Shubham Mantri — Consultant
Academia IIT Roorkee (2017) – B.Tech, with a strong foundation in Data Science, ML, and Systems Design Experience 8+ years of hands-on experience in Data Science, Machine Learning, Deep Learning, and AI-driven applications Specialized in Computer Vision, Natural Language Processing, LLMs, RAG, and Agentic AI Currently working as Lead Data Scientist at Jio Platforms Ltd. Companies Experience Jio Platforms Ltd. – Leading innovation in Agentic RAG, multimodal systems, and Generative AI Bureau – Focused on Fraud Detection using ML and Behavioral Biometrics Spinny – Built hybrid ML systems for dynamic car pricing and procurement Skills Programming: Python, SQL, NoSQL Tools: Tableau, Excel, AWS, Redshift, Athena, MongoDB Systems: API Development (Flask, FastAPI), Airflow DAGs, System Design AI/ML Focus: NLP, CNNs, GANs, LLMs, Generative AI, Prompt Engineering, Agentic AI Libraries & Frameworks Data & Visualization: pandas, matplotlib, seaborn, streamlit ML/DL: scikit-learn, tensorflow, keras, pytorch NLP & LLM: spacy, transformers, langchain, llamaindex, langgraph Web & APIs: Flask, FastAPI Image/NLP Ops: rembg, openai, gradio Algorithms Expertise Supervised ML: Decision Tree, Linear Regression, Random Forest Deep Learning: CNN, GANs, MLP Anomaly Detection: Isolation Forest, ECOD AI Architectures: Naive RAG, Agentic RAG, Multimodal RAG LLM & Generative AI: Prompt Engineering, Retrieval-Augmented Generation Project Summaries Jio PDF Query Chatbot (Agentic RAG): Built an intelligent chatbot leveraging Agentic Retrieval-Augmented Generation to extract accurate insights from PDFs. Image-Style Attribute Mapping: Developed a system to match user-input attributes with visual elements, achieving 88% matching accuracy. Bureau Device Intelligence for Fraud Detection: Created device fingerprinting models using ML & rule-based logic. Achieved 99.4% accuracy, onboarding 10+ clients, and driving a 27% revenue uplift. Behavior Biometrics for Bot/ATO Detection: Used motion, touch, and pointer data with advanced anomaly detection models to reach 97% bot detection accuracy and 92% ATO fraud recall. Spinny Hybrid ML Pricing Engine: Designed a Decision Tree + Weighted Regression-based pricing model, achieving a 15% reduction in RMSE and optimizing procurement accuracy. Awards & Achievements 🏆 "Data Science Guru" (Tech Sultan Award – Bureau) for pioneering work in Device Intelligence 🏆 "Best Analyst in Town" (Spinny) for developing pricing models for second-hand cars
Stackforce AI infers this person is a Data Science and AI expert with a focus on Fintech and Generative AI.
Location: Bengaluru, Karnataka, India
Experience: 4 yrs 4 mos
Skills
- Agentic Ai
- Natural Language Processing (nlp)
- Artificial Intelligence (ai)
- Large Language Models (llm)
- Machine Learning
- Data Science
Career Highlights
- 8+ years of experience in Data Science and AI.
- Pioneered fraud detection solutions with 99.4% accuracy.
- Developed innovative pricing models reducing errors by 15%.
Work Experience
Upwork
AI/ML Consultant (7 mos)
Jio Platforms Limited (JPL)
Data Scientist III (1 yr 2 mos)
Turing
Generative AI Engineer (2 mos)
Bureau, Inc.
Data Scientist (2 yrs 2 mos)
Spinny
Data Science Team (Pricing) (1 yr)
Vaibhav Refractories
Senior Business Analyst (1 yr 11 mos)
Padmavati Construction
Business Analyst (1 yr 9 mos)
Education
Bachelor's degree at Indian Institute of Technology, Roorkee
Class XII at Rukmani Birla Modern High School
Class X at Rukmani Birla Modern High School
