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Data Scientist with over 8 years of expereince. Catering to domains like Retail,Electrical,Automobile,FMCG,Appliances
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Assessing your cultural and operational fit
Random-Forest-Python-way
August 1, 2020 – August 1, 2020
Classification using random Forest in Python
View ProjectTime-Series-Forecasting-Using-ARIMA-python
August 1, 2020 – August 1, 2020
Implementation of Arima using Python for times ereis forecasting
View ProjectPython--Fuction-to-catch-Date-Columns
July 25, 2020 – July 25, 2020
Identify date columns fro multiple columns
View ProjectTimeseries-Decomposition
July 24, 2020 – July 24, 2020
Understand about the different components of Time Series
View ProjectK-nearest-neighbour-Knn-algorithm
July 16, 2020 – July 18, 2020
Knn - A fast , effective solution for the quick prediction/classification based business problems
View ProjectProcess-Of-Machine-Learning
July 16, 2020 – July 16, 2020
What is Machine Learning with process flow
View ProjectPackages-Installation-Jupyter-Notebook
July 7, 2020 – July 7, 2020
How to install new packages in jupyter environment
View ProjectFood-Demand-Forecasting-Challenge
January 3, 2020 – January 3, 2020
Analytics Vidhya Hackathon
View ProjectPCA-using-Excel
October 8, 2019 – October 8, 2019
Principal Component Analysis using Excel
View ProjectCultural Fit Analysis
The candidate's projects are primarily personal and academic in nature, focusing on foundational data science concepts. While demonstrating initiative, the lack of team-based projects or diverse industry applications limits the assessment of cultural fit and collaboration in a professional setting. The projects align with a Data Scientist role, but the breadth of application is narrow.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. No psychometric test results or interview feedback provided.