Ratnesh Kumar
I'm Ratnesh Kumar, a data scientist based in Delhi, India. I have 4 years of hands-on experience building and deploying production-grade data pipelines and ML models.
About
I’m Ratnesh Kumar, a data scientist based in Delhi, India. I have 4 years of hands-on experience building and deploying production-grade data pipelines and ML models. I have designed and integrated advanced applications including LLM-based chatbots and NLP optimizations, while ensuring scalable and secure cloud infrastructure. I specialize in Python, SQL, and ML Ops, driving efficient end-to-end project delivery and data-driven decision making.
In my current role at TCS, I deliver production-ready AI solutions, integrate AWS Bedrock, build monitoring dashboards, and lead demand forecasting pipelines. I enjoy collaborating with cross-functional teams to transform data into actionable insights, and I continuously explore new tools and techniques to keep a robust cloud-based analytics stack.
- 3 years' experience
- Joined November 2025
Skills· 14
Languages
- EnglishAdvanced
Industry experience
- Software & Internet
- Government
- Professional Services
- Other
Work experience
Designed and maintained government e-marketplace data systems, deploying production-grade AI solutions and leveraging cloud services for real-time monitoring. Integrated large language models with AWS Bedrock in the GenAI Chatbot (Ask GeM AI) project; fine-tuned Mixtral-8x7B-Instruct and implemented AWS Lambda for logging, S3 for storage, and CloudWatch for visualization. Enhanced NLP search by adding an optimizer layer to Apache Solr; used NLTK for preprocessing and integrated SymSpell and Arpa probabilistic models to improve search accuracy. Developed a Flask API for category-specific image uploads, with Pandas and concurrent.futures enabling real-time validation. Engineered demand forecasting pipelines using ARIMA, SARIMA, Exponential Smoothing, and ML models (Linear Regression, Random Forest) for demand and pricing. Implemented BOQ validation with SVM and SBERT embeddings and FAISS for nearest-neighbor search to detect negative brand presence. Built a market intelligence tool to re
Education
Certifications and awards
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