SUJAL

Data Scientist

https://talent.gravityer.com/sujal-3

Website Geek, Upcoming CSE Enthusiast! Anime Geek,

Bengaluru, Karnataka, India

Key Strengths

Demonstrated interest in Data Science and Machine Learning through multiple personal projects.
Experience with various ML frameworks and tools (YOLOv8, OpenCV, MobileNetV2, custom CNNs).
Proficiency in Python and Jupyter Notebook, essential for Data Scientist roles.
Projects like 'Footfall-Counter' and 'Aerial-Object-Detection' show practical application of computer vision and deep learning.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's project portfolio indicates a strong inclination towards personal learning and exploration in AI/ML. The diversity of projects (housing prices, footfall counter, PCB defect detection, aerial object detection) suggests a curious and self-driven individual. However, the lack of team-based projects or professional experience makes it difficult to assess collaboration and broader cultural fit within an organizational setting.

Soft Skills & Operational Fit

Insufficient data to assess soft skills and operational fit. No psychometric test results or interview feedback provided.

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Evaluating your skill match against the job requirements…

Assessing your cultural and operational fit

Projects

ai-cyberpunk-portfolio

May 14, 2026 – Present

AI-powered futuristic cyberpunk portfolio with React, Django, Groq AI, DevOps automation, analytics dashboard, and Android deployment support.

View Project

Dav-Bengaluru_Housing_Prices

February 16, 2026 – Present

Dav-Bengaluru_Housing_Prices — GitHub repository

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patholedetection

December 29, 2025 – Present

patholedetection — GitHub repository

View Project

Aerial-Object-Detection

November 27, 2025 – November 27, 2025

Aerial Object Detection using Deep Learning that classifies and detects birds and drones in aerial images for safety and surveillance applications. Transfer Learning model (MobileNetV2) trained with custom dataset achieving up to 99% accuracy, while a Custom CNN is used for baseline comparison.YOLOv8 is integrated for real-time object localization

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Footfall-Counter

October 24, 2025 – October 24, 2025

A smart AI-powered Footfall Counter that automatically detects, tracks, and counts people entering or exiting a region of interest (ROI) in a video feed. Built using YOLOv8, OpenCV, and a custom Centroid Tracking algorithm, the system can process crowd videos in real-time or offline mode.

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PatholeDetection7

September 4, 2025 – September 5, 2025

PatholeDetection7 — GitHub repository

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PCBDefect

December 9, 2024 – February 3, 2025

This project integrates MATLAB and Python for automated PCB defect detection. It employs image processing to identify common PCB issues, such as soldering errors and missing traces.

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Exosky

October 6, 2024 – October 6, 2024

Exosky — GitHub repository

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SVSS13

June 9, 2023 – April 27, 2024

Config files for my GitHub profile.

View Project

Key Strengths

Demonstrated interest in Data Science and Machine Learning through multiple personal projects.
Experience with various ML frameworks and tools (YOLOv8, OpenCV, MobileNetV2, custom CNNs).
Proficiency in Python and Jupyter Notebook, essential for Data Scientist roles.
Projects like 'Footfall-Counter' and 'Aerial-Object-Detection' show practical application of computer vision and deep learning.

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit

Insufficient data to assess soft skills and operational fit. No psychometric test results or interview feedback provided.

SUJAL

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Projects

Key Strengths

Cultural & Operational Fit