MSc Data Science Graduate
Resume:
MOHAMMED UMAR
Aspiring Data Analyst SQL Python Power BI Excel
**********@*****.***
Dubai, United Arab Emirates
Single
Student Visa
C8849360
https://github.com/Ummm9
Indian
Male
09-05-2003
www.linkedin.com/in/mohammed-umar-
8966132b0
CAREER OBJECTIVE
MSc Data Science Student with a strong foundation in data analysis, machine learning, and statistical modeling. Skilled in Python, SQL, and data visualization, with hands-on experience in applying machine learning and deep learning techniques to real-world projects. Passionate about transforming data into actionable insights and building data-driven solutions for research and industry applications.
Professional Experience
ZAWR industries
Machine Learning Engineer
•Collected and processed data from databases, APIs, and structured datasets for machine learning applications.
02/2025 – 05/2025
Bangalore, India
•Cleaned and preprocessed data by handling missing values, removing noise, and normalizing datasets to improve model quality.
•Developed and trained machine learning models using TensorFlow, PyTorch, and Scikit-learn.
•Collaborated with data engineers, software developers, and cross-functional teams to integrate ML solutions into applications.
•Translated business requirements into practical machine learning solutions and analytical insights.
•Documented machine learning models, code workflows, and experimental results to ensure reproducibility and maintainability.
VelocityOS PVT LTD
AI Associate Intern
•Collected and analyzed datasets from multiple sources including databases, APIs, and public datasets to support AI model development.
08/2024 – 12/2024
Bangalore, India
•Cleaned and preprocessed data by handling missing values, removing inconsistencies, and normalizing features for improved model performance.
•Performed feature engineering and exploratory data analysis to identify patterns and improve model accuracy.
•Tested and evaluated models using appropriate performance metrics and validation techniques.
•Documented model development processes, experimental results, and technical workflows.
•Supported the deployment and monitoring of AI models in development environments. EDUCATION
MSc in Data Science
HERIOT-WATT UNIVERSITY
2025 – 2026
Dubai, UAE
Bachelor of Technology
PRESIDENCY UNIVERSITY
Major in Electronics and Communication Engineering Cumulative GPA: 7.0/10.0 2021 – 2025
Bengaluru, India
Senior Secondary School: (73.6%)
PRESIDENCY PU COLLEGE
2019 – 2021
Bengaluru, India
Skills
Technical Skills:
•Programming: Python SQL JavaScript
•Machine Learning Libraries: Scikit-learn, TensorFlow XGBoost LightGBM
•Data Analysis: Pandas NumPy
•Data Visualization: Matplotlib Plotly D3.js
•Machine Learning Techniques: Supervised &
Unsupervised Learning Deep Learning LSTM Gradient Boosting
•Data Processing: Data Cleaning Feature Engineering Data Structuring
•DevOps: Docker Docker Compose Jenkins CI/CD Pipelines
•Model Deployment: Basic Model Deployment
Containerization
•Version Control: Git GitHub GitLab
PROJECTS
Climate Change Analysis and Prediction Using Data Science Developed an end-to-end machine learning system to forecast key climate indicators including temperature, rainfall, and extreme weather events up to 30 years ahead. The system was trained on historical observational data and incorporates calibrated uncertainty estimates, model interpretability through SHAP values, and an interactive dashboard to make predictions accessible to both technical and non-technical users.
01/2026 – 07/2026
Hospital Patient Information System (DevOps)
Developed and deployed a comprehensive Hospital Patient Information System to streamline patient registration, appointment scheduling, medical record management, and healthcare operations. Contributed to the implementation of modern DevOps practices by containerizing application components using Docker and configuring automated CI/CD pipelines for continuous integration, testing, and deployment. Improved deployment consistency, reduced manual intervention, and enhanced system scalability.
01/2026 – 03/2026
Urban Heat & Social Inequality Dashboard
Designed and developed an interactive data visualization dashboard to investigate the correlation between Urban Heat Island (UHI) intensity, population density, and social vulnerability indicators. Performed data integration, preprocessing, and geospatial analysis, creating interactive charts and maps that transformed complex climate and demographic data into actionable insights for researchers, policymakers, and the general public. 01/2026 – 03/2026
Wildfire Detection and Classification Using Machine Learning and Deep Learning Developed an AI-based system to automatically detect and classify wildfires from images and video streams. Implemented deep learning models (CNN-based architectures) to distinguish between fire, smoke, and non-fire scenes with high accuracy. Performed data preprocessing, model training, and evaluation using metrics such as accuracy and F1- score. The project enables early wildfire detection and supports real-time monitoring for disaster management applications. 09/2025 – 11/2025
Memorabilia Auction House Inventory Management System Developed an inventory management system to efficiently manage and track memorabilia items for an auction house. The system maintains detailed records of items, categories, ownership, valuation, and auction status, enabling accurate item listing, updates, and retrieval. It improves inventory organization, reduces manual errors, and supports smooth auction operations through centralized data management.
09/2025 – 11/2025
Languages
English
Urdu
Hindi Kannada
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