ANUBHUTI PAL

I’m an MCA Data Science & AI student with practical experience in Python, SQL, and business intelligence projects. I enjoy turning messy data into clear decisions through analytics, visualization, and structured problem-solving.

In my Data Analytics Virtual Intern role at Deloitte–Forage (Virtual), I performed data analysis and interpretation tasks to derive actionable insights. I also worked on analytical problem-solving and reporting based on case studies using Excel, SQL, and Power BI.

My projects strengthened my end-to-end workflow—from preprocessing and EDA to modeling and reporting. I developed a Retail Food Price Analysis and Prediction solution in Python with Streamlit and SQL pipelines, and I compared models like Linear Regression and Random Forest to improve predictive accuracy.

I also build insights through interactive and visual storytelling. From cleaning and analyzing an 8,000+ record Netflix dataset to creating Tableau dashboards for Online Retail Sales Analysis (7,000+ transactions), I focus on KPI reporting, dashboard creation (Power BI, Tableau), and insight generation with strong statistical analysis.