I'm a recent Computer Science graduate passionate about software development and eager to make my mark in the tech industry. With a solid foundation in full-stack development, I am continuously learning and building projects to enhance my skills.

Languages: Python, HTML/CSS, golang, JavaScript (React.js, Next.js, Node.js, express.js)
Databases: PostgreSQL, MongoDB, Redis
Tools: Git & GitHub, Linux, Jupyter Notebook, Colab, Microsoft Azure, Jira, Postman, Prometheus, Docker, AWS, Apache Kafka
Frameworks & Libraries: RESTful APIs, pandas, NumPy, Matplotlib, scikit-learn, PyTorch, TensorFlow, TailwindCSS, Gorilla/Mux , Cypress

• Wingify: • Engineered and deployed RESTful APIs using Python, enabling seamless CRUD operations with robust error handling and optimized query performance • Implemented JWT authentication for secure user access and containerized services using Docker for scalability and efficient deployment.

• Tessact: • Developed and maintained reusable UI components using TypeScript and React, enhancing code reusability and consistency across the application. • Designed and managed MongoDB databases, optimizing query performance and ensuring data integrity across multiple services.

Price-Mate

GitHub Repository Developed an advanced e-commerce product scraping tool using Next.js enabling users to receive real-time notifications on price drops and stock changes.Implemented automated email notifications and periodic data updates using Nodemailer, ensuring users are promptly informed about significant changes in product availability and pricing.

LiveDocs

GitHub Repository Live Docs is a collaborative document editor that enables real-time collaboration. Built with Next.js, TypeScript, and Tailwind CSS, it integrates Liveblocks for instant updates and secure document sharing. With features like user authentication, inline comments, and document management, Live Docs enhances productivity and teamwork in any setting.

Tesla Stock Forecasting Using LSTM
GitHub Repository
This repository contains notebooks and datasets for a comprehensive project focused on forecasting Tesla (TSLA) stock prices. The predictive models employed include a single-step LSTM for immediate forecasting and a multi-stacked LSTM for extended predictions, spanning multiple days into the future (equivalent to a month in business days). The documentation not only presents the practical implementation but also provides an insightful exploration of the intuitive and mathematical underpinnings of LSTM networks.

KryptoWalletApp
GitHub Repository
KryptoWalletApp is a basic Hardhat project showcasing Ethereum development practices. It features a sample contract, a corresponding test suite, a deployment script, and an example task implementation. This serves as a foundation for developers to explore and understand the functionalities of Hardhat in Ethereum development.

Customer-Segmentation-for-E-commerce
GitHub Repository
This project involves segmenting customers to predict what they would buy on their next visit according to their history. It includes product clustering using tf-idf technique and customer clustering using K-Means Clustering algorithms, with a final classification using various models like SVM, Logistic Regression, k-NN, Decision Tree, Random Forest, Gradient Boosting, and Ada Boost.

Social Media Sentiment Analysis
GitHub Repository
This project involves analyzing sentiments and manifestations (comments, hashtags, posts, tweets) of Twitter users based on the main trends (e.g., COVID-19) using Natural Language Processing and Sentiment Classification with a Recurrent Neural Network (RNN).

Threads-Sentiment-Insights
GitHub Repository
This project investigates the intricate factors shaping user ratings and conducts sentiment analysis on reviews from app stores and Google Play for Threadfluence, an Instagram-backed app. The analysis aims to decode the elements driving user ratings and unravel the sentiments expressed in the reviews.

• Solved over 750 questions on LeetCode and contributed to 70 solutions and several articles.
• Won second place in HackCode, a university coding championship.

I'm currently delving deeper into system design and exploring advanced topics in distributed systems and microservices. I aim to apply this knowledge to build scalable and resilient applications.

• LinkedIn: Parvez-khan
• GitHub: Parvezkhan0
• LeetCode: parvezkhan
• GeeksforGeeks: parvezcs20
• Medium: parvez0khan

When I'm not coding, I enjoy exploring new tech trends, participating in hackathons, and contributing to open-source projects.