As a Data Analyst with over a year of experience, I specialize in managing the full data lifecycle—from streamlining ELT processes to delivering interactive and insightful dashboards. I hold a Master’s degree from the University of Westminster in London, where I honed my analytical skills to tackle complex data challenges.
With a background in Computer Science Engineering, I’m deeply passionate about turning raw data into meaningful insights. I excel at building robust data models, conducting in-depth notebook analyses, and creating dynamic reports and visualizations using tools like Python, SQL, PowerBI, and Tableau to empower decision-making.
Outside of work, I’m a big fan of spontaneous weekend trips, a PlayStation-loving video game enthusiast, and a strategic chess player. I also love spending time in nature and revisiting timeless 2000s films. These hobbies not only help me recharge but also inspire fresh perspectives and fuel my creativity.
This project focuses on developing prevention strategies to reduce accidents and fatalities on Seattle’s roads. Through in-depth analysis of collision data, we identified high-risk areas and key factors like weather, light conditions, and alcohol influence to inform targeted safety measures.
Conducted RFM (Recency, Frequency, Monetary Value) segmentation analysis on a grocery store dataset. Preprocessed data and applied statistical techniques and machine learning algorithms to cluster customers by purchase behavior. Designed a SQL-based data mart for ongoing analysis, informing targeted marketing strategies to enhance customer lifetime value.
Analyzed 5,000+ Reddit and YouTube comments through NLP techniques like VADER sentiment modeling and LDA topic analysis; delivered precise recommendations for BMW's XM SUV, improving public perception and aligning design with customer sentiments.
Feel free to reach out via email!
My email is arijitchoudhury.99@gmail.com