Built several key metrics dashboards, using Looker and LookerML, that monitored conversion rate growth
Performed ad-hoc and investigative analysis, using Snowflake, that maps health insurances to providers
Conducted cohort analysis, leveraging datacuts, to gather valuable insights on customer behaviors such as entry points / onboarding and time spent on ZocDoc’s platform
Identified new hypotheses and future A/B tests for the health insurance business unit and product teams to explore that has a high likelihood of positively impacting key metrics
Inform policy decision-making for Taxis and For-Hire Vehicles (FHV), such as Uber and Lyft, through historical and projected analysis
Delivered strategic and tactical insights for stakeholders on increasing Medallion taxi drivers income by 33%, the first rate increase in ten years within the industry.
Initiated the use of Power BI dashboards to reduce monthly ad-hoc requests by 60%
Published work: Charged Up!
Triaged and supported E911 call center software applications and network connectivity issues for NYPD & FDNY
Analyzed ticketing reports from Remedy for incidents that have recurring problems requiring further investigation. Reduced unnecessary incident tickets month-to-month by 50%.
Provided network infrastructure support to minimize repair times for service interruptions
Analyzed customer and outage data to identify network trends and dispatched technicians to resolve degradation
Reduced repair times year-over-year decreasing mean time to repair (MTTR) from two days to 1.5 hours
Expected Graduation December 2024
Achievements
Magna Cum Laude
Dean's List
Achievements
Phi Theta Kappa (PTK) Honor Society
Dean's List
Python (Pandas, Numpy)
SQL (Aggregation, Joins, Window Functions, CTEs)
C++
R
Microsoft SQL Server
duckDB
Google BigQuery
Microsoft Access
Oracle Cloud
Snowflake
Looker
Microsoft Power BI
Tableau
Microsoft Visio
Matplotlib/Seaborn
Plotly
JupyterLab / Jupyter Notebook
Microsoft Visual Studio
R Studio
Microsoft Office (Excel, Word, Powerpoint)