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AnjanaVarun/README.md

👩‍💻 About Me

anjana = {
    "role"        : "Data Scientist | Analytics Professional",
    "location"    : "Bangalore, India 🇮🇳",
    "experience"  : "5+ years (R&D + Business Analytics + ML)",
    "focus"       : ["Predictive Modeling", "Generative AI", "Business Intelligence"],
    "tools"       : ["Python", "SQL", "Power BI", "scikit-learn", "Hugging Face"],
    "domain"      : "FMCG · Retail · Logistics · Finance",
    "projects"    : "17+ end-to-end ML projects on GitHub",
    "superpower"  : "Translating complex data into boardroom-ready decisions 🎯"
}

💡 Domain expert turned Data Scientist — I bring both technical ML depth AND real business context from 5+ years in FMCG analytics, demand forecasting, and BI dashboard development.

🛠️ Tech Stack

Languages & Core

Python SQL SAS

ML & Data Science

scikit-learn Pandas NumPy Matplotlib Seaborn

Generative AI & NLP

HuggingFace DistilBERT GPT--2

BI & Analytics

Power BI Excel

🚀 Featured Projects

17 end-to-end ML projects covering Regression, Classification, Clustering, GenAI & Power BI

# Project Techniques Business Impact
🤖 Ask Me Anything – QA System DistilBERT · NLP · Hugging Face Extractive QA from unstructured text
🔍 Fraud Detection Analysis Random Forest · Precision-Recall High-precision fraud flagging for finance
📉 Telecom Churn Analysis Logistic Regression · EDA · Random Forest Identifies at-risk customer segments
🏦 Bank Term Deposit Prediction Random Forest · Feature Importance Targets high-conversion customer profiles
🏠 Bangalore House Price Prediction KNN · Feature Engineering · EDA Real estate valuation from local features
📊 FNP Sales Dashboard Power BI · DAX · Power Query Interactive sales KPI dashboard
📂 View All 17 Projects

Regression

Classification

Clustering & Unsupervised

Power BI

Generative AI

📈 GitHub Stats

---

🏆 ML Techniques Covered

Regression          ████████████████████  Linear · Multiple · Polynomial
Classification      ████████████████████  Random Forest · KNN · Decision Tree · Logistic
Clustering          ████████████████░░░░  K-Means · Hierarchical
Generative AI       █████████████░░░░░░░  DistilBERT · GPT-2 · NLP
Business Intel.     ████████████████████  Power BI · DAX · Dashboard Design
EDA & Statistics    ████████████████████  Hypothesis Testing · Correlation · Outlier Detection

📌 Key Metrics

🗂️ 17+ ML Projects 📊 20% YoY Business Growth ⚡ 30% Effort Automated 🏭 5+ Years Domain
End-to-end on GitHub Power BI at Bliss Chocolate Reporting pipelines FMCG & R&D Analytics

🎓 Certifications

  • 🏅 Google Data Analytics Professional Certificate — Coursera
  • 🏅 Advanced SQL — HackerRank
  • 🏅 SAS Base Programmer Certification — SAS Institute

"Data without business context is just noise. I build models that speak both languages."

Pinned Loading

  1. -Tax-Fraud-Detection-Random-Forest- -Tax-Fraud-Detection-Random-Forest- Public

    Identifying fraudulent taxpayer profiles via Random Forest and addressing the "Accuracy Paradox" in skewed data.

    Jupyter Notebook

  2. Ask-Me-Anything-QA-BERT-NLP- Ask-Me-Anything-QA-BERT-NLP- Public

    An extractive question-answering system built with DistilBERT to retrieve factual answers from unstructured text.

    Jupyter Notebook

  3. Bangalore-House-Price-Prediction-KNN-Regressor- Bangalore-House-Price-Prediction-KNN-Regressor- Public

    Predicting real estate values in Bangalore using K-Nearest Neighbors regression and distance-based modeling.

    Jupyter Notebook

  4. Bank-Term-Deposit-Prediction-Random-Forest- Bank-Term-Deposit-Prediction-Random-Forest- Public

    Classifying term deposit conversion probability using Random Forest to optimize telemarketing resources.

    Jupyter Notebook

  5. COVID-19-Student-Dashboard-Power-BI- COVID-19-Student-Dashboard-Power-BI- Public

    Interactive Power BI dashboard analyzing the pandemic's impact on student education, health, and lifestyle.

  6. Telecom-churn-analysis Telecom-churn-analysis Public

    Telecom Churn Analysis using Python: Performed end-to-end EDA to identify key churn drivers across tenure, contract type, senior citizens, and payment methods. Includes visual insights, stacked cha…

    Jupyter Notebook