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Fahad Amjad
@fahadamjad0595
Data Scientist
Pakistan
Engels, Urdu
Over mij
Welcome! I am a Data Scientist and Machine Learning & Deep Learning Expert. I specialize in turning complex datasets into intelligent, scalable business solutions.
Using Python, TensorFlow, PyTorch, and Scikit-Learn, I build custom predictive models, neural networks (CNN/RNN), NLP, and computer vision architectures. From data cleaning and EDA to production-ready AI models, I deliver clean, optimized code.
Skills
Fahad Amjad
offline •
Gemiddelde reactietijd: 1 uur
Bekijk mijn diensten
Machine learning
I will do machine learning models and python code implementation
Verfijning van AI-modellen
I will do cybersecurity implementation using ai, ml, dl and python
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Werkervaring
Data Scientist & Machine Learning Engineer
Netsol IT Solution Pvt • Freelance
Apr 2022 - Jul 2024 • 2 yrs 3 mos
Developed, tested, and deployed end-to-end Machine Learning and Deep Learning solutions to solve complex business problems and optimize workflows. Key Responsibilities & Achievements: • Predictive Modeling: Designed and implemented predictive models using Scikit-Learn, XGBoost, and LightGBM, improving prediction accuracy by optimizing feature engineering pipelines. • Deep Learning Architectures: Built and fine-tuned custom neural networks (CNNs and RNNs) using TensorFlow and PyTorch for Computer Vision and Natural Language Processing (NLP) tasks. • Data Pipelines & EDA: Structured clean, automated ETL pipelines to process large, unstructured datasets; performed advanced Exploratory Data Analysis (EDA) to uncover hidden trends. • Production Deployment: Delivered clean, modular, and well-documented Python code, ensuring seamless model integration into production environments. • Business Impact: Collaborated closely with stakeholders to translate abstract business goals into data-driven algorithmic metrics, directly driving operational efficiency.
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mafzal55
Verenigd Koninkrijk
Excellent technical asset! Fahad provided an incredibly clean Python implementation for our data preprocessing pipeline. The codebase was well-structured, modular, and the step-by-step documentation comments inside the script made integration seamless. Communication was highly professional throughout...
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