As a senior software engineer, I have gained extensive experience in developing and maintaining various software projects web applications using Spring Boot, Java, React to Machine Learning applications . My portfolio on GitHub showcases my skills and expertise in different areas of software engineering. These are my available Public projects
- Full Stack development: Experience in building responsive and user-friendly web applications, APIs using Spring Boot, Java, React, Postgres, Mongo etc
- Scripts: Experience in building scripts to help in migration, API integration, APIs etc.
- Back-end Development: Experience in building, integrating, APIs, endpoints, Security using JWT, implementation of Actuators etc.
- Database development: Building databses from scratch with triggers, scripts, JOOQ and setting up database pipilines
- Analysis-recommendation : These are Machine Learning projects that majorly focus on Analysis of Data and Recommendations
- GoodLifeFitness - Analysis of Data to handle Crowd Control at a gymnasium, Predicting is a person is likely to attend a group gym session based on historical attendance records, and recommendatons based on the results
- Loblaws-analysis - Analysis of churn rate of customers at Loblaws, Recommendations on what offers will work on consumers
- Tiktok analysis - Clustering different sections of Creators and building algorithmic recommendations, and studying user satisfaction by analysing commments using NLP techniques like tokenization, BERT
- Applications - React Based applications, for practice (React, Spring Boot)
- Classification -
- Bird classificaion - Bird classification using Deep learning, VGG16 (Tensorflow, Keras)
- HR Management - Classifying if a profile is likely to get shortlisted based on the requirements, classifying them as placed (SVM, Decision Tree, Naive bayes)
- Music Classification - Music Genre classification, generating spectograms from extraction of 3 x 30 second clips from music, then using Deep learning to classify Music genres into, Various Genres
- Sentiment Analysis - Scraping Reddit posts/comments data using Reddit API, Analysis of data using NLP techniques using stopwords, Word2Vec, Tokenization (TFIDF), BERT etc.
- Manga Sales - Studying Japanese manga sales and building estimates, recommendations
- Video-Game-Sales-Analysis - Video game sales analysis by different features like Name, Genre, type etc. And Estimating sales figures
- Generating spectograms for Audio Images
- Reddit Scraping - Script for Scraping Redddit comments using Reddit API
- Software and Frameworks : Java, Python, Spring Boot, SQL, Linux, PostgreSQL, AWS EC2, DynamoDB, HTML, CSS, React, Docker, NumPy, REST, RStudio, Git, Jira, JUnit, Selenium, Sonar, R, NumPy, Pandas, TensorFlow, Matplotlib
- Concepts : Statistical analysis, Algorithms, Data structures, Neural networks, Agile methodology, Database design and management, Web Development, Back end development