Aditya Bhalgat

Data Scientist

https://talent.gravityer.com/aditya-bhalgat

Pune, Maharashtra, IndiaMember since June 14, 2026

Key Strengths

Demonstrated interest in Machine Learning and Data Science through projects like 'Machine-Learning-Bootcamp-2025-Sem-II' and 'Anomalyze'.
Experience with Python and Jupyter Notebook, which are core tools for Data Scientists.
Project 'Anomalyze' shows exposure to real-time data processing, fraud detection, and machine learning model implementation (Isolation Forest), which are relevant to advanced data science roles.
Project 'telemedicine-appointment-scheduler' indicates an ability to apply data-driven optimization.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's project portfolio shows a strong inclination towards personal projects, indicating self-motivation and a passion for learning. However, the lack of team-based projects or professional experience makes it difficult to assess cultural fit in a collaborative work environment. The diversity of projects, from web development to machine learning, suggests a broad interest but also a potential lack of deep specialization in data science without further evidence.

Soft Skills & Operational Fit

Insufficient data to assess soft skills and operational fit. The candidate profile lacks information on work experience, team collaboration, or specific project roles.

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Evaluating your skill match against the job requirements…

Assessing your cultural and operational fit

Projects

May 15, 2026 – Present

AI — GitHub repository

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Anomalyze

March 6, 2026 – Present

Anomalyze is a real-time fraud detection platform built with an event-driven microservices architecture using Node.js, FastAPI, and Apache Kafka. It processes high-volume transaction streams and detects anomalies using a hybrid rule-based system and an Isolation Forest model, with a React dashboard for real-time monitoring.

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adityabhalgat.github.io

February 21, 2026 – Present

adityabhalgat.github.io — GitHub repository

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Library_Research_Project

February 4, 2026 – Present

Library_Research_Project — GitHub repository

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ayutrace-frontend

September 14, 2025 – Present

ayutrace-frontend — GitHub repository

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Machine-Learning-Bootcamp-2025-Sem-II

March 26, 2025 – April 10, 2025

Machine-Learning-Bootcamp-2025-Sem-II — GitHub repository

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VaidyaNidaanFinal

February 11, 2025 – March 18, 2025

VaidyaNidaanFinal — GitHub repository

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techfiesta-diagnostics

January 30, 2025 – February 7, 2025

techfiesta-diagnostics — GitHub repository

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Insightly

January 10, 2025 – Present

Insightly — GitHub repository

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telemedicine-appointment-scheduler

December 24, 2024 – January 5, 2025

An intelligent scheduling system for telemedicine appointments that optimizes appointment slots based on patient urgency, doctor availability, and time zone differences.

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Key Strengths

Demonstrated interest in Machine Learning and Data Science through projects like 'Machine-Learning-Bootcamp-2025-Sem-II' and 'Anomalyze'.
Experience with Python and Jupyter Notebook, which are core tools for Data Scientists.
Project 'Anomalyze' shows exposure to real-time data processing, fraud detection, and machine learning model implementation (Isolation Forest), which are relevant to advanced data science roles.
Project 'telemedicine-appointment-scheduler' indicates an ability to apply data-driven optimization.

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit

Insufficient data to assess soft skills and operational fit. The candidate profile lacks information on work experience, team collaboration, or specific project roles.

Aditya Bhalgat

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Projects

Key Strengths

Cultural & Operational Fit