Analysed global e-commerce sales data, created interactive Power BI dashboards, and presented insights to senior leadership.
Data Analyst Internship
Roborigger
07.2024 - 12.2024
I produced productivity reports for over 15 IoT-enabled machines using Python, HTML, and JavaScript, cleaned and optimised datasets for accurate analysis, built a yearly machine performance dashboard in Power BI, documented system bugs, and worked with Docker, Visual Studio, and GitLab for development and collaboration.
Education
Master's - Data Science
Edith Cowan University
Joondalup
12.2024
Postgraduate Diploma - Computer Applications
Kurukshetra University
12.2021
Bachelor's - Science
09.2020
Certification
SQL: Data Reporting and Analysis, LinkedIn, 06/24
Power BI Essential Training, LinkedIn, 10/24
Generative AI, LinkedIn, 10/24
Key Data Science Projects
Facial Emotion Recognition for Road Safety, Developed a Facial Emotion Recognition system using deep CNNs in Python with TensorFlow and OpenCV. Pre-processed and augmented the FER-2013 dataset images, optimised the model through iterative testing, and integrated it into a real-time e-hailing safety application.
ECommerce Website Database Design and Implementation, Designed and implemented a robust SQL database for an e-commerce website, creating system diagrams, developing a normalized schema, populating it with sample data, executing queries, and implementing secure, role-based views.
Cybersecurity Breach Detection Using Machine Learning, Developed and compared supervised machine learning models in R to detect rare malicious events in Splunk SIEM logs, addressing class imbalance through bootstrapped sampling, tuning hyperparameters, and evaluating with precision, recall, accuracy, and F1-score.
Key Data Science Skills
Programming (Python, R, SQL, C++, MATLAB)
IoT & Real-Time Data
Data Visualization (R, Excel, Power BI)
Microsoft 365 Tools (Excel, PowerPoint, SharePoint, OneDrive, Outlook, Access)
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