About Me
I'm an aspiring data scientist with expertise in Machine Learning, Deep learning, Computer Vision and Data Analytics. I have skills in Python, C, Sklearn, Pandas, NumPy, TensorFlow, SQL, and Git.
Welcome to my personal portfolio website. Explore my projects, skills, and get in touch with me.
I'm an aspiring data scientist with expertise in Machine Learning, Deep learning, Computer Vision and Data Analytics. I have skills in Python, C, Sklearn, Pandas, NumPy, TensorFlow, SQL, and Git.
Proficient in Python, C, and various libraries such as Sklearn, Pandas, NumPy, and TensorFlow. Experienced in machine learning, deep learning, CNN, RNN, LSTM, and data analytics.
Currently pursuing a degree in Data Science at IIT Palakkad, with a focus on advanced machine learning and artificial intelligence techniques.
Explore some of my key projects below.
Enhanced face recognition systems to handle occlusion and orientation variations using the Brazilian face dataset. Leveraged MTCNN for face detection and VGG-face for recognition. Integrated controlled occlusions and diverse data to improve accuracy.
Analyzed IPL cricket matches data spanning 2008 to 2022 using Python’s NumPy, Pandas, and Streamlit for robust data processing, statistical analysis, and interactive visualization. Integrated PostgreSQL for efficient data storage and retrieval.
Created a credit card default prediction model under Dr. Narayanan C Krishnan’s mentorship. Employed exploratory data analysis and SMOTE technique to address class imbalance, achieving 80% accuracy on the test set.