I am a machine learning enthusiast who loves to solve challenging business problems by applying Machine Learning techniques.
My interests are in Machine Learning, Natural Language Processing using Deep Learning and autonomous vehicle technologies.
I am looking for opportunities in Machine Learning/Deep Learning technologies.
Coursework : Machine Learning, Database Design, Statistical Methods for Data Science, Web Programming Languages, Design & Analysis of Algorithm, Software Project Planning & Management, Artificial Intelligence, Big Data
Activities : Member of Association of Computing Machinery and Centre for Computer Science Education and Outreach, UTD.
Coursework : Data Structures & Algorithms, Operating Systems, Databases, Distributed computing, Software Engineering
Activities : President of Artificial Intelligence Club.
• Developed Morris Variant D, a variant of Nine Men Morris game in Python.
• Optimized the static estimation function to predict the best next move from the game tree up to n levels deeps.
• Pruned the game tree by Alpha-Beta pruning to reduce the game time by reducing the positions evaluated.
• Developed a predictive model to predict the winner of the soccer match in Spain LIGA BBVA.
• Performed data cleansing, identified the correlation between attributes and compared the accuracy achieved by classifiers such as Support Vector Machines(SVM), Naïve Bayes, Logistic Regression and K-Nearest neighbors.
• Achieved a prediction accuracy rate of 62.5%.
• Implemented Naive Bayes algorithm and Logistic Regression algorithm to classify the emails as ham or spam.
• Improved the accuracy by eliminating stop words. Accuracy: 95.18%
• Used K-means Clustering technique to compress images and compared the compression rates for different values of K.
• Built a MySQL based application designed from the perspective of a librarian.
• Implemented features: Borrower Management, Book Search & Availability, Book Loans and Fine Management.
• Created an online auction and shopping website where people and businesses buy and sell a broad variety of goods and services
• Created rudimentary database engine that is loosely based on a hybrid between MySQL and SQLite called DavisBase.
• Implemented a file-per-table approach to physical storage and each table file will be subdivided into logical sections of fixed equal size call pages (512 bytes).
• Developed a location based mobile application to effectively monitor the clearance of waste bins.
• Extended the functionality to monitor other projects carried out by Chennai Corporation.
• Built a tool for accessing Operational document and knowledgebase articles on the intranet.
Classification, Regression, Clustering, Neural Networks, Game Trees, Deep Learning, NLP
C++, Python, Java, SQL, HTML, CSS, JavaScript
NumPy, Pandas, Matplotlib, SciPy, Scikit-Learn, TensorFlow, Jupyter Notebook, Eclipse, Spyder, Version Control(Git)
MySQL, Microsoft SQL Serrver, MongoDB(NoSQL)
Ubuntu(Linux), Microft Windows, MacOS, Android