As a Skilled and passionate machine learning expert with a strong background in computer software engineering. Recent graduate experienced in data preprocessing, data visualization, classical machine learning, deep learning, computer vision, NLP, and model deployment. Has a deep understanding of theoretical concepts and a keen eye for performance optimization and code efficiency, providing innovative and effective solutions for complex challenges.

• Programming Languages (Python,Java Script, C, C++)
• Machine Learning Algoriths (Linear Regression, Logistic Regression, Naive Bayes, SVM, Decission Tree, Random Forest and all Ensimble techniques etc.)
• statistics and Probability (Probability theory, hypothesis testing, inference)
• Data Preprocessing (Cleaning, Feature Scalling, normalization etc.)
• Model Evaluation and Selection (Cross-validation, performance metrices, model selection)
• Feature Engineering (Feature selection, extraction and transformation)
• Data visualization (Maplotlib, Seaborn, Plotly)
• Deep Learning (ANN, CNN, RNN)
• Model Deployment using Flask, and FastAPI
• Full Stack Web Development (HTML, CSS, JS, Reactjs, Flask, FastAPI, Microservices concept, docker)
• Version Control: Git/Github
• Web Scrapping (BeatuifulSoup4)
• Database Design, MYSQL, PostgreSQL
• OOP Concepts
• Data Structure and Algorithms
• Problem Solving (Analytical, Data-driven approaches )
• Collaborative Skills(Teamwork, Communication, Presentation)