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Anusha-me/README.md

Hi 👋, I'm Anusha Durgam

AI/ML Developer · Data Analyst · Deep Learning Enthusiast

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🧠 About Me

I’m Anusha Durgam, a passionate AI/ML Developer and Data Analyst specializing in transforming data into actionable insights and intelligent systems.

  • 🎓 Master's in Data Intelligence, University of South Florida (2025)
  • 🧪 Skilled in deep learning (ANN, CNN, LSTM), forecasting, NLP, and computer vision
  • 🛠️ Tools: Python, SQL, Power BI, GCP, AWS, Scikit-learn, TensorFlow, PyTorch
  • 🚀 Researcher | Builder | Explorer | Innovator

📌 Highlight Projects

  • 🔮 Bitcoin Price Prediction with ANN-LSTM hybrid forecasting
  • 🛡️ Credit Card Fraud Detection using SHAP explainability
  • 📊 Customer Churn & IMDB Dashboards (Power BI)

🏆 Achievements

  • 📃 Presented at USF Graduate Research Symposium 2025
  • 📚 Published work in ML forecasting and accessibility NLP
  • 🧠 Trained multiple ML models across structured & unstructured data
  • 🌎 Projects used in healthcare, retail, and finance domains

🛠️ Tech Stack

🤖 AI/ML Frameworks

PyTorch TensorFlow Scikit-learn Keras

🧠 Data Science & Analysis

Pandas NumPy Matplotlib Seaborn Plotly Statsmodels

📊 Data Analytics & Visualization

Power BI Tableau Excel Google Sheets

📐 Statistics & Math

SciPy R

🚚 Supply Chain & Optimization

PuLP OR-Tools SimPy

💻 Programming Languages

Python SQL R JavaScript

☁️ Cloud & DevOps Tools

AWS GCP Git GitHub Jupyter Google Colab

🚀 Deployment & Pipelines

Streamlit Flask Airflow Docker

🔗 Let’s Connect

💡 Turning data into decisions, and models into momentum 💡

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  1. Bitcoin_dual-perspective_forecasting Bitcoin_dual-perspective_forecasting Public

    Forecasting Bitcoin prices (2017–2024) using LSTM under a stock perspective. Real-time price comparison, hyperparameter tuning, and outlier handling included.

    Jupyter Notebook 1

  2. Customer_churn_analysis Customer_churn_analysis Public

    Predict and analyze telecom customer churn using machine learning techniques and business dashboards. This end-to-end project includes data preprocessing, EDA, model evaluation (SVM, XGBoost), real…

    Jupyter Notebook

  3. Disease-x-Detection-ML-project Disease-x-Detection-ML-project Public

    A machine learning classification system for early detection of Disease X based on patient symptoms using Python, Scikit-learn, and Streamlit.

    Jupyter Notebook 1

  4. IMDB-Movie-Analysis-with-PowerBI IMDB-Movie-Analysis-with-PowerBI Public

    Exploratory data analysis of IMDB movies dataset with Python, followed by an interactive Power BI dashboard showcasing movie trends, revenue patterns, and popularity insights.

    Jupyter Notebook

  5. Mnist-digit-classification-cnn Mnist-digit-classification-cnn Public

    Handwritten digit recognition using a LeNet-style CNN trained on the MNIST dataset.

    Jupyter Notebook 1

  6. mountaincar_v0-reinforcement-learning mountaincar_v0-reinforcement-learning Public

    Reinforcement learning solution for the Mountain Car problem using value iteration, policy iteration, and Q-learning in OpenAI Gym.

    Jupyter Notebook 1