Hire the Best Data Scientists in Pune, IN

20+ production AI systems shipped across consumer brands, Industrial manufacturing, high growth SAAS, HRTEch. Not prototypes. Real systems running 24/7 with measurable ROI. ➜ Enterprise AI systems using Python, Microsoft Graph, Entra ID, Azure OpenAI, RAG, vector databases, and secure API integrations with authentication and authorization. ➜ Production multi-agent architectures with tool calling, evaluation, guardrails, human-in-the-loop review, logging, monitoring, and maintainable backend engineering. I am a 𝐋𝐞𝐚𝐝 𝐀𝐈/𝐌𝐋 𝐄𝐧𝐠𝐢𝐧𝐞𝐞𝐫 with 10+ 𝐲𝐞𝐚𝐫𝐬 of experience across 𝐌𝐚𝐜𝐡𝐢𝐧𝐞 𝐋𝐞𝐚𝐫𝐧𝐢𝐧𝐠, 𝐍𝐋𝐏, 𝐃𝐞𝐞𝐩 𝐋𝐞𝐚𝐫𝐧𝐢𝐧𝐠, 𝐆𝐞𝐧𝐞𝐫𝐚𝐭𝐢𝐯𝐞 𝐀𝐈, 𝐋𝐋𝐌𝐬, 𝐀𝐈 𝐀𝐠𝐞𝐧𝐭𝐬, 𝐕𝐨𝐢𝐜𝐞 𝐀𝐠𝐞𝐧𝐭𝐬, and production AI engineering. Clients rely on me to build 𝐩𝐫𝐨𝐝𝐮𝐜𝐭𝐢𝐨𝐧-𝐫𝐞𝐚𝐝𝐲 𝐀𝐈 𝐬𝐲𝐬𝐭𝐞𝐦𝐬- not just demos or API wrappers. My focus on reliability, scalability, security, and measurable business outcomes has helped me maintain 𝟏𝟎𝟎% 𝟓-𝐬𝐭𝐚𝐫 𝐫𝐞𝐯𝐢𝐞𝐰𝐬 with no negative feedback on Upwork, a track record rarely seen among freelancers with a comparable volume of completed work. I can develop a complete 𝐞𝐧𝐝-𝐭𝐨-𝐞𝐧𝐝 𝐀𝐈 𝐩𝐫𝐨𝐝𝐮𝐜𝐭- from solution architecture and model development to backend, frontend, cloud deployment, monitoring, and scaling- or integrate an AI solution directly into your existing applications and business workflows. 🤖 𝐀𝐈 𝐀𝐠𝐞𝐧𝐭𝐬 & 𝐋𝐋𝐌 𝐀𝐩𝐩𝐥𝐢𝐜𝐚𝐭𝐢𝐨𝐧𝐬 ➜ Agentic AI systems using LangGraph, AutoGen, CrewAI, and custom orchestration frameworks ➜ Multi-agent workflows, tool calling, memory, planning, human-in-the-loop, and autonomous task execution ➜ Custom AI chatbots and copilots using OpenAI, Claude, AWS Bedrock, Llama, Mistral, and Qwen ➜ RAG pipelines, semantic search, hybrid retrieval, reranking, vector databases, and knowledge assistants ➜ Document intelligence, natural-language-to-SQL, structured data extraction, and workflow automation ➜ LLM evaluation, guardrails, prompt engineering, structured outputs, and hallucination reduction 🎙️ 𝐀𝐈 𝐕𝐨𝐢𝐜𝐞 𝐀𝐠𝐞𝐧𝐭𝐬 ➜ Built and productionized multiple real-time AI voice agents using 𝐋𝐢𝐯𝐞𝐊𝐢𝐭 ➜ AI voice receptionists, customer support agents, sales agents, appointment-booking agents, and voice assistants ➜ Low-latency speech-to-speech conversations, natural turn-taking, interruption handling, and voice activity detection ➜ Function calling, call routing, telephony integration, human handoff, and workflow automation ➜ Integration with STT, TTS, LLMs, APIs, CRMs, databases, and enterprise knowledge bases ➜ LiveKit Agents, Deepgram, OpenAI Realtime, ElevenLabs, Amazon Polly, Claude, and AWS Bedrock 📊 𝐌𝐚𝐜𝐡𝐢𝐧𝐞 𝐋𝐞𝐚𝐫𝐧𝐢𝐧𝐠 & 𝐃𝐚𝐭𝐚 𝐒𝐜𝐢𝐞𝐧𝐜𝐞 ➜ Predictive modelling, classification, regression, clustering, and anomaly detection ➜ Time-series forecasting, demand forecasting, customer segmentation, and churn prediction ➜ Recommendation engines, ranking systems, personalization, and similarity matching ➜ Sentiment analysis, text classification, topic modelling, summarization, and information extraction ➜ Computer vision, object detection, image classification, motion tracking, and scene recognition ➜ Feature engineering, model evaluation, explainable AI, experimentation, and MLOps 🧠 𝐋𝐋𝐌 𝐅𝐢𝐧𝐞-𝐓𝐮𝐧𝐢𝐧𝐠 & 𝐃𝐞𝐩𝐥𝐨𝐲𝐦𝐞𝐧𝐭 ➜ Fine-tuning LLMs for domain adaptation, Q&A, classification, extraction, legal, medical, and enterprise use cases ➜ Synthetic dataset generation, training-data preparation, and evaluation frameworks ➜ LoRA, QLoRA, supervised fine-tuning, and instruction tuning ➜ Production deployment using vLLM, Hugging Face, AWS, GCP, RunPod, Docker, and serverless infrastructure ☁️ 𝐀𝐖𝐒 & 𝐏𝐫𝐨𝐝𝐮𝐜𝐭𝐢𝐨𝐧 𝐀𝐈 ➜ AWS Bedrock, SageMaker, Lambda, API Gateway, ECS, ECR, S3, RDS, DynamoDB, and OpenSearch ➜ Secure, scalable, multi-tenant AI applications and data pipelines ➜ Python, FastAPI, PostgreSQL, Redis, MongoDB, and vector databases ➜ Monitoring, model evaluation, latency optimization, cost control, and production support Whether you need a complete 𝐀𝐈 𝐒𝐚𝐚𝐒 𝐩𝐫𝐨𝐝𝐮𝐜𝐭, an 𝐀𝐈 𝐜𝐨𝐩𝐢𝐥𝐨𝐭, a 𝐯𝐨𝐢𝐜𝐞 𝐚𝐠𝐞𝐧𝐭, a predictive ML system, or an AI capability integrated into your existing workflow, I can take it from idea to a secure, scalable, and production-ready solution.

Data Engineer & AI Developer | 3+ Years Financial Industry Experience I build data pipelines, AI-powered applications, and automation systems that run reliably at scale. My background spans web scraping, LLM integration, computer vision, betting automation, and full-stack data dashboards — delivered to clients across the US, UK, Europe, and Japan. 💼 Background — 3+ years at a leading Indian bank building risk models, credit scorecards, and AutoML pipelines — PG Diploma in Big Data Analysis ⚡ What I Deliver — Web scrapers handling 1.2M+ URLs and 120K daily pipelines — LLM/AI apps using GPT-4, Gemini, LangChain, RAG, Text-to-SQL — Full Betting automation for horse racing, golf, and football signals — Computer vision pipelines with YOLOv8 and PaddleOCR — Streamlit dashboards, risk scorecards, and AutoML tools 🏆 Notable Work — PitchBook scraper — 1.2M URLs — Njuskalo — 120K daily real estate listings — Text-to-SQL architecture — BetFare — full Betfair automation — LLM Notebook — $1,420 solo delivery — Anti-bot bypass systems 🛠️ Stack Python · Playwright · Selenium · GPT-4 · Gemini · LangChain · Streamlit · PySpark · SQL · YOLOv8 · PaddleOCR · FastAPI · Betfair API · n8n Clean code. Clear communication. Delivered on time.

I am a Lead Data Scientist and Data Engineer with over 10 years of experience turning messy, complex datasets into scalable, high-accuracy predictive systems and automated data pipelines. I specialize in the Retail/FMCG and Healthcare/Pharmaceutical sectors, bridging the gap between advanced technical architecture and actionable business strategy. Backed by an Executive PG in Data Science & AI from IIT Roorkee and holding Microsoft Certifications in Python and Azure (AZ-900 & DP-100), I build the "intelligence layers" that drive enterprise decision-making. My Core Technical Expertise: Data Engineering & ETL: GCP (BigQuery), SQL, dbt, Parquet, Batch Processing, Multiprocessing Programming & AI/ML: Python (Pandas, Scikit-learn, Regex, Flask, Streamlit), R, SAS, Predictive Modeling, GenAI Business Intelligence & Viz: Power BI, Looker, Clinical Dashboards Proven Domain Impact: Retail & FMCG: Engineered automated POS data pipelines (36-month initiative), improving loading efficiency by 30%. Led a 24-month product harmonization project using predictive modeling to resolve discrepancies across millions of records. Designed GCP/BigQuery demand forecasting pipelines to optimize supply chain inventory. Healthcare & Clinical Analytics: Deep experience integrating open-source tools (Python, R, SAS) for clinical trial data visualization. Proficient in building interactive clinical dashboards utilizing Pharmaverse, SDTM, and ADaM datasets. Cloud Architecture & Metrics: Migrated massive datasets to modern cloud environments and developed robust DAU/MAU tracking structures inside BigQuery and Looker. Why Work With Me? I do not just execute code; I solve business problems. Alongside my technical career, I manage my own coworking space business, meaning I inherently understand the commercial urgency, stakeholder management, and extreme ownership required to deliver ROI. Whether you need to deploy an AI model, untangle enterprise ERP data, or build an interactive dashboard from scratch, I write clean, maintainable, and production-ready code. Let’s connect to discuss how we can scale your data infrastructure and build models that actually impact your bottom line.

Enthusiastic Data Scientist ,Data Engineer, Financial Analyst and Python Developer with great Problem Solving skill, Quick Learner and Critical thinker. Technologies Expertise - Python , Neo4j, Linux Server, SQL, MongoDB, Excel ,Power BI, Tableau Project Expertise - Web Scraping(Can Scrape Millions Data ), Python Scripting, Machine Learning Projects, DataBase Setup(Neo4j , MongoDB), ETL Pipelines Creation .