Intro

"Dreaming is very pleasant as long as you're not forced to put your dreams into practice." - Paulo Coelho

A software developer by profession, and a sports enthusiast at heart, I strive to achieve my dreams with everything I've got. Born into The millenium city, Cuttack, I completed my schooling in ICSE and then joined the prestigious Ravenshaw College for my higher secondary education.

Along the way, I picked up a variety of habits like debating, football, cricket, basketball, travelling, gaming, that I still pursue. Although nowhere near professional, I still like to do some video editing with the games I play. I try to add color to my world by listening to music and watching various series and anime.

I have been fortunate enough to be able to participate in a lot of debates and creative writing competitions. Being declared the Literary Champion in my 12th in front of the whole college was really a dream come true moment for me.

Thank you for checking out my portfolio. If you have anything for me, always glad to hear. Contact me.

Experience

My Resume - Data Science     Web Development

  • SDE Intern

    07 Feb, 2022 - 20 May, 2022

    • Created an end to end application for Anomaly Detection in Event Logs.
    • Leveraged Angular for FrontEnd, Springboot for backend and Python to accomplish Anomaly Detection.
    • Learned about and contributed to Production Releases.

  • Web Developer Intern

    23 Aug, 2021 - 03 Feb, 2022

    • Worked on materialising designs and wireframes with ReactJS.
    • Designed NodeJS backend to interact with database and ReactJS frontend.
    • Did integration testing and deployments for the created web applications.

  • Data Analysis

    03 Sep, 2021 - 08 Oct, 2021

    • Worked on creating a plug and play tool to analyze Stock market data to find patterns for support and resistance.
    • Worked on various technologies like Microsoft SQL Server, timeseries models and Google Colab.

  • SDE Intern

    07 Jun, 2021 - 31 Jul, 2021

    • Worked on testing AngularJS to improve code quality.
    • Worked with an external team to analyse data to find meaningful patterns
    • Created components for data ingestion, preprocessing and making API calls.
    • Came across fascinating technologies like ElasticSearch, Kibana, Apache Kafka, Spark, Angular, Jasmine, Karma.

  • Cybersecurity Instructor

    Jan 2020

    • Campaigned for spreading awareness about cybersecurity. Visited various schools and colleges.
    • Demonstrated ways to stay safe online.

  • Volunteer

    Jul, 2020 - Dec, 2020

    • Interacted with batchmates and juniors to work on ML/AI.

Projects

Web Development

  • Process Lineage Capture Tool

    Plug and play tool designed to take logs as input and display a graph with color codes for each node. Front-end created with ReactJS and backend with NodeJS.

  • GGWP-Games

    An app created with JWT authentication for login and signup linked with mongoDB. Front-end created with EJS templating with NodeJS backend.

  • Hashira-blog

    A blog of Hashiras from Demon Slayer made with ReactJS to run and fetch data from a json server.

  • MHA-Heroes

    A blog of heroes from My Hero Academia built on nodeJS. Front-end created with EJS templating with NodeJS backend.

  • Angels-and-Demons

    A site made with NextJS to list the characters I've encountered so far while reading the novel Angels & Demons from Dan Brown.

  • Zennin-Notes

    A Notes app created with ReactJS and Material-UI while fetching data from a JSON server.

  • OTP-service

    An HTML website built with NodeJS backend to verify email id with OTP using mongoDB.

  • HTML-Tutorial-Website

    This is an HTML turorial website built with HTML5 and CSS3 without using any framework.

Data Science

  • Log Rate Analysis

    Making timeSeries predictions using auto regression models and storing results in mongoDB.

  • Process Lineage Capture Tool

    Plug and play tool to visualize the entire process from logs and identify bottlenecks and possible failures using neural networks.

  • Leaf Disease Detection

    Image processing to find leaves with diseases using Convolutional Neural Networks. Datasets from a AI Blitz 1 in AI Crowd.

  • Big Mart Sales Prediction

    Prediction of Sales for Big Mart using Machine Learning. Datasets taken from Kaggle.

  • Gold Prices Prediction

    Prediction of Closing Prices of Gold using Machine Learning. Datasets taken from yahoo.

  • Stock Prices Prediction

    Predicting the possibility of a Support point or Resistance point using various features of stock data by applying Machine Learning.

  • Wine Quality Classification

    Red Wine and White Wine Quality classification using Machine Learning.

  • Iris Flower Classification

    Classification of species of Iris Flowers using Machine Learning and showing Classifier Comparison.

Certificates

  1. Applied Data Science with Python Specialization - University of Michigan, Coursera

  2. Deep Learning Specialization - DeepLearning.AI, Coursera

  3. TensorFlow Developer Specialization - DeepLearning.AI, Coursera

  4. Web Application Technologies and Django - University of Michigan, Coursera

  5. Building Web Applications in PHP - University of Michigan, Coursera

  6. Improving Deep Neural Networks - DeepLearning.AI, Coursera

  7. Neural Networks and Deep Learning - DeepLearning.AI, Coursera

  8. Applied Machine Learning in Python - University of Michigan, Coursera

  9. Applied Text Mining in Python - University of Michigan, Coursera

  10. Convolutional Neural Networks in TensorFlow - DeepLearning.AI, Coursera

  11. HTML, CSS, and Javascript for Web Developers - Johns Hopkins University, Coursera

  12. Applied Social Network Analysis in Python - University of Michigan, Coursera

  13. Algorithmic Toolbox - UC San Diego, Coursera

  14. Natural Language Processing in TensorFlow - DeepLearning.AI, Coursera

  15. Front-End Web UI Frameworks and Tools: Bootstrap 4 - The Hong Kong University of Science and Technology, Coursera

  16. Sequences, Time Series and Prediction - DeepLearning.AI, Coursera

  17. Introduction to Structured Query Language (SQL) - University of Michigan, Coursera

  18. Applied Plotting, Charting & Data Representation in Python - University of Michigan, Coursera

  19. Browser-based Models with TensorFlow.js - DeepLearning.AI, Coursera

  20. Natural Language Processing with Classification and Vector Spaces - DeepLearning.AI, Coursera

  21. Sequence Models - DeepLearning.AI, Coursera

  22. Structuring Machine Learning Projects - DeepLearning.AI, Coursera

  23. Building Database Applications in PHP - University of Michigan, Coursera

  24. Convolutional Neural Networks - DeepLearning.AI, Coursera

  25. Introduction to Data Science in Python - University of Michigan, Coursera

  26. Support Vector Machines with scikit-learn - Coursera Project Work

  27. Javascript - Sololearn