Projects
Being a data science undergraduate, I'm enthusiastic about delving into the boundless potential of data. I hold the conviction that data possesses the ability to revolutionize our world, and I'm dedicated to leveraging my expertise to create an impact. This portfolio displays a collection of my projects, illustrating how I've utilized data to uncover valuable insights and provide impactful solutions.
Project 01:
Fake News Detection
Analysis using Logistic
Regression
Role: Data Scientist
Employed logistic regression to discern fake news, involving preprocessing, accuracy evaluation, and Seaborn scatter plots for TF-IDF insights and feature understanding. Leveraged Python, Pandas, Scikit-learn, and Seaborn to conduct this in-depth analysis, showcasing technical prowess and data-driven decision-making.
Project 02:
Face Recognition
Classification
Role: Data Analyst & Data Scientist
Developed a comprehensive project using Classification models to detect faces in images using OpenCV. Utilized GridSearchCV for hyperparameter optimization, enhancing model performance. Executed end-to-end implementation, encompassing data preprocessing, model training, tuning, and evaluation. Demonstrated proficiency in Python, OpenCV, and machine learning techniques, highlighting a strong foundation in computer vision.
Project 03:
Bangalore Home
Prices
Role: Machine Learning Engineer
Crafted a real estate price prediction project integrating scikit-learn, Pandas, and Numpy for model creation. Employed hyperparameter tuning with GridSearchCV for optimal performance. Designed a Flask server for predictions and built a user-centric website, showcasing proficiency in data science, machine learning, and web development.
