- •Strong foundation in data analysis, statistics, and machine learning with hands-on experience in Python, R, SQL and Advanced Excel.
- •Expertise in data visualization tools such as Power BI, Tableau, Qlik Sense to present complex data with an attention to detail.
- •Proficient in applying predictive models, machine learning techniques, including supervised and unsupervised learning to develop models that drive business decisions.
Master of Science in Data Analytics, Applied Machine Intelligence
Northeastern UniversityMaster of Science in Computer Science
St Francis College for WomenBachelor of Science in Computer Science, Mathematics
St Francis College for WomenHumanitarian AI
Data ScientistWorld Salon
Marketing Analyst InternStraumann USA LLC
Data AnalystProduct Analytics | Microsoft Power BI, Power Query Editor, M Language, Microsoft SQL Server
• Discovered data stories and insights from sales and product analytics for the Super Store dataset using complex DAX measures and developed dynamic dashboards, identifying a 15% increase in high-margin product categories.
• Designed robust multidimensional data models in SSMS, incorporating relationships and hierarchies, reducing data preparation time. by 30%, created custom columns and advanced KPIs, enabling accurate insights that improved quarterly sales forecasts by 20%.
HIV Incident Rates | MySQL, Subqueries, Stored Procedures, Aggregate Functions
• Analyzed HIV incident rates in the Asian region, to identify high-risk regions, correlations between income levels and infection rates, and the impact of healthcare access, delivering actionable insights that reduced incident rates by 10%.
• Implemented Common Table Expressions and subqueries to streamline complex queries, reducing execution time by 30%.
COVID-19 Prediction and Forecasting | R, Linear Regression, ANOVA model, Random Forest Regressor, ARIMA model
• Achieved 85% accuracy predicting COVID-19 mortality and spread in Massachusetts using Random Forest Regressor; improved case trend prediction accuracy by 10% through SARIMAX modeling and RMSE optimization.