Harsh Mukhiya

Data Scientist

https://talent.gravityer.com/harsh-mukhiya

Backend Developer | Python, FastAPI, Flask | REST APIs | PostgreSQL/MySQL | Building scalable backend systems and ML-enabled services

Frankfurt am Main

Key Strengths

Demonstrated interest in Natural Language Processing (NLP) and document classification through projects like 'german_document_classifier' and 'english_document_classifier'.
Experience with Python, a core language for Data Science.
Familiarity with Jupyter Notebooks for data exploration and model development.
Exposure to R and Shiny for data visualization and interactive applications.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's projects are primarily personal and demonstrate an interest in data science and web development. However, the breadth of technologies used across various projects (HTML, CSS, JavaScript, Powershell, Perl, Shell, Dockerfile) suggests a diverse interest that may not be fully aligned with a focused senior Data Scientist role. The lack of professional experience or team-based projects makes it difficult to assess cultural fit for a senior role.

Soft Skills & Operational Fit

Insufficient data to assess soft skills and operational fit. The psychometric test score is 0, providing no insights.

AI is analyzing your overall score…

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Evaluating your skill match against the job requirements…

Assessing your cultural and operational fit

Projects

english_document_classifier

November 23, 2025 – November 23, 2025

english_document_classifier — GitHub repository

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ha981muk-git

November 18, 2025 – Present

ha981muk-git — GitHub repository

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german_document_classifier

November 4, 2025 – December 16, 2025

This project automates the classification of German business documents using transformer-based language models. By fine-tuning pretrained German BERT models, it categorizes documents like invoices, contracts, and complaints with accuracy, providing a trained model and a REST API prototype.

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lottery_shinyapp

October 9, 2025 – Present

Interactive R Shiny dashboard for analyzing lottery draw history with advanced statistical visualizations including frequency, trends, lag, and distribution analysis. Built for fast, modular, and scalable data exploration.

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smart-question-generator-backend

August 4, 2025 – August 7, 2025

smart-question-generator-backend — GitHub repository

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smart-question-generator-frontend

August 4, 2025 – August 5, 2025

smart-question-generator-frontend — GitHub repository

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question_generator

July 17, 2025 – Present

question_generator — GitHub repository

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referrals_backend

March 9, 2025 – March 9, 2025

referrals_backend — GitHub repository

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referral

February 16, 2025 – April 20, 2025

referral — GitHub repository

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project_corona

November 27, 2021 – January 29, 2023

project_corona — GitHub repository

View Project

Key Strengths

Demonstrated interest in Natural Language Processing (NLP) and document classification through projects like 'german_document_classifier' and 'english_document_classifier'.
Experience with Python, a core language for Data Science.
Familiarity with Jupyter Notebooks for data exploration and model development.
Exposure to R and Shiny for data visualization and interactive applications.

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit

Insufficient data to assess soft skills and operational fit. The psychometric test score is 0, providing no insights.

Harsh Mukhiya

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Projects

Key Strengths

Cultural & Operational Fit