“We are entering a new world. The technologies of machine learning, speech recognition, and natural language understanding are reaching a nexus of capability. The end result is that we’ll soon have artificially intelligent assistants to help us in every aspect of our lives.”

This is Syed Hurairah, I am a highly skilled and motivated data scientist with 3 years of experience in the field of Machine Learning and Data Science. I have a deep understanding of data analysis, data visualization, and predictive modeling techniques. My expertise in Python and SQL has helped me deliver accurate and insightful results for my clients. I am a results-driven individual who always strives to exceed client expectations.

🤹‍♂️Skill:

•  Machine Learning (Supervised and Unsupervised Learning, reinforcement learning, Deep Learning, Neural Networks).
•  Data Analysis (Data Cleaning, Data Wrangling and Exploratory Data Analysis).
•  Predictive Modeling (Linear Regression, Logistic Regression, Random Forest, XGBoost, Decision Tree, SVM Algorithm, KNN Algorithm and K-means).
• 📈Data Visualization (matplotlib, seaborn, plotly, etc.).

👨‍💻Experience:

• Developed Predictive models to predict customer for a telecommunication company, resulting in a 15% reducing in churn rates.
• Analyzed large datasets to uncover insights for a retail company, leading to a 20% increase in sales.
• Built a recommendation engine for an e-commerce company, improving customer engagement and satisfaction by 25%.
• Designed and implemented a machine learning algorithm for a healthcare company to predict patient outcomes, reducing medical errors by 10%.

📕Education:

• BS Information Technology From Virtual University Of Pakistan.
• Artificial Intelligent  From UIT

📜Certification: 

• Programming for Everybody (Getting Started with Python) From University of Michigan.
• Python Data Structures From University of Michigan.
• Crash Course on Python From Google.
• Exploratory Data Analysis for Machine Learning From IBM Skills Network.
• Supervised Machine Learning: Regression From IBM Skills Network

Availability:

I am available 6-7 hours per day/42 hours per week and ready to start working on your project.

Thank you for considering my profile. I look forward to the opportunity to work with you.