About Me
Hi, I’m Yugal — MSc in Business Analytics and Decision Science graduate at the University of Leeds, where I have applied forecasting, NLP, SQL, R, Python, and Power BI to solve business problems.
My work includes forecasting US Personal Consumption Expenditure with ARIMA, achieving MAPE < 0.2%, performing sentiment analysis on 2,000 hotel reviews, developing a counterfeit product detection model using Python with 94% accuracy, and exploring cryptocurrency adoption in real estate through thematic and sentiment analysis.
Previously, I worked as a Business Development Executive in AI and blockchain consulting, generating significant revenue and delivering dashboards for clients in the UK and US. I am passionate about using data to support decision-making and am seeking opportunities in consulting and business analytics roles.
What I'm Doing
Forecasting & Time Series
ARIMA/ETS, seasonality checks, backtesting and accuracy tracking for revenue and demand.
NLP & Text Analytics
Tokenization, lexicons, sentiment scoring, and topic insights from customer reviews.
Dashboards & Storytelling
Power BI dashboards with clean visuals and business‑first narratives for stakeholders.
Decision Science (MCDA)
WSM/TOPSIS with scenario sensitivity for site selection and operational trade‑offs.