Web Development

MEAN Stack, MERN Stack, Python & Flask

Data Analytics

Python, R, Tableau, Power BI, SAS

Artificial Intelligence and Machine Learning

Tensorflow, Keras, Pytorch, Image Processing, Natural Language Processing

Blockchain Development

Etherium, Multichain, Azure Blockchain, Bitcoin



  • 2021 (Probable)
  • 2020
  • 2020
  • 2020
  • 2020
  • 2020
  • 2020
  • 2019
  • 2019
  • 2018
  • GET, Barclays UK, 2021- Present

    Graduate Engineering Trainee at Barclays starting from June 21.

  • Full Stack Intern, Gaius Networks, Chennai, 07/2020-10/2020

    Assembled production level solutions for the platform which served as a means to connect hyperlocal communities together; formed 10k active user base for the platform. Built highly-reliable and scalable products in full-stack; leveraged full advantage of its features and flexibility.

  • Head React Developer, Dataly, Chennai, 05/2020-10/2020

    Designed complex and diverse projects including full scale apps and websites and provisions Analytics and AI solutions to companies. Participated in the execution of all development stages from concept, to deployment, to live website.

  • Game Development Intern, RedFox Labs, Vietnam, 03/2020-06/2020

    Performed scraping of relevant data regarding blockchain based games and helped them take data driven decisions. Created and maintained reliable, scalable, and high-performance systems and tools to enable best gameplay experiences.

  • Blockchain Researcher, SRM Research Labs, SRMIST, Chennai, 03/2020-08/2020

    Conducted extensive research on some of the critical issues in building high performance blockchain platforms. Worked closely with the team to research, develop and test blockchain applications to enable efficient distributed system management solution.

  • Data Science Intern, RedFox Labs, Vietnam, 01/2020-06/2020

    Led research in the advanced areas of artificial intelligence, data mining, machine learning, and deep learning. Experimented with machine learning algorithms to solve critical business problems and identify risk, fraud or natural language processing.

  • Machine Learning Researcher, SRM Research Labs, SRMIST, Chennai, 01/2020-08/2020

    Designed and developed robust and efficient machine-learning and deep-learning algorithms. Implemented machine learning methods drawn from diverse areas such as neural networks, deep learning, NLP and approximate inference.

  • Full Stack Intern, Ovonts, Kolkata, 11/2019-01/2020

    Delivered working and well-structured JavaScript code, including an API and modules like a UI framework, document object model, etc. Managed individual / team project priorities, deadlines and deliverables in an agile work environment.

  • Data Science Intern, Kaashiv Infotech, Chennai, 06/2019-07/2019

    Identified and collated datasets while creating and applying advanced data analytics models using statistical and machine learning techniques. Assisted and directed the team in day-to-day jobs and projects.

  • Machine Learning Trainee, MyWbut, Kolkata, 12/2018-01/2019

    Utilized big data analytics tools and applied analytical techniques for data retrieval, preparation, and discovery. Worked with massive datasets to develop both generic models as well as fine tune models.


MY Projects

Artificial Intelligence

  • Video Caption Generator
  • Twitter Sentiment Analysis
  • Resume Parser and Auditor
  • Garbage segregator and Collector
  • Drowsiness Detector
  • Keras GAN
  • Transfer Learning
  • Recommendation System using Boltzmann Machine and Stacked Autoencoder
  • Object Detection with YOLO and SSD

Full Stack Development

  • LoadAB Market Place for Raw Materials
  • Find ur Fix (Mentor Mentee app)
  • Resume Auditor
  • Suraksha Covid 19
  • Dataly Landing Page
  • Info-G App by Gaius and Flipped
  • McZone Landing Page
  • StatsBureau with RedFox Labs
  • Ovonts Admin Panel

Data Science Full Course Bundle by Data Science 365

  • Customer Turnover Clustering
  • Myntra Customer Segregation
  • Suraksha Covid 19
  • Covid Dashboard with Tableau
  • P&L Sheet with Power BI
  • Stock Market Prediction with LSTM
  • EDA on IPL Data
  • EDA on Denver Crime Data
  • Analysing Backend Log Files and API Pathways to analysing user browsing Behaviour
  • Diabetic Retinopathy

Courses and Books

MY Courses and Books which Helped me in my Career


Taking the five courses is very instructive. The content is well structured and good to follow for everyone with at least a bit of an understanding on matrix algebra. Some experience in writing Python code is a requirement. The programming assignments are well designed in general. Apart of their instructive character, it’s mostly enjoyable to work on them, too. Finally, in my opinion, doing this specialization is a fantastic way to get you started on the various topics in Deep Learning. After taking the courses, you should know in which field of Deep Learning you wanna specialize further on

DS and ALGO Made Easy by Narsimha Karumanchi

Data Structure And Algorithmic Puzzles” is a book that offers solutions to complex data structures and algorithms. There are multiple solutions for each problem and the book is coded in C/C++, it comes handy as an interview and exam guide for computer scientists

Data Science Full Course Bundle by Data Science 365

365 Data Science is a self-paced, online Data Science bootcamp. The flexible course schedule means there is no set time limit in which to complete the program by. The bootcamp is divided into four modules that cover data science fundamentals, programming, data science concepts, and specializations.

Web Developement Bootcamp and Flutter Bootcamp by Angela YU

I love her way of presenting and I love the humor that is hidden in many of her videos and takeaways. It just makes it fun! There is a lot of creative videos inside. Angela has a really good way of teaching each lesson clearly. I love her teaching style, she adds just enough of humor to make it fun.

Data Structures and Algo Self Paced by Geeks For Geeks

This course is a complete package that helps you learn Data Structures and Algorithms from basic to an advanced level. The course curriculum has been divided into 10 weeks where you can practice questions & attempt the assessment tests according to your own pace. The course offers you a wealth of programming challenges that will help you to prepare for interviews with top-notch companies like Microsoft, Amazon, Adobe etc.