Skip to content
View Saikamesh's full-sized avatar
🎯
Programming
🎯
Programming
4 followers · 1 following

Achievements

Achievement: Pull SharkAchievement: Arctic Code Vault Contributor
BetaSend feedback

Achievements

Achievement: Pull SharkAchievement: Arctic Code Vault Contributor
BetaSend feedback

Highlights

  • Pro
Block or Report

Block or report Saikamesh

Block user

Prevent this user from interacting with your repositories and sending you notifications. Learn more about blocking users.

You must be logged in to block users.

Please don't include any personal information such as legal names or email addresses. Maximum 100 characters, markdown supported. This note will be visible to only you.
Report abuse

Contact GitHub support about this user’s behavior. Learn more about reporting abuse.

Report abuse
Saikamesh/README.md

Hello there 👋

  • 🔭 Projects I'm currently working on

    • Building a Python package to interact with TikTok Research APIs.
    • Full Stack Web Application for performing Exit Interviews.

  • 📫 How to reach me:

  • 🔨 Languages and Tools

Pinned

  1. tt_crawl tt_crawl Public

    Python package for interacting with tiktok research api.

    Python 1

  2. EGXIT.IN-Client EGXIT.IN-Client Public

    Frontend for EGXIT.IN, A web-based application designed to streamline the process of conducting employee exit surveys. It empowers organizations to gather valuable feedback from departing employees…

    TypeScript

  3. EGXIT.IN-Server EGXIT.IN-Server Public

    Backend for EGXIT.IN, A web-based application designed to streamline the process of conducting employee exit surveys. It empowers organizations to gather valuable feedback from departing employees,…

    Python

  4. Clark-AcroNet Clark-AcroNet Public

    Python

  5. Server-side-Development Server-side-Development Public

    Part of Server-side Development with NodeJS, Express and MongoDB

    JavaScript

  6. deeplearning-projects deeplearning-projects Public

    This repository consist of all the assignments and projects done on deeplearning.ai Deeplearning Specialization.

    Jupyter Notebook