chitransha agarwal

AI Researcher

Delhi, India3 yrs 9 mos experience

Most Likely To SwitchAI Enabled

Key Highlights

Led integrations across 18+ OTT platforms.
Engineered personalized recommendation engines using LLMs.
Built automated data pipelines saving hundreds of operational hours.

Stackforce AI infers this person is a Data Scientist specializing in AI-driven solutions for SaaS platforms.

Contact

Skills

Core Skills

Machine LearningData EngineeringData AnalyticsData Science

Other Skills

Amazon Web Services (AWS)Analytical SkillsApache AirflowAzure OpenAIBERTBig DataCChatGPT APICommunicationData AnalysisData EntryData ModelingData VisualizationDatabasesDeep Learning

About

Data Scientist with 2+ years of experience blending economics, mathematics, and machine learning to build scalable, production-grade AI systems. At HT Labs, I’ve led integrations across 18+ OTT platforms, engineered personalized recommendation engines using LLMs like ChatGPT, and built automated data pipelines and QA workflows that saved hundreds of operational hours. I specialize in turning complex, high-volume datasets into intelligent, user-centric products. My expertise spans PySpark, Delta Lake, Databricks, Azure OpenAI, ElasticSearch, and end-to-end ML development. I’ve developed vector-search–driven engines, deployed RAG-based chatbots, and improved customer engagement through ML-driven insights. I’m currently expanding my capabilities in distributed data systems and MLOps, with a focus on designing robust, scalable, and intelligent AI platforms. Open to opportunities in AI innovation, data-driven product development, and impactful collaborations.

Experience

3 yrs 9 mos

Total Experience

1 yr 3 mos

Average Tenure

2 yrs 11 mos

Current Experience

Hindustan times

Senior Executive - Data Scientist

Jul 2023 – Present · 2 yrs 11 mos · Remote

At HT Labs, I work on building intelligent, scalable AI and data systems to power digital platforms like OTTPlay and Slurrp. My role involves designing and deploying machine learning models, automating workflows, and enhancing content discovery through large language models and real-time data pipelines.
Key Contributions:
LLM-Powered Personalization: Developed a custom recommendation engine using ChatGPT-based models for personalized content delivery across OTT platforms.
BERT for Content Intelligence: Built keyword extraction systems using BERT to improve indexing, searchability, and content recommendations.
OTT Analytics: Integrated data from 18+ OTT platforms and performed engagement analytics using Python and SQL, driving content strategy with user behavior insights.
Automation & QA Efficiency: Automated QA workflows, achieving 80% time savings and a 60% reduction in manual effort through Python-based pipelines.
Search & Retrieval: Designed ElasticSearch-based systems for HT Archives and Slurrp, enabling scalable and fast search functionalities.
Chatbot with Azure OpenAI: Built an intelligent customer support chatbot using RAG architecture and Azure OpenAI, enabling real-time, context-aware conversations.
Data Engineering: Contributed to optimizing data pipelines from source databases to ElasticSearch for seamless frontend integration.
Tools & Tech: Python, SQL, Azure OpenAI, BERT, ElasticSearch, Power BI, Git, Delta Lake, LLMs, RAG, ChatGPT API

PythonSQLAzure OpenAIBERTElasticSearchPower BI+7

Ht labs

Data Science Intern

Jan 2023 – Jun 2023 · 5 mos · Remote

Recommender SystemsPostman APIElasticsearchSQLData AnalysisPython+6

The sparks foundation

Data Scientist and Buisness Analyst

May 2022 – Jul 2022 · 2 mos

Used Machine Learning Models like Linear Regression, KNN .

Swiflearn

online teacher

May 2021 – Aug 2021 · 3 mos

Created lesson plans and interactive lessons that cater to diverse learning styles and abilities. I leverage digital tools and platforms to facilitate online instruction and ensure an interactive and stimulative learning experience for my students.