About
Highly motivated and results-driven AI/ML student with a strong foundation in machine learning, deep learning, and full-stack development. Proven ability to design, develop, and deploy high-accuracy predictive models and interactive solutions, as demonstrated by projects achieving up to 95% stakeholder satisfaction and 90% model accuracy. Eager to leverage expertise in Python, TensorFlow, PyTorch, and cloud platforms to contribute to innovative ML engineering or data science roles.
Skills
Programming Languages
C, C++, Python, JavaScript, HTML, CSS.
Frameworks & Libraries
React, Node, Express, Flask, OpenCV, Scikit-learn, NumPy, Pandas, Tensorflow, PyTorch, Transformers.
Development Tools
Machine Learning, Artificial Intelligence, MongoDB, SQL, Git, FAST APIs, Streamlit, MediaPipe.
Data Science & Analytics
Data Preprocessing, Feature Engineering, Model Evaluation, Classification Techniques, Hyperparameter Tuning, EDA (Exploratory Data Analysis).
Machine Learning Models
K-Nearest Neighbors (KNN), Random Forest, Decision Tree, Logistic Regression, Support Vector Machine (SVM), Transformer Models, Gesture Recognition Models.