Dynamic professional with a background in programming and data analysis. Well-versed in Python and machine learning, complemented by excellent problem-solving skills. Adept at transforming complex data into actionable insights, driving efficiency and innovation in projects. Committed to continuous improvement and delivering impactful results.
1. Introduction to Programming Using Python – University of Michigan (April 2024 - May 2024)
Learned the fundamentals of programming with Python, focusing on problem-solving and computational thinking. Gained practical experience with:
2. Introduction to Data Science with Python – HarvardX (Jun 2024 - Jul 2024)
Built foundational skills in data analysis and machine learning using Python. Gained hands-on experience with pandas, NumPy, Matplotlib, and scikit-learn. Learned key concepts in data wrangling, visualization, and model evaluation. Covered machine learning models including linear regression, logistic regression, k-nearest neighbors, decision trees, and naive Bayes, with a focus on classification, prediction, and performance metrics.
3. CCNA: Introduction to Networks – Cisco (Oct 2024 - Dec 2024)
Gained practical knowledge of networking fundamentals and Cisco technologies. Learned core concepts including TCP/IP, DNS, DHCP, IP addressing, subnetting, OSI/TCP models, and VLANs. Developed skills in configuring and managing routers and switches, securing networks, and troubleshooting performance issues. Used Cisco Packet Tracer to simulate and test real-world network configurations.