A highly motivated Data Science Engineer with a strong background in machine learning, statistical analysis, and programming. Seeking a challenging role where technical skills can be leveraged to drive data-driven solutions and contribute to the development of innovative projects. Analytical Machine Learning Engineer offering progressive career in the field. Exceptional problem-solving abilities both in team-oriented and self-motivated settings. Dedicated to delivering product excellence and exceeding customer expectations.
Optimal IPL Match Bidding App Performance and User Engagement, DBMS, MySQL, 10/23,
Optimizing the IPL Match Bidding App. Conducted a meticulous analysis of IPL game data, aiming to extract valuable & actionable insights that can be leveraged to enhance user engagement, and elevate the overall user experience & satisfaction.
Predictive Analytics for Telecom Industry Churn Prediction, Classification, 03/24,
Python, Scikit-Learn, Matplotlib, Seaborn, Statistical Analysis, SMOTE, Machine Learning Algorithms for Classification, Streamlit, The primary goal of this project is to accurately predict which users are likely to churn based on the provided dataset. Conducted thorough cleaning and preprocessing of the dataset to ensure data quality and relevance. Addressed missing values, handled outliers, and performed feature engineering to enhance the dataset's predictive power. Developed multiple classification models, evaluated models using appropriate metrics, and developed a streamlit application to provide a user-friendly interface for accessing the model and making predictions.