Abhijit Sarkar
@Abhijitsarkar-ds
About
Microsoft Excel/Tableau/ Python/Numpy/pandas/Matplotlib
Skills & Technologies
Projects & Repositories
Recent public projects and repositories from this profile.
Netflix-User-Behavior-Analysis
Jupyter NotebookExploratory Data Analysis (EDA) on Netflix user viewing data to uncover viewer preferences, watching patterns, genre trends, and binge-watching behavior. Built with Python, Pandas, Seaborn, and Matplotlib.
YouTube-Video-Trend-Analyzers
Jupyter NotebookThis project focuses on analyzing YouTube video performance using data analytics, extracting insights on trending content, and building visualizations to understand user engagement and growth patterns.
COVID-19-Case-Analysis
Jupyter NotebookGlobal COVID-19 Case Analysis using Time-Series Data. This project explores key patterns, timelines, growth trends, mortality rates, and recovery patterns worldwide. Includes data cleaning, visualization, EDA, and forecasting using Prophet and ARIMA models. Built as part of Data Science Internship.
Scalable-User-Churn-Prediction
PythonBig data churn prediction system built with PySpark, Spark SQL, Spark MLlib, and distributed batch processing.
Sarkarabhij
No project description available.
Predict-the-power-consumption-of-New-Zealand-based-on-various-environmental-and-meterological-factor
Jupyter NotebookPower consumption is a critical factor in energy management, impacting industries, households, and sustainability efforts. Accurate predictions can help optimize energy usage, reduce costs, and improve grid stability. This project focuses on analyzing historical power consumption data and building predictive models to forecast future energy demand