Sankalp Chaudhary

Data Scientist

https://talent.gravityer.com/sankalp-chaudhary

Enterprise Marketing Leader | Amateur Data Scientist | Marketing Analyst

Quantiphi

Key Strengths

Experience in Data Science role at Quantiphi (though start date is in the future, indicating potential future employment or data entry error).
Demonstrated interest in various data science projects including payment analytics, lead scoring, and loan risk assessment.
Exposure to machine learning concepts like Logistic Regression and Deep Learning (CNN).

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's projects show a breadth of interest in different data science applications (finance, marketing, general ML). However, the experience level is listed as 0, and the single professional experience entry has a future start date, making it difficult to assess actual professional cultural fit or collaboration experience. The projects are all personal, which limits insight into team collaboration or corporate environment fit.

Soft Skills & Operational Fit

Insufficient data to assess soft skills and operational fit. Psychometric test scores are 0, providing no insight.

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Evaluating your skill match against the job requirements…

Assessing your cultural and operational fit

Projects

Loan-Risk-Assesment

March 25, 2024 – March 25, 2024

Loan Risk Assesment - Banking Domain Case Study

View Project

B2B-Customer-Payment-Analytics

December 5, 2023 – December 5, 2023

Schuster, a dominant global retailer in sports goods and accessories, is facing vendor payment delays, hampering operational efficiency and financial stability. To overcome this hurdle, we're categorizing customers by their payment history and forecasting potential late payments on outstanding invoices.

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Lead-Scoring-Case-Study

October 10, 2023 – December 5, 2023

Lead-Scoring-Case-Study — GitHub repository

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ML_Deep_learning_CNN

November 24, 2019 – November 24, 2019

Deep Learning Model using Convolutional Neural Network

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Logistic-Regression-Titanic-survival-prediction

September 7, 2017 – September 8, 2017

Logistic-Regression-Titanic-survival-prediction — GitHub repository

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Hands-On-Exercises-Solved

September 7, 2017 – September 7, 2017

Hands-On-Exercises-Solved — GitHub repository

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Class-3-Reading-and-Writing-Data

September 7, 2017 – September 7, 2017

Class-3-Reading-and-Writing-Data — GitHub repository

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Class-4--R-Functions

September 6, 2017 – September 7, 2017

R Functions

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Class1-2-3-R-Environment-R-Data-Type-Reading-and-Wing-Datarit

September 6, 2017 – September 7, 2017

Exercises for getting acquainted to R environment & Reading Data Types.

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R-Code-AMMA

August 29, 2017 – September 7, 2017

Created for AMMA

View Project

Key Strengths

Experience in Data Science role at Quantiphi (though start date is in the future, indicating potential future employment or data entry error).
Demonstrated interest in various data science projects including payment analytics, lead scoring, and loan risk assessment.
Exposure to machine learning concepts like Logistic Regression and Deep Learning (CNN).

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit

Insufficient data to assess soft skills and operational fit. Psychometric test scores are 0, providing no insight.

Sankalp Chaudhary

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Experience

Projects

Key Strengths

Cultural & Operational Fit