Preet Nishar

Data Scientist

https://talent.gravityer.com/preet-nishar

Software Engineer specialising in backend, AI/LLM systems, and cloud-based software engineering.

Mumbai, Maharashtra, India

Key Strengths

Demonstrated proficiency in Python for various applications, including data science and web development.
Experience with machine learning projects, specifically intrusion detection systems and loan eligibility prediction.
Familiarity with web technologies (HTML, CSS, JavaScript) for front-end and Flask for back-end development.
Several projects involve AI/ML concepts (RAG, LLMs, OCR) which align with Data Scientist role.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's projects show a strong inclination towards personal development and exploration of various technologies, particularly in AI/ML and web development. The diversity of projects suggests a proactive and self-driven individual. However, the lack of team-based projects or professional experience makes it difficult to fully assess cultural fit in a collaborative environment. The projects are primarily Python-centric, which aligns with a Data Scientist role, but the breadth of data science specific tools (e.g., big data, cloud platforms, advanced statistical packages) is not explicitly demonstrated.

Soft Skills & Operational Fit

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

AI is analyzing your overall score…

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Evaluating your skill match against the job requirements…

Assessing your cultural and operational fit

Projects

FileDuplication

April 24, 2026 – Present

FileDuplication — GitHub repository

View Project

easygrading

February 14, 2026 – Present

easygrading — GitHub repository

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AI-Powered-Resume-Builder-ATS-Optimization-Agent

January 21, 2026 – Present

AI-Powered-Resume-Builder-ATS-Optimization-Agent — GitHub repository

View Project

AutoGrader

January 6, 2026 – Present

Production-ready AI autograding system for scenario-based and case-study university assignments using OCR, RAG, and LLMs with confidence-aware evaluation.

View Project

taskmanager

December 18, 2025 – December 18, 2025

taskmanager — GitHub repository

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InvoiceManagementSystem

August 24, 2025 – August 24, 2025

Full-stack invoice management system built with Flask and SQLite featuring automated billing, customizable invoices, and inventory tracking.

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Intrusion-Detection-System

June 30, 2025 – June 30, 2025

Intrusion-Detection-System — GitHub repository

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IntrusionDetectionSystem-ML-

February 23, 2025 – Present

Machine learning–based intrusion detection system using CICFlowMeter and CICIDS2017 with Flask visualization and >98% classification accuracy.

View Project

LoanEligibilityPrediction

February 16, 2025 – February 16, 2025

Uses Python flask, HTML for web interaction, model was trained on a dataset from kaggle.

View Project

Student_ERP

September 2, 2024 – February 25, 2025

Student_ERP — GitHub repository

View Project

Key Strengths

Demonstrated proficiency in Python for various applications, including data science and web development.
Experience with machine learning projects, specifically intrusion detection systems and loan eligibility prediction.
Familiarity with web technologies (HTML, CSS, JavaScript) for front-end and Flask for back-end development.
Several projects involve AI/ML concepts (RAG, LLMs, OCR) which align with Data Scientist role.

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit

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

Preet Nishar

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Projects

Key Strengths

Cultural & Operational Fit