extraction system, reading and processing PDFs to extract soil attributes crucial for predictive modelling and recommendation systems.
• Implemented connection of SQL database, facilitating the seamless transfer of soil details file by file with differentiation based on soil types.
• Collaboratively developed a robust predictive model for soil classification.
• Conducted extensive data preprocessing and cleaning including feature encoding for text, leveraging transformers based pre-trained models such as BERT for text similarity calculations.
• Created multiple Flask API to present and communicate the findings of developed predictive models, ensuring accessibility and usability for stakeholders for different use cases level by level.
• Performed unit testing and static code analysis to improve code quality.
• Implemented pushing the data received and responded in JSON format to database at runtime.
• Implemented extraction of RFP details using Azure document intelligence(OCR) etc.
• Implemented a fine-tuned LLM model to extract summary using RAG technique and prompting.
• Extraction of topic using various techinques like RAG, Summarization, LDA, BERTopic and Rule-Based etc.
• Developed an intelligent chatbot using GPT-4o for dynamic SQL query generation and data retrieval, resulting in efficient and accurate database interactions.
• Designed and implemented a data dictionary pipeline to process, map, and describe table relationships using Pandas, enhancing data organization and accessibility for LLM models.
• Engineered a Retrieval-Augmented Generation (RAG) pipeline using GPT-4o to efficiently identify relevant database tables, enhancing scalability and performance for large datasets.
• Implemented advanced prompt engineering techniques to refine natural language queries, ensuring accurate SQL generation and execution with self-evaluation mechanisms.

Sep 2022 – Jul 2023 · 10 mos · Bengaluru, Karnataka, India · On-site

• created metrics to track active students, app usage(DAU, MAU),NB, GB, Renewal Rate, Payments count teachers across various regions and upgrades etc.
• tracking conversion of students taking test help vs renewals of the subscription.
• examined trial upgrades before and after renewals to run campaign across regions.
• teachers trend of new enrolled students after demo classes, teachers change after no. of classes before and after renewal.
• Cleanup - identifying students having pending coding classes and ensuring transfer of those classes to siblings.
• Cleanup - identifying students asked for refunds and students have been provided class extension after renewals.

May 2022 – Sep 2022 · 4 mos · Gurugram, Haryana, India · On-site

• Calculating the Gross Transaction Value (GTV) and savings on daily and monthly basis.
• Extracting required data for customer support for clients and vendors.
• Building insightful dashboards for strategy after data cleanup.
• Building a category standardization NLP based model to tag product categories and families correctly.

May 2021 – May 2022 · 1 yr · Bengaluru, Karnataka, India

• Calculating the debt incurred by the company due to non payment of bills. Scrutinize the customer behavior based on credit score, past payments, tenure and various payment methods. Exploring the full payment on time, partial payment, no payment and total write off amount by the customer MoM basis.
• Analysing historical churn behaviour.
• Preparing periodic reports based on Gross Sales, Net Sales and understand pre-flow trends MoM basis. Understand different promotional activities, enrollment channel, multiple plan type, rates affecting the sales count as well as drop count.
• End to end automation for BAU reports and automate report in Power BI.
• Implemented script to extract info of energy competitors in Texas