Aditya Bhalgat

Data Scientist

https://www.opentalent.in/aditya-bhalgat

PuneMember 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.

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

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