Mohammed
Kannur, Kerala, India
Experience: 1 years
Open to: Full-Time
Education: Masters
Availability: Immediate
Skills: NumPy, pandas, Python, R, scikit-learn, TensorFlow
Previously worked at: Fortune 500
Assessment Score: 75
- Aspiring Data Scientist with Advanced Educational Background: Recently completed a Master’s in Data Science from Manipal Academy of Higher Education and holds a Bachelor’s in Statistics from Kannur University, demonstrating strong analytical and statistical foundations.
- Professional Experience in Data Anonymization and Machine Learning: As a Graduate Intern at GSK, contributed to clinical data anonymization using SAS and Python, achieving a 98% accuracy in function label prediction and implementing privacy-preserving algorithms with minimal information loss.
- Proven Track Record in Data-Driven Projects: Led impactful projects like uncovering regional health service utilization patterns in India, developing IPL score prediction models with Random Forest (RMSE: 10.63), and conducting surveys on educational challenges during COVID-19, offering actionable insights across diverse domains.
- Technical Proficiency and Certifications: Skilled in Python, R, SQL, Power BI, and SAS, with certifications in Deep Learning, AI for Medicine, Power BI, and Data Analytics, enhancing expertise in machine learning, deep learning, and visualization techniques.
- Strong Focus on Data Visualization and Insight Delivery: Developed interactive dashboards and visualizations to translate complex data into actionable insights, fostering informed decision-making in areas like healthcare and sports analytics.
- Continuous Learner and Collaborative Team Player: Passionate about leveraging data to drive decisions, with a commitment to professional growth and collaboration, evidenced by academic excellence, impactful internships, and diverse project experience.