Skip to content
View Rohit2350's full-sized avatar

Block or report Rohit2350

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
Rohit2350/README.MD

Hi, I'm Rohit Gadekar

Welcome to my GitHub repository! Here, you'll find a showcase of my diverse projects and skills in the fields of Machine Learning and Data Analytics. I've cultivated a strong and varied set of skills that will help me leverage data-driven insights for problem-solving and innovation.

rohit2350

Connect with me:

LinkedIn YouTube HackerRank

Languages and Tools:

figma git hadoop mssql mysql pandas postgresql python scikit_learn seaborn sqlite

rohit2350

Pinned Loading

  1. User_Engagement_Analytics_by_SQL Public

    This project conducts a comprehensive analysis of Instagram user engagement, focusing on registration patterns, posting frequency, and user interactions with the help of SQL.

    1

  2. Interactive-_Spotify_Dashboard- Public

    This Interactive Spotify Dashboard is created using power bi along with it to show album art html and CSS both are used along with them Library name called DENEB is also used to make more quality V…

    Python 1

  3. Interactive-Power-BI-Dashboard-using-E-commerce-sales-data- Public

    The Objective of this project is to Create a Power BI Dashboard for a Online Seller who can keep track of their Online Sales across India

    1

  4. Youtube_Data_Analysis_with_YT_API Public

    Analyzed data from 9 Data Science/Analytics YouTube channels, revealing that higher likes and comments correlate with more views. Most-viewed videos have titles of 30-70 characters and 5-30 tags. U…

    Python 1

  5. Shipping_Data_Analysis- Public

    This project examines delivery performance, revealing that 40% of packages were delivered late. Key insights include the dominance of road transport over shipping, a skewed distribution of discount…

    Jupyter Notebook 1 1