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rameshs-data/README.md

Hi 👋, I'm Ramesh Suragam

I am a highly motivated and experienced data scientist & NLP Specialist with a passion for technology. My expertise includes Enhancing Customer Journeys, Optimizing Processes and Addressing Fraud.

💬 Ask me about:

  • Python
  • Machine Learning
  • NLP

📫 How to reach me:

Connect with me:

Languages and Tools:

  • Python
  • TensorFlow
  • Linux
  • Git
  • Java

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  1. GenAI_Text_Classification_Evaluation GenAI_Text_Classification_Evaluation Public

    Evaluates a binary text classification notebook where GenAI misclassified labels. Demonstrating understanding of precision and recall allows for effective problem-solving and proposes threshold adj…

    Jupyter Notebook 1

  2. AmazonReview_UsefulnessRanker AmazonReview_UsefulnessRanker Public

    Predicts review helpfulness using the Amazon Book Reviews Dataset from 2003-2005, featuring NLP techniques and optimized memory usage.

    Jupyter Notebook 1

  3. Citation_Network_Recommendation Citation_Network_Recommendation Public

    This project develops a recommendation system by analyzing citation networks with GraphX on Apache Spark. It constructs a publication graph from citation data to enhance literature search and resea…

    Scala 2

  4. Customer_Upgrade_Prediction Customer_Upgrade_Prediction Public

    Predicts customer upgrade likelihood using logistic regression, random forest, and XGBoost. Features NLP techniques and memory optimization.

    Jupyter Notebook 1

  5. Customer_Ratings_Prediction Customer_Ratings_Prediction Public

    Predicts customer ratings on a scale of 1 to 5 using review and summary data. Employs XGBoost and LSTM models, showcasing data exploration, cleaning, and NLP feature engineering for accurate multi-…

    Jupyter Notebook

  6. Defaulter_Predictor_Fastapi_Flask Defaulter_Predictor_Fastapi_Flask Public

    Builds and deploys a machine learning model for predicting defaulters using FastAPI and Flask. Includes components for model training, deployment configurations, and API access for both local and p…

    Jupyter Notebook