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Data Scientist with high aptitude for Data ,love towards Analytics and deriving Business & Financial Solutions from it
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Credit-Card-Fraud-Detection
January 18, 2021 – January 18, 2021
Link to data - https://www.kaggle.com/mlg-ulb/creditcardfraud
View ProjectMatrix_Func_to_find_distance_using_coordinates
January 2, 2021 – January 2, 2021
Small function to find distance distance of a each and every data point in Place_a from each and every point in Place_b
View ProjectChurning-of-Telecos-Company
December 28, 2020 – December 28, 2020
An in-depth study to understand customers whether they would churn out in the 3rd month or not on basis of previous 2 months data.
View ProjectTime-Series-ARIMA
October 31, 2020 – October 31, 2020
Determining the Sales Forecast in a with the help of existing trend and seasonality factor from pre collected data using exponential smoothening (using log and differential concepts on the data) to make data stationary as well as and better determine future predictions
View ProjectCustomer-Lifetime-Value-of-Auto-Insurance-Comapany
October 28, 2020 – October 28, 2020
An end to end project to determine The Lifetime Value of Customers of a Car Insurance Company using Regression Model with an Adj R square of 92% and a presentation with business analysis and recommendations
View ProjectUS-House-Pricing-Model-Codes
October 28, 2020 – October 28, 2020
Estimation of house prices in US on various parameters and level. A simple Linear Regression model built
View ProjectCultural Fit Analysis
The candidate's projects show an interest in applying data science to diverse business problems, which aligns with a problem-solving culture. However, the lack of team projects or collaborative experience makes it difficult to fully assess cultural fit.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. No psychometric test results or interview feedback provided.