Aptologics,  Ahmedabad
Associate Data Engineer (Full-Time) Nov 2024 - Present
- Developed custom data extractors by exploring and testing Salesforce and Google Ads APIs using Postman.
- Proactively owned the Tableau monitoring tool, using APIs and automated Databricks jobs to detect refresh failures and trigger alerts, improving reliability.
- Led R&D to automate QA across Dev/Prod Tableau, achieving 75% accuracy in detecting mismatches and reducing manual checks.
- Explored multiple data models to identify key features and engineered variables. Conducted EDA to uncover patterns. Developed predictive models using logistic regression and XGBoost with over 85% accuracy. Created an interactive dashboard with KPIs and visuals to support business decisions.

Skills: Python, SQL, Salesforce, Databricks, PySpark, Git, Postman, Tableau, RESTful APIs, DBT, Logistic Regression, XGBoost, Decision Tree

DataSlush,  Ahmedabad
Associate Data Scientist (Full-Time) Mar 2024 - Sep 2024

- Built a system to classify marketing form inputs using Large Language Models (LLMs) to understand customer intent and feedback.
- Wrote a Python script to process and categorize the data.
- Used AWS tools like S3 to store data, SQS to manage message queues, and Lambda functions to run the classification automatically.
- Packaged the code and its dependencies in Docker containers for easy and consistent deployment on cloud services.
- Actively participated in client calls, gaining direct exposure to stakeholder requirements.
- Provided regular updates to clients, ensuring transparency on progress, challenges, and key deliverables.

Skills: Python, AWS S3 SQS, BigQuery, Git, Docker, GROQ API 

DataSlush, Ahmedabad
Data Science Intern (Internship) Sep 2023 - Feb 2024
- Worked on a real-world AI project in the EdTech domain, contributing to the development of an AI-powered math tutor aimed at enhancing student learning-problem-solving experiences.
- Acquired domain knowledge and created custom datasets through web scraping and preprocessing to support model training and evaluation.
- Hands-on experience with LLMs, exploring their reasoning, limitations, and use cases.
- Tackled hallucinations and improved output accuracy through prompt tuning and parameter adjustments.
- Worked with various prompt engineering techniques to build and optimize large, few-shot prompts for LLM-powered hint generation.
- Collaborated closely with the team to handle ad-hoc requirements, perform rigorous QA testing, and deliver iterative improvements in a fast-paced agile environment.
- Emphasized continuous learning and adaptability, transitioning from intern to an associate-level role through consistent contribution, ownership, and teamwork. 
- Conducted research, implemented, and tested various scripts.
- Worked closely with clients to ensure clear communication and boost project success by 15%.

Skills: Python, Regex, Sympy, OpenAI, Gemini, Prompt Engineering