Seattle, Washington, United States
My journey from a professional sportsman on the badminton court to managing complex datasets has been a natural evolution, with each step adding a new layer to my analytical and strategic approach. The discipline and tenacity honed through sports laid the foundation for my transition into data analytics, shaping my mindset of precision and adaptability. As a Business Analyst, I have applied Machine Learning models and analytical techniques to extract impactful insights from complex datasets, enabling data-driven decision-making and improving business outcomes. This included using Python for data manipulation and ML model implementation, SQL for efficient data querying and management, Power BI for creating interactive visualizations, and Advanced Excel for building sophisticated models that generate deeper business insights. Currently pursuing a Master’s in Data Science & Analytics Engineering at Northeastern University, I am eager to combine my technical expertise, business strategy, and the intuitive finesse of a strategic player to contribute meaningfully to data-driven innovation by utilizing latest technologies.
IE 7275 Data Mining in Engineering
IE 6400 Foundations of Data Analytics Engineering
IE 6700 Data Management for Analytics
Led the end-to-end development of key product features, from gathering and documenting business requirements to UI/UX design, technical development, testing, and successful deployment. Develop automated dashboards, performed in-depth customer behavior analysis, and provided actionable business insights to drive data-driven decision-making. Designed models that streamlined monthly revenue and operational analysis, enabling internal stakeholders to easily access data, reduce manual work, and gain actionable insights.
Designed interactive Power BI and Excel dashboards, enhancing client reporting and providing real-time insights for better decision-making. Conducted in-depth analysis of key metrics like ad revenue, lead generation, and conversion rates, identifying trends and offering data-driven recommendations to improve campaign performance.
Designed and developed Power BI reports and dashboards, using DAX scripts to analyze key metrics like revenue, sales, distribution, and other critical business factors. Connected to various data sources, including MS SQL Server, MySQL, and Excel, to import, transform, and prepare data for BI reporting. Collaborated with senior analysts and clients to review and refine marketing strategies, ensuring effective use of data insights to drive business growth.
Developed an Intrusion Detection System (IDS) model for real-time network monitoring, effectively detecting malicious activities and unauthorized access. Conducted an in-depth evaluation and comparison of Support Vector Machine (SVM) and Convolutional Neural Network (CNN) algorithms, analyzing prediction accuracy and performance metrics to identify the most effective approach for intrusion detection.