Vishal V

Data Scientist

https://www.opentalent.in/vishal-v

Trading Research

Indian Institute Of Technology

Key Strengths

Demonstrated interest in MLOps and data science through personal projects like the Acute Lymphoblastic Leukemia detection pipeline.
Experience with Python, Jupyter Notebook, and Dockerfile, which are relevant for Data Scientist roles.
Exposure to various machine learning and data-related concepts (e.g., Forward-Forward algorithm, Black-Scholes Model, CC-Fraud).

Cultural & Operational Fit

Cultural Fit Analysis

The candidate shows a strong inclination towards personal projects, indicating self-motivation and a passion for learning. However, the diversity of projects extends beyond the target role (e.g., blockchain, web development), which might suggest a broad interest rather than a focused alignment with a Data Scientist role. The single listed experience as 'Software Engineer' at IIT without a start date in the past suggests a future or ongoing academic role, not professional experience.

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…

Identifying your key strengths…

Evaluating your skill match against the job requirements…

Assessing your cultural and operational fit

Projects

valentine-app

February 8, 2026 – Present

valentine-app — GitHub repository

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vishalv.com

November 8, 2025 – Present

vishalv.com — GitHub repository

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innovision25-paperclip

February 9, 2025 – April 29, 2025

Submission for The Indian Bank Innovision Hackathon 2025

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wikipedia-universe

January 1, 2025 – January 1, 2025

Wikipedia crawler with live graphing of article relationships.

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spoofing-research

December 14, 2024 – June 7, 2025

now public

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CC-Fraud

August 29, 2024 – August 29, 2024

CC-Fraud — GitHub repository

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Black-Scholes-Model

August 29, 2024 – August 29, 2024

Black-Scholes-Model — GitHub repository

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Final_project

May 15, 2024 – May 18, 2024

MLOps pipeline for Acute Lymphoblastic Leukemia detection from microscopic blood smear images. Includes data preprocessing with Apache Airflow, model tracking via MLflow, FastAPI deployment, and monitoring with Prometheus and Grafana. This is done as final project work for big data lab, Spring 2024, IITM.

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forward-forward-algorithm

June 10, 2023 – June 17, 2023

Experimentations with the Forward-Forward algorithm proposed by Geoffrey Hinton

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AndrewNg-Coursera-Papers

June 3, 2023 – June 17, 2023

All papers that Andrew references in his Deep Learning Specialisation (5 courses) + Machine Learning Specialisation (3 courses)

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Key Strengths

Demonstrated interest in MLOps and data science through personal projects like the Acute Lymphoblastic Leukemia detection pipeline.
Experience with Python, Jupyter Notebook, and Dockerfile, which are relevant for Data Scientist roles.
Exposure to various machine learning and data-related concepts (e.g., Forward-Forward algorithm, Black-Scholes Model, CC-Fraud).

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.

Vishal V

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Experience

Projects

Key Strengths

Cultural & Operational Fit