I am a prefinal year student pursuing B.E Electrical and Electronics Engineering at Birla Institute of Technology and Science, Pilani, India. I am interested in the ML/AI domain and have a portfolio consisting of a few ML projects and numerous open-source contributions in web based apps. I have previously worked as a student developer in GSoC 2019 and interned at IGCAR Kalpakkam in 2018.

Profile: LinkedIn Github

Developed and deployed a web portal on Linux Mail Server to automate E-Mail account management services like password changing, creation and deletion of accounts, password expiry information, server monitoring for load balancing.

Skills- Javascript, PHP, HTML, CSS, AWK, Linux, Basic Networking(TELNET)

pH predictor system which uses a smartphone camera to predict the pH value of a solution. This was a Lab Oriented Project which was a part of my coursework. I studied various ML algorithms and developed a model which provided 75% accuracy using Random Forest Classifier and MSE of just 0.51.
I saved the model using Python Pickle and developed a smartphone web app using VueJS and a Flask based REST API to fetch and post real-time data.
You can find the repository here.

Developed an SMS spam classifier using NLTK for message processing and Pandas for classification. Used TF-IDF & additive smoothing to achieve 89% accuracy.

Analysed & visualised last 5-year data of TCS stock using Pandas and Matplotlib and applying supervised ML models using Scikit-Learn including Logistic Regression, KNN, Random Forest and SVM to predict the future value of TCS stock.

Contributed regualarly in phpMyAdmin tool, which is a popular free and open source administration tool for MySQL and MariaDB. Worked on fixing bugs, feature development and opened more than 40 pull requests.