Key Strengths

Demonstrated interest in Data Science and Machine Learning through multiple personal projects.
Proficiency in Python, a core language for Data Science.
Experience with deep learning and feature extraction techniques (MFCC) in projects like RespireNet.
Exposure to real-time systems (ViolenceGuard, Driver Drowsiness Detection).

Cultural & Operational Fit

Cultural Fit Analysis

The candidate shows a strong inclination towards personal projects, demonstrating initiative and self-learning. The projects are diverse within the AI/ML domain, ranging from medical applications to real-time detection and gesture control. This breadth suggests adaptability and a curious mindset. However, the lack of team-based projects or professional experience makes it difficult to fully assess cultural fit in a collaborative work environment. The target role of 'Data Scientist' aligns well with the project themes.

Soft Skills & Operational Fit

The candidate's project descriptions indicate a problem-solving orientation and an ability to apply technical skills to practical scenarios. However, without psychometric test results or interview data, it is difficult to assess soft skills like teamwork, communication, or stress handling. The experience level is listed as 0, with a current role as 'Data Scientist' starting in 2026, which suggests this is a future or aspirational entry, making operational fit assessment challenging.

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APPAtacker.py

Data Scientist

https://www.opentalent.in/appatackerpy

Iam basically a upgrading python developer. Nobbie 😎

Ck college of engineering and technology

Cuddalore, TamilNadu, IndiaMember since June 12, 2026

https://www.opentalent.in/appatackerpy

Top Skills

PythonJupyter NotebookJavaScriptHTMLJava

Skills

PythonJupyter NotebookJavaScriptHTMLJava

Experience

Ck college of engineering and technology

Data Scientist

June 12, 2026 – Present

Projects

Backend

July 13, 2025 – Present

Backend — GitHub repository

View Project

happy-birthday-prayag

May 13, 2024 – May 13, 2024

birthday

View Project

ViolenceGuard-Real-Time-Video-Violence-Detection-using-Deep-Learning

August 20, 2023 – August 20, 2023

ViolenceGuard is an advanced real-time video violence detection system, using optical flow analysis, to enhance public safety amidst rising global violence.

AirGes-A-Customizable-Wireless-PC-Controller-using-Machine-Learning-by-Hand-Gestures

August 2, 2023 – August 2, 2023

This repository contains a Python-based hand gesture recognition system that allows users to control applications using simple hand gestures. The system leverages the MediaPipe framework for real-time hand tracking and finger counting. Users can interact with their computers hands-free, making it ideal for presentations, media playback, and more.

View Project

EASYBANK-A-Voice-Banking-App

April 24, 2023 – April 24, 2023

This is an Android application that allows users to perform basic banking operations through voice commands. The application uses API to interact with a backend server and performs operations such as account creation, account History, balance inquiry, and viewing account details.

View Project

RespireNet-Respiratory-Disease-Prediction-Web-Application-Using-Deep-Learning

April 10, 2023 – August 2, 2023

RespireNet is an innovative web-based application that harnesses the capabilities of deep learning and Mel-frequency cepstral coefficients (MFCC) as a feature extraction technique for accurate respiratory disease prediction. The primary objective of this user-friendly web application is to facilitate early detection.

View Project

12-std-Maths-Matrix-problem-solving-in-python

February 2, 2023 – February 2, 2023

A simple problem solver and answer producer with the steps of the sum in python

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Driver-Drowsiness-Detection-Alert-System-using-Python

December 25, 2022 – October 4, 2024

A tool to detect the driver face recognition and alert the driver with voice commands

View Project

Asthma-Risk-Predicition-Using-Machine-Learning-and-Internet-of-Things

December 25, 2022 – December 23, 2024

An Asthma risk predictor using machine learning by the help of dataset

View Project

Key Strengths

Demonstrated interest in Data Science and Machine Learning through multiple personal projects.
Proficiency in Python, a core language for Data Science.
Experience with deep learning and feature extraction techniques (MFCC) in projects like RespireNet.
Exposure to real-time systems (ViolenceGuard, Driver Drowsiness Detection).

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit