Satya Swarup Srichandan

Master of Computer Applications at Banaras Hindu University, Varanasi

Resume | Email | Github | LinkedIn | Google Scholar | ReserchGate | LeetCode | HackerRank

Publications | Projects | Accomplishments | mailto: satyaswarup98@gmail.com | Github | LinkedIn | Google Scholar | ReserchGate | LeetCode | HackerRank

Satya Swarup Srichandan

Master of Computer Applications at Banaras Hindu University, Varanasi
Resume

AI and Machine Learning expert working at India Health Action Trust for public health development. Master of Computer Applications at Banaras Hindu University, Varanasi, India. Also have profound programming skills in Python, Java and various other programming languages with over 4+ years of Research experience on Machine Learning, Deep Learning, Information Retrieval and Text Analytics.

Skills

Programming : Python, Java, C++, C#, R, Swift, Ruby, .NET, HTML, CSS, PHP, Bootstrap, React, xml, JSON, Ajax, jQuery

Databases: SQL, Access, Firebase

Other Software: MS Office, Visual Studio, Android Studio, XCode, Procreate

Communication Languages: English, Hindi, Odia

Projects

AI based app for Cataract detection
Machine learning classification model used for detection of cataract in patient’s eye. Image labeling and cohort classification algorithms used. The same algorithm then translates into mobile application for easy access of field health workers which will help identify cataract in large scale.

Tuberculosis identification from Chest X-Ray
Image processing algorithms are used to identify TB and 16 other lung diseases from Chest X-Ray of a person. This neural network based application will help drastically reduce the costly TB screening methods and can identify TB early and accurately.

Child Mortality prediction
Machine learning prediction model comprised of real-time health data to predict and minimize child mortality in India. Classification model uses various factors of health data of pregnant women to early predict the weight and chances of any disease.

Missive (Student - Alumni Social Network Platform)
Missive is a social media platform for university Student and Alumnus. Designed to share educational experience and materials with one another inside the platform, with inbuilt real time personal and group messaging, event and post shearing, public query and answer posting features.

Audio Guide
Android application built for doctor and patients to share prescription and audio conversation within the app with QR code. Data are uploaded to remote server using Firebase and can be downloaded to local at any point of time. App offers features to Lists all the appointments with doctor, In app QR generation and scanning, voice recording and modern UI design.

Quiz
Desktop and mobile application for online quiz and examinations. Multi user support with automated marks and grade calculation with In app progress tracker and leader board menu in the quiz part. VB.NET is used in desktop application and real time multi node server connection is used for secure data transactions.

Publications

Accomplishments

• Awarded 1st rank in Annual Coding Contest in Dept. of Computer Science, Banaras Hindu University.
• Qualified in GATE (Graduate Aptitude Test in Engineering) 2021.
• Qualified in NET (National Eligibility Test) 2021.
• 6 star ranking in problem solving on HackerRank online coding website.
• Published Research papers on Open Access in top Scientometrics journals including Springer and Current Science.
• Successfully organized 'Sanganan-19' and 'Infinity-1.0', official coding competitions in computer science, BHU.