Salman Javaid
Data Scientist @Upwork
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WORK HISTORY
Data Scientist @Upwork
GB
Delivered end-to-end machine learning and data science solutions for international clients, translating business requirements into scalable AI systems and production-ready analytics tools.Built and optimised predictive models using XGBoost, Random Forest, Logistic Regression, and Gradient Boosting, improving model accuracy and performance through advanced feature engineering, cross-validation, and hyperparameter tuning.Developed deep learning solutions including LSTM, CNN, and Transformer architectures for time-series forecasting and pattern detection tasks.Engineered automated data pipelines using Python, SQL, REST APIs, and web scraping tools to collect, clean, and process structured and semi-structured datasets at scale.Applied explainable AI techniques such as SHAP and feature importance analysis to ensure transparency and stakeholder trust.Designed interactive dashboards and reporting systems using Streamlit and advanced data visualisation tools, enabling data-driven decision-making for technical and non-technical stakeholders.Managed full project lifecycle independently, from scoping and client communication to deployment and post-delivery optimisation.
EDUCATION
The Manchester Metropolitan University
Master of Science - MS, Artificial Intelligence
COMSATS University Islamabad
Bachelor of Science - BS, Software Engineering
ABOUT SALMAN JAVAID
I am a Data Scientist with a Distinction in MSc in Artificial Intelligence from Manchester Metropolitan University, specialising in predictive modelling, machine learning, and applied analytics. My focus is on developing data-driven solutions that are not only technically robust but practical and aligned with real business needs.I have experience building end-to-end data science solutions, from data collection and preprocessing to feature engineering, model development, evaluation, explainability, and deployment. I place strong emphasis on model performance, transparency, and delivering insights that stakeholders can confidently act on.Key experience includes:• Developing a crime forecasting system using over 10 years of police data, achieving 92% accuracy and 0.978 ROC-AUC using XGBoost alongside deep learning models such as LSTM, CNN, and Transformers• Designing a reinforcement learning model for dynamic pricing, improving simulated revenue by 18%• Delivering freelance machine learning solutions for international clients, translating business requirements into production-ready predictive systems• Building automated data pipelines and interactive dashboards using Python, SQL, and Streamlit• Applying SHAP and feature importance techniques to ensure model interpretability and stakeholder trustMy technical stack includes Python, SQL, scikit-learn, XGBoost, PyTorch, TensorFlow, Pandas, NumPy, SHAP, Prophet, and experience across machine learning, deep learning, time-series forecasting, and reinforcement learning.I am currently seeking graduate or junior Data Scientist roles within the UK, where I can contribute strong analytical capability, technical depth, and a practical problem-solving mindset.
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