Hammad Tahir
Slough,Berkshire
Summary
Data scientist with strong programming skills in Python, R, SQL, and JavaScript. Expertise in machine learning techniques including supervised, unsupervised, deep learning, NLP, and reinforcement learning. Proficient in big data technologies such as Apache Hadoop and Spark, and experienced with cloud platforms like AWS, Google Cloud, and Azure. Utilizes advanced data analysis tools for cleaning, EDA, feature engineering, and visualization, driving impactful data-driven solutions.
Overview
2
2
years of professional experience
5
5
years of post-secondary education
3
3
Certification
Work history
Data Scientist and Machine Learning Engineer
Freelance
05.2024 - 06.2024
- Engineered and deployed machine learning models for fraud detection using XGBoost and Random Forest.
- Executed data cleaning and feature engineering to enhance model accuracy.
- Optimised models through rigorous evaluation and iterative refinement.
- Developed a scam detection model to identify fraudulent activities.
Web Developer and Graphic Designer
Smart Home Startup
AJ&K
06.2022 - 09.2023
- Designed website for startup, ensuring modern aesthetics and functionality.
- Developed Android application for home device control, enhancing user experience.
- Optimised web interfaces to improve accessibility and usability standards.
Education
Master of Science - Big Data Technologies
Glasgow Caledonian University
London 09.2024 - 08.2025
Bachelor of Science - Software Engineering (Hons)
University of Azad Jammu and Kashmir
Pakistan 01.2019 - 01.2023
Skills
- Programming Languages: Python, R, SQL, JavaScript
- Machine Learning Techniques: Supervised Learning, Unsupervised Learning, Deep Learning, Natural Language Processing (NLP), Reinforcement Learning
- Big Data Technologies: Apache Hadoop, Apache Spark, Data Pipelines
- Data Analysis Tools: Data Cleaning, EDA (Exploratory Data Analysis), Feature Engineering, Pandas, NumPy, Matplotlib, Seaborn, Plotly, Tableau
- Cloud Platforms: AWS, Google Cloud, Microsoft Azure
- Development Tools: TensorFlow, Keras, Scikit-learn, Jupyter Notebooks, Git, Docker
- Model Evaluation Techniques: Hyperparameter Tuning, Cross-validation, Performance Metrics
Certification
- Machine Learning A-Z (Udemy)
- Python for Data Science and Machine Learning (Udemy)
- Data Science with Python (Udemy)
Custom
Fake News Detection System, Developed an NLP-based system using machine learning to classify news articles as real or fake. Scholarship Eligibility Prediction Model, Built a predictive model to assess eligibility for scholarships, improving allocation efficiency. AI-Based Smart Meter Diagnostics, Created a machine learning model for real-time anomaly detection in smart meters.
Affiliations
- Reading Books
- Playing Cricket
Languages
English
Upper intermediate (B2)
Urdu
Native
Hindi
Fluent
Timeline
Master of Science - Big Data Technologies
Glasgow Caledonian University
09.2024 - 08.2025
Data Scientist and Machine Learning Engineer
Freelance
05.2024 - 06.2024
Web Developer and Graphic Designer
Smart Home Startup
06.2022 - 09.2023
Bachelor of Science - Software Engineering (Hons)
University of Azad Jammu and Kashmir
01.2019 - 01.2023
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