I analyze structured data to support business decisions in financial services, operations, and project management. My work spans SQL-driven analysis, interactive dashboards, statistical validation, and turning complex datasets into actionable insights — with deep domain expertise in financial data and construction cost management.
Selected Data Analysis Projects
Financial Data Analysis Pipeline
Problem: Needed to analyze large financial datasets across multiple time periods while preventing data leakage between analysis windows.
Approach: Built reproducible analysis pipeline with time-aware data splits, cohort segmentation, and automated reporting of key financial metrics.
Outcome: Enabled consistent, auditable analysis across multiple financial instruments with clear documentation of methodology and findings.
SQL
Python (pandas)
Data Validation
Automated Reporting
Market Data Statistical Analysis
Problem: Evaluate whether patterns in forex market data represent genuine trends or random noise.
Approach: Applied statistical testing (bootstrap, permutation tests) across 224K records and 24 instruments. Created summary dashboards showing confidence intervals and significance metrics.
Outcome: Produced rigorous analysis report with clear visualization of findings — including honest reporting that most apparent patterns did not survive statistical scrutiny.
Python
Statistical Analysis
Data Visualization
Trading Strategy Performance Dashboard
Problem: Traders needed a clear way to evaluate and compare strategy performance metrics.
Approach: Built interactive dashboard calculating expectancy, risk-reward ratios, and drawdown analysis from trade log data (CSV/manual entry).
Outcome: Live tool used for strategy evaluation with exportable PDF reports.
Live Demo
JavaScript
Chart.js
Statistical Calculations
PDF Generation
Hebrew Bible Analysis Suite
Problem: No open-source, browser-based platform existed for rigorous computational analysis of Hebrew biblical texts, including replication of the landmark 1994 WRR statistical experiment.
Approach: Built 11-tool analysis platform processing 304,805 letters with Web Workers for off-thread computation, compressed JSON data pipeline (630MB→21MB), and custom visualization including 2D/3D matrix views and Hebrew date heatmaps.
Outcome: Full-featured analysis suite with ELS search, statistical pattern detection, gematria calculator, and the first open-source WRR replication — 100% client-side, zero server dependencies, installable as PWA. Built with Claude Code (Anthropic) as a development accelerator.
Dedicated in loving memory of my Dad and teacher, Shmuel Zbaida z"l.
Live Demo | GitHub
JavaScript
Statistical Analysis
Data Pipeline
Web Workers
Background
Data Analyst & Researcher (2020–Present): Analyzed financial datasets (224K+ records across 24 instruments) using Python and SQL. Built statistical validation tools, interactive dashboards, and data pipelines for market data from API sources.
Founder & CTO, Peoples' FinTech (2017–2020): Led data platform development integrating multiple financial data sources for analysis and reporting. Built expectancy calculator dashboard for strategy performance evaluation.
Construction Operations & Cost Analysis (2002–2020): 18 years of project budgets, cost tracking, variance analysis, and financial reporting for residential and commercial construction projects.
Earlier roles: Programming Manager at Concord Wealth Management (2007–2008); Data collection and analysis at Daren Labs Scientific (2014–2016); Statistical analysis of financial data at Anitani Solutions (2003–2017).
Resume (PDF)