About

Animesh Sharma is a self-taught programmer, full-stack web developer, and data scientist with a passion for solving complex problems. He has earned gold badges and 5-star ratings at HackerRank in Python and SQL, showcasing his exceptional programming skills. Currently, Animesh is working as an independent contractor and software developer at Gradly while pursuing his Master's degree in Computer Applications from Shri Vaishnav Vidyapeeth Vishwavidyalaya, Indore. With over 75 Github repositories and more than 500 contributions, including open-source contributions, Animesh is an active contributor to the programming and data science community. He also regularly participates in problem-solving challenges on platforms such as Leetcode, GFG, and HackerRank, having solved over 300 problems on these platforms combined. Animesh's key expertise lies in programming languages such as JavaScript, Python, R, Solidity, Java, Julia, and C++. He is also well-versed in backend technologies such as Node, Express, Django, Flask, FastAPI, Deno, Streamlit, Firebase, Firestore, and MVC, as well as frontend technologies such as React, NextJS, Gatsby, MaterialUI, Tailwind CSS, Bootstrap, and JQuery. Animesh's expertise also extends to databases such as MongoDB, PostgreSQL, and MySQL, and data science tools such as Tensorflow, PyTorch, Keras, Scikit-Learn, Seaborn, and Pandas. Animesh has experience deploying applications on AWS (EC2, S3, etc.), Heroku, Netlify, Firebase, and Vercel. He is also proficient in Git and GitHub, Markdown, Postman, Puppeteer, and Selenium, among other tools. Apart from his work in the tech industry, Animesh spends his free time working on his articulation skills, building a good physique, and working on his jump rope combos. He actively contributes to the programming and data science community by doing live coding on YouTube, creating tutorials, and writing blog posts. Animesh's current role at Gradly involves automating the company's CRM and building periodic scrapers to collect data and update Firestore databases using Firebase functions, Node, and Puppeteer. He collaborates with the sales and engineering teams via version control systems such as Git, Github, and Gitlab, and is experienced in company-wide task management using platforms such as Slack, Linear, Zeplin, and Not