About Me
I’m a curious and driven data enthusiast who loves turning numbers into stories and challenges into solutions. From data analysis and engineering to AI, I enjoy exploring new ideas and learning something new every day. I’m passionate about building impactful, smart solutions and collaborating with teams to make a difference. I’m now excited to find new opportunities where I can keep growing, innovate, and create positive change.
Work Experience
Supply Chain Data Analyst
Compass Group, UMASS Dartmouth
- Analyzed procurement and inventory data using SQL, Python, and ERP systems, reducing supply chain costs by 15%.
- Automated executive dashboards in Tableau and Power BI, cutting manual reporting time by 30%.
- Built predictive models with Python and R to reduce food waste by 25% and speed up decisions by 40%.
Data Analyst (Summer Intern)
Volvo Group Trucks Technology, Greensboro, NC
- Automated ETL pipelines using Python, SQL, and Azure Data Factory, cutting manual processing time by 60%.
- Developed interactive Power BI dashboards providing real-time visibility into certification timelines.
- Built predictive models with scikit-learn and implemented spaCy NLP pipelines to forecast bottlenecks.
Data Solutions Engineer
FactSet Research Systems, Hyderabad, India
- Partnered with global fintech clients to deliver data solutions using SQL, Python, and Power Query.
- Built Power BI dashboards and automated pipelines with Azure Data Factory, while managing client relationships.
Software Engineer Intern
Cognizant, Hyderabad, India
- Built web and enterprise applications using Java, Spring Boot, and JavaScript for quality client solutions.
- Worked in Agile teams with Git and JIRA, contributing to code reviews and on-time delivery.
Technical Skills
Languages & Tools
Cloud, Databases & Big Data
Analytics & Visualization
ML & Frameworks
Projects
Large Dataset EDA Automation
Architected a Python automation framework to analyze multi-million-row datasets, cutting EDA time from 3+ hours to under 2 minutes. The reusable script generates comprehensive reports and uses DuckDB for high-performance SQL queries.
Mental Health Support Bot (Pilot)
Designed a Python chatbot to provide anonymous mental health support. It uses NLTK and RegEx for intent detection and features a safety-first architecture that anonymizes data and directs users in crisis to a lifeline.
Fake News Detection
Advanced system to classify news using a fine-tuned DeBERTa model, enhanced with GPT-4 verification and a RAG fallback using live Google Search for low-confidence claims.
Stock Price Prediction Agent
A Streamlit web app using a Random Forest model to predict the next day's stock price direction, trained on 10 years of data with TA features.
Cyber Security Education Portal
A web-based cybersecurity education platform built with Django, featuring role-based access for admins, contributors, and users to access courses and materials.
IMDb Data Analysis
Analyzed IMDb movie data using Python for cleaning, EDA, and ML modeling to uncover trends. Developed interactive Tableau dashboards for visual storytelling.
A/B Test with Logistic Regression
Performed statistical A/B testing with Statsmodels to assess a new webpage design's impact on conversion rates, providing data-driven recommendations.
Get In Touch
I'm actively seeking new opportunities where I can contribute my skills in data engineering and analytics. If you have a project in mind or just want to connect, I'd love to hear from you!
Say Hello