Rhythm

Data Scientist

https://www.opentalent.in/rhythm

Data Engineer - Either automating sth, or learning some cool stuff

New Delhi, Delhi, India

Key Strengths

Demonstrated interest in various data science domains including OCR, customer segmentation, fraud detection, and generative AI through personal projects.
Experience with common data science tools like Jupyter Notebook and Python.
Exposure to ETL pipelines using Airflow and PostgreSQL, indicating some understanding of data engineering aspects.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's projects are primarily personal and academic in nature, focusing on foundational data science algorithms and tools. While demonstrating initiative, the lack of team-based or industry-specific projects makes it difficult to fully assess cultural fit for a senior role. The projects show a learning-oriented mindset.

Soft Skills & Operational Fit

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

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Projects

rhythm001

May 25, 2026 – Present

rhythm001 — GitHub repository

View Project

Stock-Market-ETL-Pipeline

May 24, 2026 – Present

Automated stock market ETL pipeline using Python, Airflow, PostgreSQL, and financial indicators for daily analytics and reporting.

View Project

OCR-using-Pytesseract

August 11, 2024 – August 11, 2024

Here is a short tutorial of the Pytesseract library on Google Colab.

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OCR-to-Excel-Automation

August 11, 2024 – August 11, 2024

Instead of doing image-by-image OCR and copy-pasting it, this is an automation code from which OCR outputs of all images in a folder can automatically be exported into an excel file.

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Optical-Character-Recognition-using-PaddleOCR

August 11, 2024 – August 11, 2024

A small tutorial file on my journey with PaddleOCR.

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Text-Generation-Using-Generative-AI-and-Hugging-Face-Pipeline

August 8, 2024 – August 8, 2024

A simple text generation AI using Mistral-7B-instruct, using GPU on Google Colab.

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Chicago-Crime-Dataset-Analysis-and-Visualisation

December 3, 2023 – December 3, 2023

Exploratory Analysis and Spatial Representation of Chicago Crime Dataset Using Tableau

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Mall_Customer_Segmentation_K_Means

November 21, 2023 – November 21, 2023

Mall Customer Segmentation using K-Means Clustering Algorithm.

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Credit_Card_Fraud_Detection

November 20, 2023 – November 20, 2023

Using ML models for predicting fraud and legit transactions using Logistic Regression.

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House-price-prediction-using-linear-regression

August 18, 2023 – August 18, 2023

House-price-prediction-using-linear-regression — GitHub repository

View Project

Key Strengths

Demonstrated interest in various data science domains including OCR, customer segmentation, fraud detection, and generative AI through personal projects.
Experience with common data science tools like Jupyter Notebook and Python.
Exposure to ETL pipelines using Airflow and PostgreSQL, indicating some understanding of data engineering aspects.

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit

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

Rhythm

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Projects

Key Strengths

Cultural & Operational Fit