Data Analyst
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 Analyst with 8+ years of experience turning large-scale, multi-source datasets into actionable insights and self-service analytics. I've worked across telecom, healthcare, and manufacturing domains, driving product strategy, KPI definition, and operational improvements through rigorous analysis.
I specialize in building end-to-end data pipelines, Power BI and ThoughtSpot dashboards, and cross-functional reporting solutions. I'm especially passionate about connecting data quality to business outcomes—making complex data accessible and decision-ready for stakeholders at every level.
Outside work, I focus on continuous learning, exploring emerging AI and analytics tools, and deepening my expertise in statistical analysis and data engineering.