Anwesha Mohanty

I’m a Data Analyst with 2+ years of experience in consulting and product analytics, focused on turning messy data into clear decisions. I bring an MS in Business Analytics and a strong foundation in Python, SQL, Tableau, forecasting, and statistical analysis.

At SportsID Inc., I conducted market and competitive analysis for a new AI-driven athletic subscription product, evaluating 10+ competitors and sizing a $1B+ addressable market to shape go-to-market strategy. I built 3-year user and revenue forecast models with Python and Excel, improving projection accuracy by 25%, and I created Tableau dashboards to track adoption KPIs—boosting cross-team decision-making efficiency by 40%.

Earlier, at SciTech2U, I cleaned and managed 1,200+ student records over 5 years using Excel and Python, reducing errors by 30% and generating insights that increased student engagement by 20%. I also developed interactive Tableau dashboards that cut reporting time by 40% and helped stakeholders make faster, data-driven decisions.

At Tiger Analytics, I supported the ML engineering team by monitoring performance of multiple machine learning models and tracking data drift/trends to improve decision-making efficiency by 30% and mitigate prediction errors. I built automated Python scripts for report generation and visualization to reduce manual effort by 45%, and I led a team of 5 to standardize an AWS SageMaker CI/CD pipeline, improving model onboarding efficiency by 20% while delivering monthly statistical insights that drove a 25% improvement in client satisfaction scores.