Hi There!


Welcome to my world.

I am genuinely passionate about working with numbers, creating compelling plots, and deciphering trends that unfold over time. Whether it is about tackling a complex business problem or unraveling personal financial mysteries, my profound affinity for numbers and a keen interest in the world of data analytics and AI have propelled me on this rewarding journey.

With close to 4 years of experience in the data science industry, I decided to take the next step in my career. In June 2023, I earned my Master's in Data Science from the esteemed University of Washington. Since then, I've played a pivotal role in diverse projects at 2 startups, including the creation of the MVP for CognitiveEdge AI, and designing a RAG LLM for Narratize. As my tenure with Narratize draws to a close, I eagerly anticipate embracing the next exciting chapter in my professional journey.

Aside from crunching numbers, I truly enjoy writing blogs, embarking on continuous learning journeys, and generously sharing my knowledge with others. I have published several blogs and created online courses. My portfolio includes some of my published blogs, making this page a comprehensive showcase of my dedication and expertise.

Recent Work

Optimizing Hoefnagel Puzzle Club Shipping Pipeline

Predict the timing of puzzle completion and subsequent requests, with a proactive approach of sending the next puzzle in advance to optimize time utilization.

Inventory Supply Management for Retail Store

Forecasting the weekly demand for offline supermarkets to manage inventory and prevent overstocking or understocking of products.

Analyzing Text Data using NLP tools

Performed textual data cleaning, and sentiment analysis on WhatsApp chats to generate insights. Published WhatsApp chat analyzer library for python.

Statistical Data Analysis on Goodreads Data

Generated inferences using statistical tests (t-test, z-test) in Python and R to identify which factors significantly affect the popularity of books among readers.

Ocean Ambient Noise Cross-Correlation Study

Measuring the impact of climate change by analyzing the sound waves captured by sensors in the ocean.

Blog: Forecasting Stock Prices using ML and DL models

Trained time series forecasting models including ARIMA, SARIMA and LSTM model to forecast the closing price of the stocks for the next two weeks.

Get In Touch

I am always up for a chat. Let's connect!