Hi, I’m Purva — a data analyst who loves turning raw numbers into meaningful stories (preferably with SQL, Python, and Power BI at my side… and maybe a cup of coffee too!). I’ve worked in the banking and pharma industries, building dashboards, predictive models, and automation pipelines that help teams make smarter, faster decisions. I recently completed my Master’s in Analytics from Northeastern University, and yes — I actually enjoy finding patterns in messy spreadsheets. Weird flex, I know.

But beyond the data grind, I’m someone who finds peace in nature, rhythm in music, and creativity in things like drawing and design. These aren’t just hobbies — they shape how I see the world and how I approach work. Whether I’m designing a dashboard or brainstorming with a team, I bring curiosity, focus, and a touch of imagination to the table. I believe good analysts don’t just crunch numbers — they connect the dots, tell stories, and think outside the (data) box. If you're looking for someone who blends structure with creativity, I might just be your perfect dashboard-loving, doodle-making teammate!

I've had the chance to work on projects where data wasn't just a byproduct — it was the star of the show. At HDFC Bank, I created interactive dashboards in Power BI and Looker that helped visualize loan portfolio performance and fine-tune marketing strategies That dashboard didn’t just look pretty — it helped improve campaign ROI by 15% and gave teams clearer visibility into what was actually working.

To handle massive datasets (we’re talking 10M+ records daily), I built Spark applications in Python and PySpark on AWS. That let us dig deeper into budget and credit risk metrics, and we brought prediction accuracy up to 87%. Oh, and I love automation — I streamlined ETL workflows using Alteryx and Python, saving hours and reducing processing time by 30%. The result? Faster insights, fewer errors, and happier teams.

I also tapped into Google Analytics 4 and SQL for A/B testing and user behavior analysis, making sure engagement metrics weren’t just tracked — they were understood. Those insights led to a 20% bump in user interaction, which felt pretty great.

Earlier, in the pharma space at Acute Bioscience, I created Tableau dashboards that helped teams monitor product performance and make smarter decisions. I worked on inventory forecasting models that hit 92% accuracy, and used SQL Server and VBA to clean, move, and manage data more efficiently — reducing errors and speeding up order cycles.

What ties it all together? A love for building useful, insight-rich dashboards, writing clean and scalable code, and always asking “how can this be done better?” Every dataset has a story — and I enjoy helping teams see it more clearly.

At Northeastern University, I dove deep into the world of data — from predictive modeling to dashboard storytelling. While earning my Master’s in Analytics, I wasn’t just taking notes; I was hands-on with tools like and Tableau, turning raw data into insights that could actually drive decisions. Whether it was building visual dashboards for public health data or experimenting with feature engineering in sports analytics, I used every course as a launchpad for real, portfolio-worthy projects.

Courses like Visual Data Analytics, Risk Management, and Enterprise Analytics gave me the perfect blend of business context and technical challenge. I learned how to wrangle data (the messy kind), design clean, usable dashboards, and build models that don’t just “work” but actually make sense to stakeholders. I also got comfortable navigating cloud tools like AWS, handling big data with Spark, and automating workflows that make data pipelines smoother (and a little less painful).

Before that, my undergrad in Information Technology from Mumbai University gave me a strong foundation in coding, databases, and how to think like a problem-solver. That’s where I picked up Python and SQL and started applying them to real use cases — not just textbook exercises.

What stuck with me throughout? That learning tools is great, but learning how to use them to communicate better — that’s where the magic happens. Every assignment, case study, and late-night debugging session taught me something new. And I wouldn’t have it any other way.

• Beyond the Books