About Me
Hi there! I'm a data analyst who enjoys working with numbers and turning them into easy-to-understand insights. I started learning Python back in school, and that’s where my interest in data really began.
I later completed my Bachelor's degree in Computer Applications (BCA), but my true passion has always been data analysis. Over time, I have learned tools like Excel, Power BI, SQL, and Python to work with data and solve real problems.
In this portfolio, you’ll find some of the projects I have worked on. Each one helped me learn something new and improve my skills. I enjoy making messy data clean and useful, and I love finding patterns and answers that help businesses make smart decisions.
Feel free to explore my work. If you think we can work together or if you just want to talk about data, I’d be happy to connect!

2
Excel Projects

2
PowerBI Projects

1
Python Project
Key Skills
My Projects
My Experience
Data Analyst | Ohm Analytics
📅 Jan 2025 - Present
As a Data Analyst in the cleantech industry, I focus on scaling clean energy insights by expanding solar permit coverage, automating unstructured data processing, and delivering accurate, large-scale reporting to support strategic decision-making through:
➡️ Researching, reaching out to, and onboarding 1,000+ new AHJs across the US, tripling data coverage and enhancing market insights for stakeholders.
➡️ Automating complex PDF-to-Excel data structuring using PDF.co and custom VBA scripts, reducing manual data cleaning time by over 50% for unstructured datasets.
➡️ Consolidating, structuring, and validating monthly and quarterly permit data from Excel, PDF, and JSON sources, processing 100K to 1M records with 95%+ accuracy for timely nationwide reporting.
Junior Data Analyst | Ohm Analytics
📅 May 2024 – Dec 2024
As a Junior Data Analyst in the cleantech industry, I optimize data collection, automation, and transformation processes to improve efficiency and ensure high-quality datasets for analysis and reporting through:
➡️ Compiling and structuring solar and multi-category permit datasets from diverse sources, handling thousands to 100K+ records with 95%+ accuracy.
➡️ Automating repetitive cleaning tasks using custom VBA scripts, cutting manual effort by 30% and improving data consistency for reporting.
➡️ Delivering clean, structured datasets that enabled senior analysts to produce insights improving market forecast accuracy by 10-15% for Solar, EV charging, HVAC, and electrification.
Awards & Certificate
Let's Work Together!
Feel free to get in touch with me. I am always open to discussing new projects, creative ideas or opportunities to be part of your visions.