Machine Learning Engineer
A highly motivated and analytical mathematics Master's graduate from NIT Silchar, I possess a strong foundation in mathematical principles and a keen interest in their practical applications. My academic journey has cultivated a rigorous problem-solving approach and a deep understanding of complex systems. I am eager to transition my skills into a career as a Data Scientist/Machine Learning Engineer, where I can leverage my mathematical expertise to develop innovative solutions and drive data-driven insights.
About Me
Hi, I'm a passionate Data Scientist & ML Engineer
I specialize in developing machine learning solutions, extracting insights from complex datasets, and building predictive models that drive business decisions. My strong mathematical foundation allows me to approach problems analytically and create robust, scalable solutions.
When I'm not analyzing data, you'll find me exploring new ML frameworks, working on personal projects, or staying updated with the latest research in artificial intelligence and data science.
Featured Projects
Student Performance Predictor
This project predicts students' math scores using demographic and academic factors such as gender, race or ethnicity, parental level of education, lunch type, test preparation course completion, and scores in writing and reading (both out of 100). By applying machine learning techniques, the model aims to identify patterns and provide insights that contribute to understanding and improving students' academic performance.
Movie Recommender System
The Movie Recommender System is a machine learning project that provides personalized movie recommendations based on user preferences and historical data. This project utilizes collaborative filtering and content-based filtering techniques to suggest movies that users are likely to enjoy. By implementing this system, I aimed to enhance user experience and engagement in movie selection.
Calories Burn Prediction
This project aims to predict the number of calories burned based on various factors such as Gender, Age, Weight, Height, Workout Duration, Heart Rate and Body Temperature. By leveraging machine learning techniques, it seeks to provide accurate and insightful calorie estimations, which can help users in managing fitness and health goals effectively.
AI-Powered Hiring Assistant Chatbot
- Built AI chatbot using LLMs to automate recruitment Q&A.
- Deployed solution via AWS ECS using Docker containers.
- Integrated APIs and documented architecture.
Hateful Text Detector
Developed a web-based ML app using Flask and TensorFlow to classify text for hate speech detection. Integrated model prediction with a clean UI and deployed locally for testing. Utilized Pandas for data handling and built a responsive interface with HTML/CSS.
Certificates & Achievements
Machine Learning
Successfully earned after completing the three-course Machine Learning Specialization on Coursera, taught by Andrew Ng. The courses included:
- Supervised Machine Learning (Regression and Classification)
- Advanced Learning Algorithms
- Unsupervised Learning, Recommenders, Reinforcement Learning
Databases and SQL for Data Science with Python
Earned upon completing the Coursera course, this program focuses on foundational skills in databases and SQL, essential for data science. It covers key topics such as creating and managing databases, querying data using SQL, and integrating Python for advanced data analysis. The course emphasizes practical, hands-on experience, enabling learners to handle real-world data problems effectively.
NLP with Classification and Vector Spaces
Successfully earned through Coursera, this course dives deep into the fundamentals of natural language processing (NLP). It covers essential topics such as text classification, feature extraction with vector spaces, and practical techniques for analyzing and processing textual data. Through hands-on projects, learners gain valuable skills to apply NLP methods in real-world scenarios using innovative tools and approaches.
100 Days of Code : The Complete Python Pro Bootcamp
Successfully completed the comprehensive 100 Days of Code Python Pro Bootcamp by Angela Yu on Udemy. This intensive program provides hands-on experience across the full spectrum of Python development, from fundamental programming concepts to advanced web development and data science applications. The course emphasizes practical project-based learning, covering web scraping, API integration, GUI development, and automation, preparing students for real-world Python development challenges.
The Data Science Course: Complete Data Science Bootcamp
Successfully completed this comprehensive Data Science Bootcamp on Udemy, covering the complete spectrum of data science from mathematical foundations to advanced machine learning implementations. The program provides extensive training in statistical analysis, Python programming with essential libraries, and machine learning algorithms. This intensive bootcamp emphasizes practical, hands-on experience with real-world data problems, preparing students for professional data science work.
Introduction to Statistics
Successfully completed Stanford University's Introduction to Statistics course on Coursera, focusing on fundamental statistical thinking concepts essential for learning from data and communicating meaningful insights. The program covers comprehensive exploratory data analysis techniques, key principles of sampling methodology, and appropriate statistical methods for analyzing various data types. This rigorous academic course emphasizes practical application of statistical concepts through real-world examples, enabling effective data interpretation, hypothesis testing, and evidence-based decision making in professional and research scenarios.