Available to hire
Data and Analytics Engineer with 6+ years delivering scalable data pipelines, analytics platforms, BI dashboards, and applied AI/ML workflows. Core stack: Python, SQL, AWS, data warehousing, ETL/ELT, dbt, Airflow, Spark, geospatial analytics, and multi-agent GenAI systems.
Skills
Experience Level
Expert
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Expert
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Language
Work Experience
Data and Growth Engineer (Data Function Lead) at EssentiallySports
August 1, 2025 - May 1, 2026Led the data and AI function for a sports media house generating ~30M impressions. Built production agentic AI systems and structured RAG pipelines using GCP Cloud Run, Gemini, and AWS Athena to generate Slack recommendations and reduce spam/promotions while improving newsletter CTR. Implemented a multi-agent Google ADK content auditor on Vertex AI/Gemini with tool use, prompt chaining, proprietary-playbook grounding, and gold-set evaluation to serve structured JSON scores to users. Built human-in-the-loop LLM enrichment pipelines storing validated features to AWS RDS and automating dbt incremental runs powering Apache Superset analytics. Architected ETL/ELT flows and governed warehouse models for external partnership data (~$500K), including probabilistic identity resolution for ~80M anonymous readers, enabling attribution and recommendation improvements. Drove growth metrics including scaling newsletter-attributed pageviews from 1.5M to 8.5M, doubling subscriber lifetime, and improvi
Data Scientist (contract) at Blitz Bangalore
December 1, 2022 - March 1, 2023Built performance dashboards for Logistics Ops and FinOps in Metabase and Tableau, tracking 4,000+ orders and 30+ daily KPIs. Optimized PostgreSQL databases and CTE-based SQL workflows orchestrated with Apache Airflow, reducing system-wide query runtimes by ~70%.
AI / ML Engineer & Consultant at Aisens.ai
December 1, 2022 - May 1, 2025Delivered end-to-end applied AI systems for international clients spanning multi-agent orchestration, LLM document intelligence, ML pipelines, API integration, and cloud deployment. Built a five-agent recruiting system on Vertex AI using Google ADK with MCP integrations for LinkedIn/Indeed, achieving ~20x faster shortlisting and recruiter acceptance rate above 95% via human-in-the-loop evaluation. Engineered a layout-aware multilingual document intelligence pipeline for structured extraction from furniture catalogs. Implemented a human-in-the-loop cross-marketplace taxonomy-mapping pipeline, price prediction with Random Forest, and reproducible training + SageMaker deployments. Developed web and document extraction for real-estate agents using Playwright/Selenium/BeautifulSoup/Tesseract with LLM cleanup and rule-based deduplication. Led production AWS log-analytics/data engineering work for HR/payroll logs with monitoring and ETL automation, reducing manual verification time by 80%.
Data Scientist (Full-Time) at Infinite Analytics
March 1, 2020 - November 1, 2022Owned geospatial data-science projects across site selection, location targeting, and campaign optimization. Built scheduled PySpark pipelines on Azure Databricks to geofence 50M+ records (~5TB) daily. Developed collaborative-filtering recommendation models for audience segmentation and marketing insights. Applied spatial statistics, feature engineering, and indexing for high-value market identification across major cities. Built spatial regression and clustering models to forecast $23M in sales and guide $45M investments. Reduced CAC by 40% using XGBoost and logistic regression. Engineered large-scale geospatial pipelines mapping 80M+ POIs to 40M+ building footprints and processing 2TB from NASA/HERE/OpenStreetMap.
Education
Bachelors of Technology (Bio-Engineering) at Indian Institute of Technology, Kanpur (IITK)
January 1, 2018 - January 1, 2019Qualifications
Industry Experience
Software & Internet, Media & Entertainment, Financial Services, Real Estate & Construction, Professional Services
Skills
Experience Level
Expert
Expert
Expert
Expert
Expert
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Expert
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