About Me
I'm a data and business analyst who enjoys using data to solve real problems and support better decision-making. I've worked with SQL, Python, Tableau, and Power BI to clean data, build dashboards, and uncover insights. If I join your team, I'd focus on understanding your business, ensuring data accuracy, and delivering clear, actionable insights that help drive results.
Tools
🧰 Tools
SQL
Expert
Excel
Expert
Tableau
Expert
Power BI
Expert
Python
Expert
MS Project
Intermediate
JIRA
Intermediate
AWS
Intermediate
Work Experience
Data Scientist
Community Dreams Foundation (July 2025 – April 2026 · Florida)
- Analyzed workforce and program data using Python and SQL, building predictive models and dashboards that tracked enrollment, completion, and placement outcomes, reducing reporting effort by 30%.
- Developed and deployed machine learning models using Scikit-learn and AI tools to automate data workflows and surface insights, cutting data preparation time by 25%.
- Built Tableau dashboards to visualize program KPIs and present data-driven findings to leadership, enabling faster and more informed decision-making.
AI & Data Analyst
Incedo Inc (May 2024 – August 2024 · New Jersey)
- Created a RAG-based chatbot for a new digital product, incorporating in-depth research on LLMs, LangChain models, and RAG models, resulting in a significant increase in response accuracy compared to conventional chatbots.
- Optimized the RAG pipeline by researching and implementing optimal retrievers and chunking methods, reducing latency and enhancing retrieval accuracy.
- Developed knowledge graphs using Neo4j for the company's file structure, increasing data retrieval efficiency through extensive research on knowledge graphs and ontology management.
Data Analyst
Paragon Diagnostics (June 2020 – June 2023 · Madurai, India)
- Collected, cleaned, and analyzed large operational datasets using advanced SQL queries, improving data retrieval speed by 20% and reporting accuracy by 15%.
- Built and maintained KPI dashboards in Power BI and Excel to track sales performance, inventory levels, and fulfillment rates, giving management real-time visibility into business performance.
- Conducted trend and statistical analysis in Python and Excel to identify cost-optimization opportunities, informing quarterly sales strategy and improving regional revenue targets by 12%.
- Developed automated SQL reporting pipelines to replace manual Excel processes, cutting report generation time by 35% and ensuring consistent, reliable data outputs across teams.
Work Examples
💼 Portfolio