Key Strengths

Demonstrated interest in Data Science and Machine Learning through personal projects like 'audio-deepfake-detection', 'Smart-Captcha', and 'LogGenie'.
Proficiency in Python, a core language for Data Science, as evidenced by multiple projects.
Experience with NLP and RAG architectures in the 'LogGenie' project, indicating advanced ML application skills.
Familiarity with FastAPI for deploying ML models, as seen in 'Smart-Captcha' and 'LogGenie'.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's project portfolio shows a strong inclination towards personal projects, many of which are related to data science and machine learning. This indicates a self-driven and curious individual. However, the lack of team-based projects or contributions to open-source initiatives makes it difficult to assess collaboration skills or adaptability to diverse team environments. The target role is 'Data Scientist', which aligns well with the themes of several personal projects. The experience level of 0 and a future-dated job entry suggest this candidate is likely a recent graduate or early-career professional, which might impact cultural fit in a senior-level role without further validation.

Soft Skills & Operational Fit

The provided data does not contain sufficient information to assess soft skills or operational fit. The candidate's experience level is listed as 0, and the only listed experience is a future role starting in 2026, which suggests a lack of professional work experience. Project descriptions are concise but do not offer insights into collaboration, problem-solving approaches, or communication styles.

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Prathamesh Dhanashri

Data Scientist

https://www.opentalent.in/prathamesh-dhanashri

Pursuing my BTech degree at Vishwakarma Institute of Information Technology in Computer Science

VIIT

Pune, Maharashtra, IndiaMember since June 21, 2026

https://www.opentalent.in/prathamesh-dhanashri

Top Skills

typescriptCSSJavaScriptJavaHTMLPythonJupyter NotebookCythonC++

Skills

typescriptCSSJavaScriptJavaHTMLPythonJupyter NotebookCythonC++

Experience

VIIT

Data Scientist

June 21, 2026 – Present

Projects

audio-deepfake-detection

March 29, 2026 – Present

audio-deepfake-detection — GitHub repository

View Project

gemscap-assignment

December 17, 2025 – December 17, 2025

gemscap-assignment — GitHub repository

View Project

e-Commerce-Recommender

December 7, 2025 – December 8, 2025

deepstack-langchain_assignment

November 22, 2025 – November 22, 2025

deepstack-langchain_assignment — GitHub repository

View Project

LogGenie

March 18, 2025 – March 18, 2025

This project is a FastAPI-based application that integrates LangChain, Groq, and Hugging Face embeddings to create a policy query and log-filling system. It uses advanced NLP techniques, including retrieval-augmented generation (RAG) and conversational memory, to handle user queries and log entries.

View Project

Smart-Captcha

October 15, 2024 – Present

This FastAPI-based application detects if interactions with a website are coming from a human or a bot, based on mouse and keyboard behavior. It also uses browser information and device fingerprints to assess if the client is automated or previously blacklisted.

View Project

Key Strengths

Demonstrated interest in Data Science and Machine Learning through personal projects like 'audio-deepfake-detection', 'Smart-Captcha', and 'LogGenie'.
Proficiency in Python, a core language for Data Science, as evidenced by multiple projects.
Experience with NLP and RAG architectures in the 'LogGenie' project, indicating advanced ML application skills.
Familiarity with FastAPI for deploying ML models, as seen in 'Smart-Captcha' and 'LogGenie'.

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit