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Sakshi3027/README.md

Hi, I'm Sakshi Chavan 👋

Software Engineer | Data Scientist | ML Engineer
Building production ML systems, scalable APIs, and cloud-native AI applications

I specialize in designing end-to-end machine learning systems from data pipelines and feature engineering to model deployment, monitoring, and real-time analytics.

What I Do

  • Production ML & MLOps workflows
  • Predictive modeling & statistical analysis
  • Cloud-native systems (AWS • Azure • GCP)
  • REST APIs & full-stack data apps
  • Generative AI & multi-agent systems

Featured Projects

SaaS Churn Prediction System

FastAPI + XGBoost + Docker + Streamlit
→ End-to-end ML pipeline with 91% ROC-AUC
→ Model versioning, tracking, and inference monitoring
🔗 https://github.com/Sakshi3027/saas-churn-prediction

Real-Time Advertising Analytics Platform

Hadoop + Kafka + AWS EMR + Docker
→ Processes 100K+ ad events using distributed systems
→ Fraud detection + ROI dashboards
🔗 https://github.com/Sakshi3027/PubMatic-Ad-Analytics

E-commerce A/B Testing Platform

Python + Bayesian Analysis + Streamlit
→ 40K+ users analyzed
→ Monte Carlo simulations + revenue impact ($125K+)
🔗 https://github.com/Sakshi3027/ecommerce-ab-testing-platform

Natural Language Analyst (NL → SQL App)

Node.js + SQLite
→ Converts natural language to SQL queries (95%+ accuracy)
→ Full-stack deployed system
🔗 https://github.com/Sakshi3027/natural-language-analyst

Multi-Agent Research Automation System

CrewAI + Claude API
→ Autonomous agents for research & reporting
→ Reduced manual work by 62%
🔗 https://github.com/Sakshi3027/AI_agents

Tech Stack

Languages: Python, R, SQL
ML/AI: scikit-learn, TensorFlow, PyTorch, MLflow, NLP, Generative AI
Backend: FastAPI, Flask, Node.js
Data/Big Data: Spark, Hadoop, Kafka, Airflow
Cloud: AWS, Azure, GCP
DevOps: Docker, Kubernetes, CI/CD, GitHub Actions

Experience Snapshot

  • Research Assistant – Optimized ML workflows & automated pipelines (+30% efficiency)
  • Teaching Assistant – Led ML labs for 60+ students
  • Data Analyst Intern – Healthcare analytics & predictive modeling
  • Data Science Intern – Customer segmentation & behavior modeling

Currently Exploring

  • Explainable AI (Grad-CAM, LIME)
  • Large Language Models & Agents
  • Real-time ML systems
  • Scalable data engineering

Let's Connect

📧 sakshchavan30@gmail.com

Passionate about building production-ready ML systems and solving real-world problems with data

Pinned Loading

  1. PubMatic-Ad-Analytics PubMatic-Ad-Analytics Public

    Real-Time Programmatic Advertising Analytics using Hadoop MapReduce, Kafka, and Python.

    Python 1

  2. cloudcart-analytics-platform cloudcart-analytics-platform Public

    Production-grade microservices e-commerce platform with real-time analytics | Node.js | Python | Kafka | Kubernetes

    JavaScript 1

  3. ecommerce-ab-testing-platform ecommerce-ab-testing-platform Public

    Comprehensive A/B testing framework with statistical rigor and business impact analysis

    Python 1

  4. ml-docker-deployment ml-docker-deployment Public

    Machine Learning sentiment analysis model deployed with FastAPI and Docker

    Python 1

  5. saas-churn-prediction saas-churn-prediction Public

    End-to-end SaaS churn prediction and retention analytics pipeline. Interpretable ML models, feature engineering, and Streamlit dashboard.

    Python 1

  6. rag-handbook-qa rag-handbook-qa Public

    A production-ready RAG system with citations and hallucination prevention

    Python 1