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)
- Analyzed workforce training program data using Python and SQL to track participant enrollment, course completion, and job placement outcomes, reducing manual grant reporting effort by 30%.
- Built a classification model using Scikit-learn to segment participants by skill level and career readiness, helping the Green Collar Jobs team improve job placement match rates by 20%.
- Developed Tableau dashboards tracking clean energy contractor engagement metrics on the Green Connect platform, giving leadership real-time visibility into matchmaking performance and trends.
- Leveraged AI tools to automate routine data cleaning and exploratory analysis workflows, cutting data preparation time by 25% and enabling faster delivery of program impact insights.
Data & AI Analyst
Incedo Inc (May 2024 – January 2025)
- Built a Retrieval-Augmented Generation (RAG) chatbot using Python, LLMs, and vector databases to automate HR document search, reducing average document retrieval time by 40%.
- Constructed a Neo4j knowledge graph using Cypher queries to map relationships across internal HR files, improving contextual search accuracy by 30%.
- Designed a Streamlit-based demo application to present the RAG solution to management, contributing to a 25% reduction in manual HR reporting effort through automated Tableau dashboards.
- Automated data validation workflows using Python and SQL to catch inconsistencies across HR datasets, reducing data errors by 20% and improving confidence in downstream analytics.
Data Analyst
Paragon Diagnostics (June 2020 – June 2023)
- Led the design and deployment of a Power BI sales and inventory tracking dashboard, giving management real-time visibility into stock levels and fulfillment rates, reducing stockout incidents by 22%.
- Developed an automated SQL reporting pipeline to replace manual Excel processes for monthly order and delivery data, cutting report generation time by 35% and improving data accuracy by 15%.
- Conducted year-on-year sales trend analysis using Python and Excel across key product lines and territories, informing quarterly sales strategy and improving regional revenue targets by 12%.
- Mentored 2 junior analysts on SQL querying, data cleaning, and dashboard development, standardizing team reporting workflows and reducing analyst onboarding time by 30%.
Work Examples
💼 Portfolio