Work Experience

ENEL NORTH AMERICA

DATA OPERATIONS CO-OP

  • Performed exploratory time-series analysis on historical load profiles in Python and developed an end-to-end Tableau dashboard with global filters, sets, parameters, and calculated fields, that helped leaders visualize energy usages, identify peak-demand patterns and support event-day planning
  • Aggregated data from multiple sources (Salesforce CRM, enrollment, and energy usage) using Python, SQL, and Excel, and enhanced data flow efficiency by 25%
  • Identified key performance indicators (KPIs) such as number of customers, sites, meters, and usage consumptions (kWh) at different time intervals, and co-developed data views that enabled faster data retrieval with 0 tolerance levels/no discrepancies
  • Optimized portfolio delivery for Demand Response programs by managing customer enrollment, consolidating utility portal data, validating 300+ site records in Excel, and analyzing participation trends in Python
  • Streamlined and automated data collection for 5 energy utilities (e.g. NYSEG, PSEG) via R Shiny & Selenium scripts
  • Minimized data discrepancies through ad-hoc reporting and management of existing data visualization products
  • Created technical documentations for data workflows and test procedures to ensure accuracy and reproducibility

NORTHEASTERN UNIVERSITY

GRADUATE TEACHING ASSISTANT

  • Evaluated and provided detailed feedback on 500+ assignments, and exams, maintaining grading accuracy.
  • Conducted 3 hours of weekly office hours, offering dedicated one-on-one support to 50+ students seeking clarification on course concepts, and assisted them through email correspondence, ensuring timely response.
  • Ensured that assessments and assignments aligned with course learning objectives.
  • Contributed to the students’ learning of Data Analytics by guiding 15 groups on Data Science and Analytics projects.
  • Maintained a well-organized online learning environment, leading to a 95% attendance during virtual sessions.

CHANDA HOSPITAL

DATA ANALYST

  • Digitized, integrated and centralized patient records from disparate sources, eliminating data duplication and enhancing data security while ensuring data quality
  • Utilized advanced analytics techniques to measure the success of interactions and delivered actionable insights that enhanced targeting, boosted conversion, and increased ROI
  • Analyzed demand and supply of prescribed medications and optimized inventory through root-cause analysis and statistical evaluations, achieving 8% savings in procurement costs
  • Predicted peak patient demand using time-series forecasting and optimized staffing and scheduling, which resulted in accommodating 20% more patients during the busy seasons
  • Analyzed patient demographic data in Python and increased engagement by 15% through targeted marketing strategies including preventive care reminders, vaccine campaigns and advocacy programs
  • Provided key recommendations to the internal and external stakeholders by analyzing data in Python