DoraHacks NBA Prediction Hackathon
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Summary
Participated as a solo developer in the DoraHacks NBA Prediction Hackathon, leveraging analytical skills to develop predictive models.
About
Highly analytical Statistician and Software Developer with a B.Sc. in Statistics and advanced technical training, specializing in statistical modeling, backend engineering, and data analysis. Leverages expertise in Node.js, Express, and ARIMA/SARIMA to build scalable applications and implement complex time-series forecasting, delivering robust technical solutions. Proven ability to evaluate high-level research and manage full-stack development in mobile environments, poised to drive data-driven innovation.
Work
Initia Hackathon
|Lead Developer (Student Spend-Forecaster Project)
Summary
Led the development of a predictive finance tool, Student Spend-Forecaster, utilizing Node.js and Express to empower students with expense management.
Highlights
Architected and developed a predictive finance tool using Node.js and Express, enabling students to effectively manage their expenses.
Integrated advanced ARIMA/SARIMA models, delivering automated and accurate spending forecasts for enhanced financial planning.
Managed the full-stack development lifecycle and comprehensive documentation within mobile-based environments.
Journal of Information, Data, and Security Trends
|Technical Peer Reviewer
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Summary
Reviewed complex data science and machine learning manuscripts, ensuring publication readiness and methodological rigor for a leading journal.
Highlights
Evaluated complex manuscripts on data science and machine learning, ensuring publication readiness and adherence to high academic standards.
Assessed methodological rigor and statistical accuracy across technical research papers, contributing to the integrity of published content.
3MTT (Three Million Technical Talent) Program
|Program Fellow (Data Analysis & AI/Machine Learning Tracks)
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Summary
Completed advanced technical training in Data Analysis and AI/Machine Learning as a 3MTT Program Fellow, specializing in bridging statistical modeling with backend engineering.
Highlights
Engaged in advanced technical training across Data Analysis and AI/Machine Learning tracks, enhancing expertise in statistical modeling and backend engineering.
Developed proficiency in key areas including ARIMA/SARIMA, Node.js, Express, and AI Agentic Workflows, preparing for high-impact technical roles.
Applied learned concepts to practical scenarios, gaining hands-on experience in building scalable applications and implementing complex forecasting models.
Education
Bachelor of Science
Statistics
Skills
Software Development
Node.js, Express, JavaScript, Backend Engineering, SQL.
Statistical Modeling
ARIMA, SARIMA, GARCH, Quantitative Market Analysis, Trend Forecasting.
Tools & Environments
Termux, Acode, Git, GitHub, AI Agentic Workflows, Linux Terminal.
Projects
LLM Agentic Trainer Assessment
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Summary
Completed a comprehensive LLM Agentic Trainer Assessment, applying complex JSON and SQL logic to advanced AI training scenarios.