Amita Sahoo

About Amita Sahoo

I turn complex, large-scale data into decisions that move businesses forward.With 6+ years of experience across healthcare, banking, marketing, and marketplace analytics, I specialize in building end-to-end data solutions — from ingestion and modeling to executive-ready insights. My work spans 45M+ regulated records, 120+ recurring reports, and enterprise environments where data quality, governance, and compliance are non-negotiable.At Uber, I’ve worked at the intersection of analytics, experimentation, and real-time marketplace optimization. I helped reactivate 6,500 dormant drivers by analyzing geospatial churn patterns, diverted low-complexity support tickets through GenAI experimentation, and enabled proactive operational decisions that protected an estimated $315K in gross bookings. I also reduced executive reporting time from 5 days to 2 hours by architecting automated SQL + Airflow + Snowflake pipelines.Previously at Epsilon, I identified 14 underperforming marketing segments that saved $215K per month in ad spend and validated 28M+ consumer records ahead of a major product launch. At TCS and KPMG, I built centralized data warehouses, automated ETL ecosystems, and predictive churn models that retained thousands of high-value clients while improving reporting efficiency by hundreds of hours annually.Technically, I operate across the full data stack:• SQL, Python, Spark, R• Snowflake, Databricks, BigQuery, PostgreSQL• Airflow, dbt, Kafka, AWS & Azure• Tableau, Power BI• Applied AI, RAG, LLM automation, experimentation frameworksBut tools are secondary. What differentiates me is how I think.I approach analytics as a business partner — not a report generator. I focus on decision velocity, data trust, and scalable self-service ecosystems. I build with governance in mind (PII, HIPAA, lineage, observability), and I mentor junior analysts to elevate experimentation rigor and cloud-native design standards.I’m particularly excited about the convergence of advanced analytics, real-time data systems, and applied GenAI. My long-term vision is to lead data initiatives that combine robust engineering foundations with intelligent automation — creating analytics platforms that don’t just describe the past but actively shape the future.If you’re building data-driven products, scaling enterprise analytics, or exploring AI-powered automation, I’d love to connect.Let’s build systems that make better decisions — faster.Best regards,Amitha Shaoo

Experience

1. Data Analyst

   Uber

   May 2025 — Present · WA, US

   Synthesized large-scale geospatial datasets using Python (H3) and AWS S3 to identify high-churn zones, adjusting incentive structures that reactivated 6,500 dormant drivers across the West Coast. Evaluated Generative AI customer-support chatbot performance through A/B testing and R, refining response sentiment to divert low-complexity tickets from manual support queues. Optimized surge pricing models by analyzing rider behavior in Presto, Hive, and cloud data lakes, reducing “no-caravailable” events for riders during peak demand windows. Visualized real-time marketplace equilibrium metrics in Tableau and Michelangelo, proactively alerting operations teams to prevent an estimated in lost gross bookings. Streamlined monthly executive business reviews by architecting automated pipelines in SQL, Airflow, and Snowflake, cutting reporting time from 5 days to 2 hours. Mentored 6 junior analysts on experimentation design and cloud-native data modeling to support statistically sound analysis across 40 concurrent global growth campaigns

Education

• Biju Patnaik University of Technology, Odisha

  Bachelor's in Technology, Electrical, Electronics and Communications Engineering

• Florida Institute of Technology

  Master's degree, Computer Engineering