Headline

Data Professional with 4+ Years in Media & Metadata | SQL • Tableau • Python | Ex-Nielsen | Open to Operation’s and Data Roles

About

I've spent 4+ years making sure the data that powers your Netflix recommendations, TV schedules, and streaming catalogs is accurate, complete, and on time. At Nielsen, I worked as a Data Mapping Editor and later Content Operations Coordinator managing entertainment metadata at scale for OTT/VOD platforms across global markets. That meant analyzing thousands of TV listings, normalizing data from multiple content providers, and collaborating across time zones to deliver clean, reliable information. I became obsessed with the "why" behind the data. Why do certain patterns repeat? Where do inconsistencies originate? How do you prevent errors before they cascade downstream? That curiosity pushed me to formalize my data analytics skills. In 2024–25, I completed a Data Analyst Fellowship at NextLeap graduating as a Top Fellow where I worked on real-world projects including: → SQL-based analysis of Amazon Brazil market data to surface customer behavior trends and strategic recommendations for Amazon India → A Tableau dashboard for Swiggy analyzing traffic, user behavior, and conversion patterns to improve marketing ROI → Python-based EDA of Bumble user profiles to uncover matchmaking and demographic trends → Excel analysis of Flipkart's customer service data to identify retention improvement opportunities My toolkit: SQL | Python (Pandas, NumPy, Matplotlib, Seaborn) | Tableau | Excel (Pivot Tables, Dashboards) | Google Sheets | Data Visualization Beyond the tools, I bring something rarer: I understand data quality from the inside out. Having managed metadata pipelines and QA processes for nearly 4 years at one of the world's most data-dependent companies, I can spot a mapping error, a normalization issue, or a process gap faster than most. Currently working as an LLM Data Annotator at Innodata, contributing to the training of AI models which means I'm operating at the cutting edge of how data quality directly shapes AI behavior. I hold a Six Sigma Yellow Belt and a Dale Carnegie (Nielsen CORE) certification, with a BCA background in Computer Science. 📬 If you're hiring for data analyst, data operations, or content/metadata analytics roles I'd love to connect. Feel free to message me or check out my projects below.

Location

Bengaluru

AI stack

claude code

claude

ChatGPT

Work experience

Team Lead at Manav robotics, Aug 2026 - Present · 1 mo, Hsr

Data Annotator | LLM Trainer at Innodata Inc., Dec 2025 - Mar 2026 · 4 mos, Bengaluru, Karnataka, India, Annotated and labeled large volumes of text datasets to train machine learning models, maintaining accuracy rates consistently above project quality thresholds in a remote-first environment. Evaluated AI model outputs for factual accuracy, tone, and contextual correctness — directly influencing model improvement cycles for LLM training pipelines. Identified and escalated systematic annotation inconsistencies, contributing to process refinements that improved labeling throughput and inter-annotator agreement.

Content Operations Coordinator at Nielsen, Jan 2025 - Oct 2025 · 10 mos, Bengaluru, Karnataka, India, Managed and enriched entertainment metadata for TV listings across 50+ channels, ensuring on-time delivery of accurate program data to internal and client-facing teams. Investigated and resolved data discrepancies by cross-referencing multiple content providers, reducing content error rates and improving downstream database accuracy. Coordinated with globally dispersed teams across time zones to align on data standards, maintaining consistent metadata quality across OTT and linear TV content catalogs.

Data Mapping Editor at Nielsen, Apr 2021 - Jan 2025 · 3 yrs 10 mos, Bangalore, Normalized and enriched OTT/VOD metadata catalogs from 20+ content providers across global markets, ensuring accurate mapping of content IDs within Nielsen's internal database systems. Maintained data quality standards across high-volume content pipelines, conducting QA reviews that contributed to consistent, on-time delivery of TV listings data to enterprise clients. Earned a Six Sigma Yellow Belt (2023) while in this role, applying process improvement methodologies to identify data pipeline inefficiencies and implement standardization measures. Served as a go-to point of contact for cross-functional teams including editorial, technical, and client-facing units — for data accuracy queries and content-related escalations.

Education

Data Analyst Fellowship, Data Analytics, Nextleap

BCA, Computer Science, National College, Jayanagar, Bangalore-82(Autonomous)