Raghav Chandhok
@raghavchandhok
I’m a data analytics and AI professional building cloud ML pipelines, microservices, and LLM-powered dashboards.
IndiaWhat I'm looking for
I’m a data analytics and AI professional who builds cloud-based ML pipelines, scalable microservices, and LLM-integrated solutions that turn complex data into actionable business insights.
In my current role as a Data Analyst, I designed an automated document-to-audiobook microservice using a multi-stage pipeline (OCR → narration → TTS → subtitle generation), cutting production time from 3–6 weeks to under 1 hour. I also built a distributed fan-out architecture with auto-retry logic, reducing production costs by 40–50% while supporting 24+ languages for multilingual TTS and subtitle generation.
I’ve delivered analytics platforms and forecasting that improve decision-making speed and accuracy—such as unified dashboards across markets, XGBoost-based MCP price forecasting with 80%+ accuracy, and interactive Apache Superset dashboards that reduce manual data retrieval effort by ~75%. I’m at my best when I can automate workflows end-to-end and enable non-technical stakeholders to access insights without SQL.
Experience
Work history, roles, and key accomplishments
Data Analyst
Intellexia AI
Aug 2025 - Present (10 months)
Built a cloud-based document-to-audiobook microservice with an OCR → narration → TTS → subtitle ML pipeline, reducing production time from 3–6 weeks to under 1 hour for a 300-page document. Designed a multilingual parallel fan-out system with auto-retry and forecasting/AI features, cutting production costs by 40–50% and boosting prediction accuracy to 80%+ while enabling NL querying via Text-to-SQ
Data Analyst & Cloud Intern
PwC India
Apr 2025 - May 2025 (1 month)
Developed interactive Power BI and Python dashboards for public-sector clients to support KPI tracking and data-driven decision-making. Delivered emissions compliance and planning dashboards for IOCL, Ministry of Textiles (NTTM), and Ministry of Urban Affairs (AMPLIFI), supporting data validation and stakeholder reporting.
BI Developer Intern
Schneider Electric
Jul 2024 - Aug 2024 (1 month)
Designed an end-to-end SQL Server ETL pipeline to clean and structure financial datasets. Built Tableau dashboards for loan volumes, interest rates, and risk metrics, optimizing SQL queries and reports for performance and scalability.
Education
Degrees, certifications, and relevant coursework
SRM University, Sonepat
B.Tech in Computer Science, Data Science & AI
2021 - 2025
Grade: CGPA: 7.4
Pursuing/earned a B.Tech in Computer Science (Data Science & AI) at SRM University, Sonepat from 2021 to 2025, achieving a CGPA of 7.4.
Tech stack
Software and tools used professionally
Availability
Location
IndiaAuthorized to work in
Job categories
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