Skip to content
View Adi46878's full-sized avatar
  • 20:58 (UTC +05:30)

Block or report Adi46878

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.

Maximum 250 characters. Please don’t include any personal information such as legal names or email addresses. Markdown is supported. This note will only be visible to you.
Report abuse

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

Report abuse
Adi46878/README.md

About Me:

Data Science / Machine Learning projects, especially real-world datasets
Improving model performance & deploying ML models
Advanced ML, Feature Engineering, and Model Deployment
Python, SQL, Machine Learning , Data Analytics

🌐 Socials:

LinkedIn email

πŸ’» Tech Stack:

Python Anaconda MicrosoftSQLServer Pandas NumPy mlflow Matplotlib Keras Plotly PyTorch scikit-learn Scipy Git GitHub

πŸ“Š GitHub Stats:



πŸ† GitHub Trophies


Popular repositories Loading

  1. Adi46878 Adi46878 Public

  2. retail-customer-insights retail-customer-insights Public

    This project focuses on analyzing retail transaction data to extract meaningful customer insights. The goal is to understand customer behavior, purchasing patterns, and key business metrics that ca…

    Jupyter Notebook

  3. credit-risk-and-spending-analysis credit-risk-and-spending-analysis Public

    Data analysis case study on credit card transactions to extract insights on customer behavior, spending patterns, and trends.

    Jupyter Notebook

  4. air-passenger-forecasting air-passenger-forecasting Public

    Time series forecasting project using ETS, ARIMA, and SARIMA models on Air Passengers dataset.

    Jupyter Notebook

  5. Insurance-claims-analysis Insurance-claims-analysis Public

    This project focuses on exploratory data analysis (EDA) and statistical hypothesis testing on insurance claims data.

    Jupyter Notebook

  6. Pharma-Sales-Data-Analysis-Visualization Pharma-Sales-Data-Analysis-Visualization Public

    Pharma sales data analysis and visualization using Python, Pandas, and Matplotlib with insights across regions, tiers, and quarterly trends.

    Jupyter Notebook