-
π± Iβm currently learning Latest Technologies in Data Science
-
π Feel free to reach out to me directly :- 9112637312 / 8411003461
-
π« How to reach me ashudadanikam777@gmail.com
-
π Know about ME (Resume) https://drive.google.com/file/d/1ZO-FduKE-6_UqzwkbYFzz0N7i80MxLcY/view?usp=sharing
-
Vodafone Idea Limited
- Pune
-
08:57
(UTC +05:30) - in/ashutosh-nikam-3b0741181
- https://www.naukri.com/mnjuser/profile?id=&altresid
Popular repositories Loading
-
-
Python-Projects
Python-Projects PublicDeveloped a sophisticated house price prediction model incorporating data pre-processing, feature engineering, and Linear Regression, validated by Root Mean Squared Error (RMSE) evaluation.
Python
-
Exploratory-Data-Analysis-EDA-Using-Python
Exploratory-Data-Analysis-EDA-Using-Python PublicThe goal of this project is to perform Exploratory Data Analysis (EDA) on a dataset using Python tools and libraries within a Jupyter Notebook environment.
Jupyter Notebook 1
-
Data-Analysis-Using-Advance-Excel
Data-Analysis-Using-Advance-Excel PublicThis Excel-based project analyzes store sales data to identify trends, evaluate product performance, and optimize business strategies. Through data refinement, exploratory analysis, and interactiveβ¦
-
Utilized-Power-BI-to-analyze-E-commerce-sales-data.
Utilized-Power-BI-to-analyze-E-commerce-sales-data. PublicLeveraged Power BI to analyze e-commerce sales data, revealing actionable insights and optimizing business performance.
-
Power-BI-Unveils-Attrition-Secrets-By-Strategic-Analysis
Power-BI-Unveils-Attrition-Secrets-By-Strategic-Analysis PublicUtilized Power BI to conduct comprehensive analysis of HR data, focusing on identifying root causes of attrition.
If the problem persists, check the GitHub status page or contact support.