Skip to content
View AjayP3945's full-sized avatar
🎯
Focusing
🎯
Focusing
Block or Report

Block or report AjayP3945

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
AjayP3945/README.md

Hеy thеrе! 👋 I'm Ajay Pande

🌱 Aspiring Data Sciеntist | 📊 Passionatе about еxtracting insights from data

💼 Sееking opportunitiеs to apply my skills in rеal-world projеcts | 🤝 Opеn to collaborations

🔭 Skills: Python | Mysql | Mongo DB | Machinе Lеarning | Data Visualization | Statistical Analysis |

Popular repositories Loading

  1. youtube_data_harvesting_and_warehousing youtube_data_harvesting_and_warehousing Public

    Domain : Social Media | Extracting data using Youtube API and storing it on MongoDB then Transforming it to a relational databaselike MySQL. For getting various info about youtube channels.

    Jupyter Notebook

  2. AjayP3945 AjayP3945 Public

    Config files for my GitHub profile.

  3. phonepe-pulse-project phonepe-pulse-project Public

    Hi friends this is the app i created to analyse Phonepe pulse data which i get through Phonepe pulse github repo.Then I deployed this app in streamlit.Enjoy the code

    Python

  4. TelecomPrediction_Machine_Learing TelecomPrediction_Machine_Learing Public

    Analysing customer-level data of a leading telecom firm, building predictive models to identify customers at high risk of churn and identifying the main indicators of churn.

    Jupyter Notebook

  5. customer_conversion_prediction customer_conversion_prediction Public

    This project aims to predict customer conversion for an insurance company. Using historical data, we will develop a machine learning model that can identify which customers are most likely to purch…

    Jupyter Notebook

  6. Business_Card_Extract_with_OCR Business_Card_Extract_with_OCR Public

    This project employs the EasyOCR library for optical character recognition and utilizes SQL for data storage and manipulation, creating an interactive and user-friendly tool to manage business card…

    Python