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Nihal Jaiswal

@nihaljaiswal

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Data Scientist focused on predictive analytics and decision-ready insights.

India

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What I'm looking for

I’m looking for a team where I can build predictive analytics and decision-ready products, run experiments, and own end-to-end data/ML pipelines (including MLOps and deployment). I value measurable impact and strong engineering practices.

I’m an analytical Data Scientist and final-year B.Tech student building predictive models, decision-support systems, and data-driven solutions across sales analytics, recommendation systems, healthcare data, and risk modeling. I translate complex data into actionable business insights, with a strong interest in predictive analytics, experimentation, and decision science.

I’ve completed intensive ML/Deep Learning/NLP/Data Engineering training (10+ hands-on projects) and delivered production-style work, including an AI conversational analytics chatbot with 92% accuracy and sub-second latency for 100+ concurrent users. I also build and deploy MLOps pipelines and LLM applications—like a RAG HR policy QA system—and contribute to research such as a T2I-BiasBench fairness auditing framework.

Experience

Work history, roles, and key accomplishments

Data Science Intern

Meghaminds IT Services

Jul 2025 - Dec 2025 (5 months)

Designed a student performance prediction pipeline achieving 99.23% accuracy on AWS with continuous CI/CD retraining and reproducible releases. Optimized a MovieLens recommender over 1M+ records by accelerating collaborative filtering throughput by 25% using refined KNN/SVD pipelines.

AWS CI CD Machine Learning K NN SVD++Collaborative Filtering Recommenders

AI & Automation Intern

Mirai School

Jul 2025 - Aug 2025 (1 month)

Built an AI-driven conversational analytics chatbot for autonomous query resolution and structured information retrieval. Delivered 92% accuracy and automated 80% of queries while supporting 100+ concurrent users with sub-second latency via a Flask API.

Flask Conversational Analytics Information Retrieval PRAW Docker

Data Science Trainee

PW Skills

Mar 2024 - Dec 2024 (9 months)

Completed intensive training in ML, deep learning, NLP, and data engineering with 10+ hands-on projects. Built predictive, CV, and NLP models using TensorFlow, PyTorch, and Flask with real-world datasets.

Machine Learning Deep Learning NLP Data Engineering TensorFlow PyTorch Flask

Education

Degrees, certifications, and relevant coursework

Rajkiya Engineering College, Banda

Bachelor of Technology, Information Technology

2022 - 2026

B.Tech in Information Technology (Nov 2022 to May 2026). Completed coursework and applied learning through data science and machine learning projects.