Nouman Khan
ML EngineerSenior Data Scientist | Generative AI, LLM
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Senior Data Scientist | Generative AI, LLM
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Experienced Data Science professional with almost 10 years of experience in developing Machine Learning Applications and MLOps. Developed and Delivered AI products for Manufacturing, Sports, Digital Marketing, Supply Chain, Health Care and Insurance industries to improve processes, introduce automation, identify risks and enable informed decision making. I am a passionate Product Owner and love to design, develop and deliver products from scratch.
ESSEC Executive Education
Leadership for Executives
May 1, 2025 – May 1, 2025
International Islamic University, Islamabad
MS Electrical Engineering, Machine Learning
January 1, 2015 – Present
International Islamic University, Islamabad
Bachelor of Science - BS, Electrical and Electronics Engineering
January 1, 2010 – Present
Fathom.io
Senior Data Scientist
July 1, 2025 – Present
Al Khobar, Eastern, Saudi Arabia · On-site
Crayon
Senior Data Scientist
October 1, 2023 – July 1, 2025
Al Khobar, Eastern, Saudi Arabia · On-site
SABIC
Senior Data Scientist
March 1, 2022 – September 1, 2023
Jubail, Eastern, Saudi Arabia
Sigma Square
Senior Machine Learning Engineer
March 1, 2021 – March 1, 2022
Islāmābād, Pakistan · On-site
Sigma Square
Machine Learning Engineer
May 1, 2017 – February 1, 2021
Islāmābād, Pakistan · On-site
PredictifyMe
Data Analyst
January 1, 2015 – April 1, 2017
Islamabad, Islāmābād, Pakistan
Jaag Broadcasting PVT LTD
Broadcast Engineer
January 1, 2011 – January 1, 2015
Islamabad
Real Time Text Similarity Engine for Similar News Articles
September 1, 2021 – December 1, 2021
Developed backend ML service to deliver similar news articles against an anchor article. The service clusters similar articles based on BERT embeddings and cosine scores, delivers real time scores using milvusDB.
Monocular Motion Capture in Single Camera Video
March 1, 2019 – Present
Developed motion capture from single camera using 2D pose lifting
Real Time Image Segmentation
August 1, 2018 – January 1, 2019
Developed real time image segmentation model with application in sports decision making system.
Image Hashing using Deep Learning Techniques
February 1, 2018 – March 1, 2018
The goal is to use Convolutional Neural Networks to compute binary codes (hashes) of digital images to find and retrieve similar images from database.
Object height estimation from Satellite Images
October 1, 2017 – January 1, 2018
The goal is to measure object height from Satellite Images.
Google Project Management
June 24, 2026 – Present
8-week program in Machine Learning and Deep Learning
Pi School
June 24, 2026 – Present
Cultural Fit Analysis
The candidate has a diverse project portfolio spanning motion capture, object height estimation, text similarity, image segmentation, and image hashing, indicating a broad interest in ML applications. Their experience across various companies (Fathom.io, Crayon, SABIC, Sigma Square, PredictifyMe) and roles (Senior Data Scientist, Senior ML Engineer, Data Analyst) suggests adaptability. The target role of ML Engineer aligns well with their career trajectory and project focus. However, the lack of explicit team collaboration or cultural engagement details in the provided data limits a deeper cultural fit assessment.
Soft Skills & Operational Fit
The candidate's experience descriptions indicate a focus on delivering insights, working with decision-makers, and leading teams, suggesting good communication and collaboration skills. The role as a Broadcast Engineer earlier in their career also implies operational reliability and problem-solving under pressure. However, without specific assessment data, a definitive evaluation of soft skills and operational fit is limited.