Data Scientist
Statistical Analysis • A/B Testing • Python • SQL • ThoughtSpot
8+ years applying statistical modeling, experimentation, and scalable data pipelines to drive product strategy and investment decisions across telecom, healthcare, and manufacturing.
Comcast Corporation — Philadelphia, PA
Skygen USA LLC — Menomonee Falls, WI
EMR Metal Recycling — Camden, NJ
Adaequare — Hyderabad, India
Built a Rundeck-driven export pipeline using JSON/YAML configs and AWS S3 delivery, enabling automated KPI extracts with validation-ready outputs.
Developed trend dashboards using Trino/Oracle SQL and Power BI/ThoughtSpot to track product adoption, user behavior, and anomaly detection across Comcast's digital platforms, supporting executive review and experimentation reporting.
Created and optimized SSRS operational reporting with parameters/subreports and performance tuning using execution plans and indexing for healthcare operations.
I'm a Data Scientist with 8+ years of experience applying statistical analysis, mathematical modeling, and experimentation to turn large-scale datasets into actionable product insights. I've worked across telecom, healthcare, and manufacturing domains, driving product strategy, investment decisions, and operational improvements through rigorous data science.
I specialize in designing and analyzing A/B tests, building experimentation frameworks, and developing scalable data pipelines that power analytics and reporting. I'm especially passionate about the intersection of statistical rigor and practical product impact—translating complex models into decisions that matter.
Outside work, I focus on continuous learning, exploring emerging data science tools, and deepening my expertise in machine learning and causal inference.