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anam-aleena/README.md

Hi, I'm Aleena Anam 👋

AI/ML Engineer · Data Scientist · AI Agent Developer

Building intelligent systems that solve real problems — from fraud detection to NLP-powered resume screeners.

🚀 About Me

  • 🔭 Currently building end-to-end ML pipelines and AI-powered tools
  • 🌱 Exploring LLMs, RAG, AI Agents, and Vector Search
  • 💼 3 industry internships in AI/ML, Data Science & Microsoft Azure
  • 🏆 13+ certifications from Oracle, Microsoft & Google
  • 📍 Nanded, Maharashtra, India · Open to remote opportunities worldwide
  • 📫 Reach me: anamaleena0@gmail.com

🛠️ Tech Stack

Languages

Python SQL C++

ML & AI

Scikit-learn XGBoost TensorFlow PyTorch HuggingFace

Data Science

Pandas NumPy Matplotlib Seaborn

Cloud & Tools

Azure GCP Oracle FastAPI Jupyter GitHub

🔥 Featured Projects

🤖 AI Resume Screener — NLP + Scoring System

NLP-powered system that automatically screens and ranks resumes against any job description.

  • TF-IDF semantic similarity + 200+ skill taxonomy matching across 7 domains
  • 5-dimension weighted scoring engine · Batch ranking of 50+ candidates
  • FastAPI REST API · Visual reports · Skill gap analysis
  • Python scikit-learn FastAPI NLP TF-IDF

📉 Customer Churn Prediction — End-to-End ML Pipeline

Production-grade ML pipeline that predicts which customers are about to leave — before they do.

  • Trained & compared 4 models: Logistic Regression, Random Forest, Gradient Boosting, XGBoost
  • XGBoost achieved ~0.91 ROC-AUC · 5-fold stratified cross-validation
  • Real-time inference function · Confusion matrix · Feature importance charts
  • Python XGBoost scikit-learn Pandas Matplotlib

💳 Online Payment Fraud Detection

Real-time fraud detection system deployed on Microsoft Azure as a live REST API.

  • Logistic Regression · Random Forest · XGBoost · Minimized false negatives
  • Full ML pipeline from raw data to Azure deployment
  • Python Azure XGBoost scikit-learn

📊 Sales Data Analysis & EDA

Exploratory data analysis on retail sales data with actionable business insights.

  • Data cleaning · Feature engineering · Visual storytelling
  • Python Pandas Matplotlib Seaborn

🏅 Certifications

Certification Issuer Year
OCI AI Foundations Associate Oracle 2025
OCI Data Science Professional Oracle 2025
Oracle AI Vector Search Professional Oracle 2025
5-Day AI Agents Intensive Google / Kaggle 2025
Intro to Large Language Models Google Cloud 2025
AI Concepts for Developers Microsoft Learn 2026
Microsoft Copilot Studio Agent Builder Microsoft Learn 2026
Microsoft Data Analytics Microsoft Learn 2026
McKinsey Forward Program McKinsey.org 2025
BCG X: Data for Decision Makers BCG X / Forage 2025

📈 GitHub Stats

🤝 Let's Connect

LinkedIn GitHub Email

"The best way to learn machine learning is to build things that matter."

Pinned Loading

  1. ai-resume-screener ai-resume-screener Public

    NLP-powered resume screener — TF-IDF similarity, 200+ skill taxonomy, weighted scoring, FastAPI REST API, batch ranking"

    Python

  2. customer-churn-prediction customer-churn-prediction Public

    end-to-end ML pipeline for customer churn prediction — XGBoost, Random Forest, 5-fold CV, feature importance, real-time inference"

    Jupyter Notebook

  3. tensorflow-mnist-classifier tensorflow-mnist-classifier Public

    "CNN image classifier with TensorFlow/Keras — ~99.4% accuracy on MNIST, data augmentation, FastAPI REST API, full evaluation suite"

    Python