I am an aspiring Machine Learning Developer with a strong foundation in Python, ML libraries (NumPy, Pandas, Scikit-learn, Seaborn, Matplotlib), and Data Analysis. Passionate about solving real-world problems, I enjoy building innovative solutions through my technical expertise. With additional skills in Java, C++, JavaScript, and DSA, I also explore full-stack development to create impactful applications. My goal is to continuously learn, collaborate with like-minded professionals, and contribute to cutting-edge projects in AI/ML and beyond.
0 + Projects completed
Aspiring Machine Learning Engineer with a strong foundation in AI and data analytics. Skilled in developing machine learning models, deep learning, and front-end development. Passionate about leveraging AI to solve complex problems and enhance problem-solving skills.
Grade: First class distinction.
Grade: First class distinction.
Below are sample projects on Machine Learning, Data Analytics, SQL, and Data Visualization.
Developed a stock market prediction model using TensorFlow Keras with LSTM, Dense, and Dropout layers for accurate forecasting.
Built an ML model using Random Forest, Logistic Regression, and SVM to predict customer churn and enhance retention.
Developed an ML model using Random Forest, Logistic Regression, and SVM to predict disease risks, enabling faster and cost-effective healthcare decisions.
Conducted data analysis on e-commerce sales to identify trends, optimize profitability, and enhance customer targeting strategies.
Analyzed Netflix data to determine top-rated, average, and low-performing movies based on past viewer ratings and engagement trends.
Analyzed EPA data on U.S.A air pollution, revealing the Western U.S.A highlighting the need for targeted air quality improvements.
Below are the details to reach out to me!
Bhopal, India