Specializing in building ELT pipelines, crafting AI-powered intelligence engines, and developing predictive models for data-driven decisions. Background in Economics and Econometrics.
ABP Network
Max Life Insurance
Automated YouTube Live stream telemetry and real-time chat data extraction engine.
Clean client-side XML parser decoding Google News sitemaps for editorial publication velocity analysis.
Extraction and normalization of time-series macro indicators, built for my economics dissertation.
Institutional-grade algotrading architecture combining macro regime scoring, forecasting, and Alpaca execution.
Why 80% of Machine Learning remains glorified janitor work, and why ELT pipelines are the silent heroes of any data science organization.
MatplotLib and Seaborn have their place, but giving stakeholders Power BI empowers decisions on the spot rather than waiting for next month's notebook report.
Taking a glimpse into AI-powered editorial strategies. How we used large language models at ABP to cluster publishing patterns across media outlets.
Forecasting traffic using Random Forests and basic GA4 metrics without needing a massive GPU farm or deep neural nets.
Why simply feeding context into ChatGPT is dead. Exploring execution paradigms, autonomous agents, and tool-use in 2024.
Scraping the World Bank for live macro trends. Connecting global economic indicators straight into dashboard workflows.
A comparative look at statistical ecosystems: Python, R, and Stata through the lens of a data-first economics graduate.
Christ University · CGPA: 7.55/10
Coursework: Econometrics, Statistics, Time Series Analysis, Regression Modeling, Hypothesis Testing, Game Theory.
Stanford University (Coursera)
Coursera