Syed Khaja Fareed Uddin

Data Scientist

https://www.opentalent.in/syed-khaja-fareed-uddin

Engineering @xunoia

Hyderabad, India

Key Strengths

Demonstrated interest in deep learning and computer vision through projects like 'Early-Alzheimers-Diagnosis' and 'vehicle-speed-tracking'.
Experience with building a neural network from scratch in C++ ('nn_mnist') indicates a strong foundational understanding of machine learning algorithms.
Proficiency in Python, a core language for Data Science.
Exposure to various data science related libraries and tools (Jupyter Notebook, YOLOv8).

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's projects are primarily personal and demonstrate a strong self-driven learning approach. The diversity of technologies (Dart, Go, C++, Python, HTML/CSS/JS) suggests adaptability and a willingness to explore different domains, which can be a positive for cultural fit in a dynamic environment. However, the lack of team projects or professional experience makes it difficult to assess collaboration and broader cultural alignment. The projects align well with a Data Scientist role, particularly in the areas of deep learning and computer vision.

Soft Skills & Operational Fit

Insufficient data to assess soft skills or 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

medicine_tracker

March 15, 2026 – Present

medicine_tracker — GitHub repository

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multimodal_emotion_recognition

February 16, 2026 – Present

multimodal_emotion_recognition — GitHub repository

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mfa_forced_alignment

February 8, 2026 – Present

mfa_forced_alignment — GitHub repository

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nn_mnist

December 19, 2025 – Present

A complete implementation of a feedforward neural network built from scratch in C++ without using any ML libraries. Includes manual backpropagation, Adam optimizer, model serialization, and training on the MNIST dataset with ~98 percent validation accuracy.

View Project

.github

November 18, 2025 – November 18, 2025

.github — GitHub repository

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vehicle-speed-tracking

November 16, 2025 – November 17, 2025

Vehicle speed estimation from highway CCTV footage using YOLOv8, object tracking, and motion based speed calculation.

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Early-Alzheimers-Diagnosis

April 20, 2025 – July 11, 2025

A deep learning-based model using ResNet50 to classify MRI brain scans into four stages of Alzheimer's Disease. The project aims to support early diagnosis through accurate image classification and evaluation using metrics like accuracy, ROC curves, and confusion matrices.

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qr_scanner

November 26, 2023 – December 28, 2023

qr_scanner — GitHub repository

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agora-token-server

August 27, 2023 – September 14, 2023

Agora Token Server created using Go Lang to generate RTC and RTM tokens for livestreaming.

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firebase_todo

August 25, 2023 – April 11, 2024

firebase_todo — GitHub repository

View Project

Key Strengths

Demonstrated interest in deep learning and computer vision through projects like 'Early-Alzheimers-Diagnosis' and 'vehicle-speed-tracking'.
Experience with building a neural network from scratch in C++ ('nn_mnist') indicates a strong foundational understanding of machine learning algorithms.
Proficiency in Python, a core language for Data Science.
Exposure to various data science related libraries and tools (Jupyter Notebook, YOLOv8).

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.

Syed Khaja Fareed Uddin

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Projects

Key Strengths

Cultural & Operational Fit