Vishvam Madhak

Data Scientist

https://talent.gravityer.com/vishvam-madhak

👨‍💻 Computer Vision Enthusiast 📸 | Turning Images into Answers 📊 | Let's Make AI Less Artificial 🤖✨

Vellore Institute of Technology

Key Strengths

Demonstrated interest in various data science domains through personal projects (e.g., NLP, supervised/unsupervised learning, computer vision).
Experience with Python and Jupyter Notebook for data analysis and model development.
Exposure to machine learning algorithms like SVM, Random Forest, Apriori, FP-growth, clustering methods.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's project portfolio shows a strong inclination towards personal learning and exploration in data science, which aligns with a curious and self-driven culture. However, the projects are predominantly academic/exploratory, and there is limited evidence of collaborative work or real-world deployment beyond basic web app creation. The single listed 'experience' as a Data Scientist at Vellore Institute of Technology with a future start date and 'isCurrent: true' is ambiguous and lacks detail, making it difficult to assess professional cultural fit.

Soft Skills & Operational Fit

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

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Assessing your cultural and operational fit

Projects

log-anomaly-detection-llm

March 9, 2026 – Present

Realtime log anomaly detection using TinyBERT with hyperparameter optimization using Optuna

View Project

Exploratory-Data-Analysis-Theory-Assignment

November 22, 2024 – November 22, 2024

This repository contains my Colab notebook demonstrating a model for the dataset assigned to me "bank_marketing_test.csv" using Python Code.

View Project

Facenet

September 30, 2023 – October 21, 2023

Facenet — GitHub repository

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Face_Comparison

September 20, 2023 – October 21, 2023

Creating a Web-app for Face Comparison

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Rule-Based-Learning

June 26, 2023 – June 26, 2023

Learning Apriori and FPgrowth methods

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Learning-Clustering

June 26, 2023 – June 26, 2023

Learning aggllomerative,neartest neighbour and dbscan methods of unsupervised learning

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Heart-Attack-Prediction

June 26, 2023 – June 26, 2023

Heart attack prediction using support vector classification.

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House-Price-Prediction

June 26, 2023 – June 26, 2023

House price prediction using random forest regression.

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Credit-Card-Fraud-Detection

June 26, 2023 – June 26, 2023

Practicing supervised and unsupervised learning to detect credit card fraud.

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Sentiment-Analysis

June 24, 2023 – March 10, 2024

A streamlit app developed in python to perform sentiment analysis on text.

View Project

Key Strengths

Demonstrated interest in various data science domains through personal projects (e.g., NLP, supervised/unsupervised learning, computer vision).
Experience with Python and Jupyter Notebook for data analysis and model development.
Exposure to machine learning algorithms like SVM, Random Forest, Apriori, FP-growth, clustering methods.

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit

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

Vishvam Madhak

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Experience

Projects

Key Strengths

Cultural & Operational Fit