Hello! This is Shwetha Sivakumar. I am a dedicated Computer Science student with a passion for tackling complex technological challenges. My focus lies in the dynamic realms of Machine Learning, Deep Learning, Data Science, and Mobile Application Development. I have a solid foundation in computer science fundamentals and am adept at translating innovative ideas into practical solutions.
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• Worked as a data engineer and developed and maintained 14 data analytics dashboards using tools and technologies such as Microsoft Azure (Data Explorer), SQL, GeoPandas, Shapely, and PYODBC for monitoring and troubleshooting functionality.
• Enhanced productivity by optimizing the algorithm for retrieving machine telematics and jobsite data on a cloud-based (paas) platform, resulting in accelerated acquisition of mechanical data
• Led a team of 3 in architecting and implementing a machine learning model for cyber-attack detection in web logs, resulting in a robust classification system distinguishing regular traffic, automated attacks, and manual cyber attacks with an accuracy of 97%.
• Conducted data analysis of cyber-attacks using protocols and attack types and applied subnet tracking techniques to discern and scrutinize cyber threats from 87 countries.
Coursework: Deep Learning in Computer Vision, Applied Data Science, Cloud Computing, Statistics
Coursework: Data Structures and Algorithms, Operating Systems, Computer Networks, Computer Architecture
• Languages: Python, Java, C/C++, JavaScript, HTML, CSS, Golang
• Frameworks/Libraries: Java Swing, Firebase Realtime Database, NumPy, Pandas, NodeJS, ExpressJS, OpenCV, TorchVision, TensorFlow, Keras, Flask, PyTorch
• Developer Tools: Jira, Docker, Firebase, Heroku, MySQL, Git Version Control, VS Code, Visual Studio, PyCharm, Eclipse, Jupyter, Postman
• Technologies:Google Cloud Platform, AWS, Microsoft Azure, SQL, MongoDB, Firebase Authentication, Data Analytics, Data Visualization, Apache Hadoop, Linux/Unix, Voice-to-Text APIs, Android App Development, Flutter, Unit Testing, Integration Testing, Documentation, Agile Methodologies, User Stories, Software Development, Machine Learning, pandas, matplotlib, Image Data Processing, Parsing, NLP, Deep Learning, Rest API, Feature Engineering, Hypothesis Testing
Microsoft Azure Virtual Internship Program under Future Ready Talent (October 2021 - March 2022)
Google Cloud Computing Foundations: Data, ML, and AI in Google Cloud (April 2022)
Cambridge Certification Authority – Java Level 2(December 2021)
Microsoft Learn Student Ambassadors - Cloudy Predictions Workshop on Machine Learning in the Cloud
Data Structures and Algorithms Course by Coding Mafia - Coding Club India (January 2021 - February 2021)