Rishabh Sharma

Data Scientist

https://www.opentalent.in/rishabh-sharma-18

Building intelligent pipelines where data meets decision—I’m Rishabh, a Data Engineer & Scientist crafting cloud-native ETL frameworks and AI agents

Philadelphia

Key Strengths

Demonstrated experience with Python for data science projects.
Familiarity with Jupyter Notebook for data analysis and modeling.
Experience in various machine learning applications such as credit risk prediction, customer segmentation, and loan foreclosure prediction.
Exposure to ETL pipeline concepts using Airflow and AWS EMR.
Experience with R for statistical analysis and machine learning.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's project portfolio shows a strong focus on data science and machine learning, which aligns well with a Data Scientist role. The diversity of projects (finance, crime, logistics, general AI research) indicates a broad interest in applying data science across different domains. However, the lack of team-based projects or explicit collaboration descriptions makes it difficult to assess cultural fit beyond technical alignment.

Soft Skills & Operational Fit

Insufficient data to assess soft skills and operational fit. No psychometric test results or interview feedback provided.

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Evaluating your skill match against the job requirements…

Assessing your cultural and operational fit

Projects

ai-research-engineer

April 7, 2026 – Present

ai-research-engineer — GitHub repository

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Home-Credit-Default-Risk

June 26, 2024 – November 7, 2024

Credit Card Default Risk Prediction with CI/CD

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customer_segmentation

June 14, 2024 – June 29, 2024

customer_segmentation — GitHub repository

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Collisions_prediction

April 28, 2024 – July 15, 2024

Collisions_prediction — GitHub repository

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ETL-pipeline-using-Airflow-and-AWS-EMR

March 18, 2024 – March 19, 2024

We Build an ETL pipeline using Airflow that accomplishes the following: Downloads data from an AWS S3 bucket, Runs a Spark/Spark SQL job on the downloaded data producing a cleaned-up dataset of delivery deadline missing orders and then Upload the cleaned-up dataset back to the same S3 bucket in a folder primed for higher level analytics

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The_GoodReads_Pipeline

March 18, 2024 – March 18, 2024

The_GoodReads_Pipeline — GitHub repository

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Sentencing-prediction-on-docket-data

November 9, 2022 – December 2, 2022

Sentencing-prediction-on-docket-data — GitHub repository

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Spam-Classification-using-R

November 8, 2022 – November 27, 2022

Spam-Classification-using-R — GitHub repository

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Philadelphia_crime_dataset

October 21, 2022 – November 29, 2022

Philadelphia_crime_dataset — GitHub repository

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NBFC_Loan_forclosure_Prediction

June 19, 2021 – June 23, 2021

This Project deals with prediction of loan forclosure.

View Project

Key Strengths

Demonstrated experience with Python for data science projects.
Familiarity with Jupyter Notebook for data analysis and modeling.
Experience in various machine learning applications such as credit risk prediction, customer segmentation, and loan foreclosure prediction.
Exposure to ETL pipeline concepts using Airflow and AWS EMR.
Experience with R for statistical analysis and machine learning.

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit

Insufficient data to assess soft skills and operational fit. No psychometric test results or interview feedback provided.

Rishabh Sharma

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Projects

Key Strengths

Cultural & Operational Fit