8000 BalaElangovan (Balakrishnan (Bala) Elangovan) · GitHub
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Looking for a full time role.
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Looking for a full time role.
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BalaElangovan/README.md

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Hi, I'm Bala. Enthusiastic data professional with a strong Data Science and Analytics foundation, backed by a post-graduate degree. Proficient in Python, SQL, MS Excel, Apache Airflow, Power BI, and Automation using Bash. Hands-on experience in Neural networks, Machine learning, data lake and data warehouse concepts. Skilled in Data Analytics, Data Engineering, and adept at building robust data pipelines. Engaged in data analytics and machine learning projects, while continuously self-learning about various cloud and big data technologies. I enjoy reading and writing blogs.

During my undergraduate years, I honed my skill in web application penetration through bug bounty programs, earning recognition on the Hall of Fame boards of prominent companies including BlackBerry, HealthifyMe, and 15+ companies.

I am actively seeking opportunities in the data science and analytics field where I can apply my skills and expertise. I am passionate about leveraging data to drive decision-making and uncover insights, and I am eager to contribute to a team that values innovative data solutions.

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  1. Forecasting-Medical-Insurance-Costs-Using-Machine-Learning Forecasting-Medical-Insurance-Costs-Using-Machine-Learning Public

    This project uses a Gradient Boosting Machine (GBM) model to predict medical insurance costs based on demographic and health features like age, BMI, smoking status, and region. By identifying key …

    Jupyter Notebook

  2. Enhancing-Credit-Card-Fraud-Detection-Models-using-Machine-Learning-and-PCA Enhancing-Credit-Card-Fraud-Detection-Models-using-Machine-Learning-and-PCA Public

    This project uses SMOTE for class balancing and PCA for dimensionality reduction to enhance fraud detection. It compares Logistic Regression, Random Forest, and Neural Networks, with Random Forest …

    Jupyter Notebook 1

  3. Enhancing-Churn-Prediction-for-the-Banking-Sector Enhancing-Churn-Prediction-for-the-Banking-Sector Public

    This project uses machine learning models like Random Forest, Logistic Regression, and XGBoost to predict customer churn in the banking sector. It identifies key churn factors and addresses class i…

    Jupyter Notebook

  4. AI-Based-Chatbot-for-Emotional-Support-in-Anxiety-and-Depression AI-Based-Chatbot-for-Emotional-Support-in-Anxiety-and-Depression Public

    This repository hosts an AI chatbot built using LSTM and GRU models to provide emotional support for individuals dealing with anxiety and depression. It leverages NLP techniques to understand user …

    Jupyter Notebook 2

  5. International-student_Chatbot International-student_Chatbot Public

    The "International-student_Chatbot" helps international students by providing information on academic and daily life needs. It utilizes NLP with spaCy and TensorFlow models to process queries and o…

    Jupyter Notebook

  6. Web-App-Security-Automation-Tool Web-App-Security-Automation-Tool Public

    This repository hosts a powerful web app security automation tool developed in Python and Bash scripting. The tool automates essential tasks in web application security testing and reconnaissance, …

    Shell

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