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Rehan Afzaal Abbasi Data Scientist | Machine Learning Expert | Problem Solver 🌐 LinkedIn: https://www.linkedin.com/in/rehanafzaal/ 📧 Email: [email protected] 📞 Phone: +92 344 0101891 Passionate data scientist experienced in machine learning, statistical analysis, and problem-solving. I leverage data-driven insights to drive business growth and optimize processes. With a strong mathematical background and advanced technical skills, I extract valuable information from complex datasets to facilitate strategic decision-making and enhance organizational performance. 🔬 Expertise: Data Analysis & Visualization: Extract actionable insights through exploratory analysis and advanced visualization techniques using Python, R, and SQL. Machine Learning & Predictive Modeling: Build robust models for trend forecasting, process optimization, and enhanced customer experiences. Proficient in algorithms like linear regression, logistic regression, decision trees, random forests, support vector machines, and neural networks. Statistical Analysis & Hypothesis Testing: Apply rigorous statistical techniques to validate hypotheses, perform A/B testing, and provide data-driven recommendations using Python, R, and statistical software packages. Problem Solving & Optimization: Identify patterns, evaluate alternative solutions, and implement effective strategies to solve complex problems across industries. Collaboration & Communication: Skilled in cross-functional collaboration, bridging the gap between technical and non-technical stakeholders, and conveying complex concepts in a clear and understandable manner. 📚 Education: BS, Information Technology from Arid University Rawalpindi Data Science & ML from Dice Analytics Python for Data Science from IBM 🏆 Professional Experience: Data Scientist/ML Engineer, Cplus Soft, Jan 2023 - Present Led end-to-end data analysis projects, from data collection to visualization. Developed machine learning models that significantly improved specific metrics. Collaborated with cross-functional teams, delivered actionable insights, and influenced decision-making. Mentored junior team members, fostering a culture of continuous learning. 📢 Key Skills: Programming: Python, SQL Machine Learning: Regression, Classification, Clustering, NLP, Deep Learning Statistical Analysis: Hypothesis Testing, A/B Testing, Time Series Analysis Data Visualization: Tableau, Power BI, matplotlib, ggplot Tools & Libraries: TensorFlow, Keras, scikit-learn, pandas, NumPy, Spark