Manmit

Data Scientist

https://www.opentalent.in/manmit

Always Learning......

Mumbai, IndiaMember since June 12, 2026

Key Strengths

Demonstrated proficiency in Python, a core language for Data Science.
Experience with machine learning projects (CNN, neural networks, spam detection) indicates foundational knowledge in the target role.
Familiarity with Jupyter Notebooks, a common tool in data science workflows.
Exposure to MLOps concepts through the 'spam-detection' project (Dockerized FastAPI backend, MongoDB, modular MLOps pipeline).

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

DevOps-Mini-Projects

June 5, 2026 – Present

DevOps-Mini-Projects — GitHub repository

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secure-stream-devsecops

June 3, 2026 – Present

secure-stream-devsecops — GitHub repository

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mindstep-ai

April 6, 2026 – Present

mindstep-ai — GitHub repository

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smart-review-analyzer

April 1, 2026 – Present

smart-review-analyzer — GitHub repository

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training_cnn_from_scratch

March 9, 2026 – Present

CNN learning progression from basic single channelled MNIST data to rgb channels CIFAR 10 data to actual dog cat classification data

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mnist-neural-network

February 19, 2026 – Present

mnist-neural-network — GitHub repository

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chronospin

January 28, 2026 – Present

An advanced Rubik’s Cube timer built with Flutter. Inspired by Twisty Timer and Cubedesk.io, it includes WCA‐compliant scrambles, inspection countdowns, solve history, statistics (Ao5, Ao12, PB tracking), and modern UI with cloud sync.

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trend-forge-knowcode

January 24, 2026 – Present

TrendForge is an AI-powered research partner for content creators, built for KnowCode 3.0 ’26. It tackles content fatigue by continuously scanning high-signal data streams - Google Trends, Reddit, and X (Twitter) - then translating raw trend signals into actionable Content Blueprints you can execute fast.

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streamlit-web-app

January 19, 2026 – Present

streamlit-web-app — GitHub repository

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spam-detection

January 4, 2026 – Present

Real-time spam classifier that filters SMS and Email content via a Dockerized FastAPI backend with MongoDB data ingestion and modular MLOps pipeline architecture.

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Key Strengths

Demonstrated proficiency in Python, a core language for Data Science.
Experience with machine learning projects (CNN, neural networks, spam detection) indicates foundational knowledge in the target role.
Familiarity with Jupyter Notebooks, a common tool in data science workflows.
Exposure to MLOps concepts through the 'spam-detection' project (Dockerized FastAPI backend, MongoDB, modular MLOps pipeline).

Cultural Fit Analysis

The candidate's projects are primarily personal and demonstrate a strong interest in various technical domains including web development, DevOps, and data science. While this shows breadth, the lack of professional experience or team-based projects makes it difficult to assess cultural fit. The diversity of projects suggests an inquisitive and self-driven individual, but alignment with a specific team culture is unknown.

Soft Skills & Operational Fit

Insufficient data to assess soft skills or operational fit. The candidate's project descriptions are concise, but there is no information on collaboration, problem-solving approaches, or communication style.

Manmit

Key Strengths

Top Skills

Skills

Projects

Key Strengths

Cultural & Operational Fit