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Renaissance
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Renaissance

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Hi, I'm Abhishek Tiwari 👋

  • 🔭 I build end-to-end ML systems - pipelines, serving, monitoring, CI/CD
  • 💼 Lead Assistant Manager @ EXL Services - 4 YOE Enterprise AI (GenAI & Agentic AI POCs)
  • 🎓 B.Tech, NIT Raipur '22
  • 🏆 4x Super Squad Award @ EXL (2024 & 2025)
  • 🥇 Global Rank #8 - HR Analytics, Analytics Vidhya
  • 🎓 AWS ML Scholarship & Bertelsmann Technology Scholarship - Udacity
  • 📚 3x Udacity Nanodegrees - DA, AI with Python, Predictive Analytics for Business

🚀 Featured Projects

Project What it proves Stack Live
PhishGuard Production MLOps - 6-stage pipeline, production gating, CI/CD FastAPI · MLflow · Docker · MongoDB ▶ App
Customer Churn Prediction Business-impact ML - cost-asymmetric modelling, SHAP, drift monitoring scikit-learn · SHAP · pytest · SQLite ▶ App
System Performance Analyzer Full-stack ML app - real-time anomaly detection, JWT auth, PDF reports Streamlit · Isolation Forest · Plotly ▶ App
Thunderstorm Forecasting Imbalanced classification - QDA + SMOTETomek on 40 yrs atmospheric data scikit-learn · MLflow · imbalanced-learn ▶ App

🛠️ Tech Stack

def abhishek():
    languages = ['Python', 'SQL']
    ml = ['Scikit-learn', 'XGBoost', 'SHAP', 'imbalanced-learn', 'Pandas', 'NumPy']
    mlops = ['MLflow', 'DagsHub', 'Docker', 'GitHub Actions', 'pytest']
    serving = ['FastAPI', 'Streamlit', 'Pydantic', 'Swagger UI']
    databases = ['MongoDB Atlas', 'SQLite', 'MySQL', 'MariaDB']
    enterprise_ai = ['Appian', 'Generative AI', 'Agentic AI']
    currently_learning = ['LangChain', 'PyTorch', 'AWS']
    return "Open to: Data Scientist | ML Engineer | Applied AI Engineer"
🏆 Achievements & Competitions
Achievement Details
🥇 Global Rank #8 HR Analytics - Analytics Vidhya (Jun 2023)
🥇 Global Rank #67 Power Plant Energy Prediction AI Challenge (Aug 2021)
🏅 Global Rank #299 AmExpert 2021 - ML Hackathon
🏅 Global Rank #496 Identify the Digits - MNIST Hackathon
⭐ 5 Star Golden Badge Python - HackerRank
⭐ 5 Star Golden Badge SQL - HackerRank
🎓 AWS ML Scholarship Udacity (2021)
🎓 Bertelsmann Tech Scholarship Udacity (2020)
🏆 4x Super Squad Award EXL Services (2024 & 2025)
📊 GitHub Stats

📫 Let's Connect

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  1. PhishGuard PhishGuard Public

    AI-powered phishing website detection | FastAPI + Streamlit + MLflow | End-to-end MLOps pipeline with MongoDB, DagsHub tracking and Docker deployment

    Python 1

  2. Telco-Customer-Churn-Prediction Telco-Customer-Churn-Prediction Public

    End-to-End ML system that identifies customers at risk of churning, quantifies business impact and serves predictions through Streamlit application with drift monitoring and audit logging.

    Jupyter Notebook 1

  3. System-Performance-Analyzer System-Performance-Analyzer Public

    A Streamlit web app that monitors CPU, RAM, battery, network and processes in real time. Includes ML-based anomaly detection, health scoring and PDF report generation. Built with psutil, scikit-lea…

    Jupyter Notebook 1

  4. Thunderstorm-Forecasting Thunderstorm-Forecasting Public

    Next-day thunderstorm prediction from atmospheric sounding indices - QDA + SMOTETomek pipeline served via Streamlit

    Jupyter Notebook 1

  5. Retail-Data-Insight-Application Retail-Data-Insight-Application Public

    Built an end-to-end Retail Data Insight Application in Python to extract actionable business intelligence from e-commerce transaction data, delivering insights through a structured 3 level PDF repo…

    Jupyter Notebook

  6. Financial-Tracker-Application Financial-Tracker-Application Public

    Built a command-line Financial Tracker Application in Python with a modular, production style architecture.

    Jupyter Notebook

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