Ottawa. Looking for data analyst / entry-level data engineer work.
Currently in the NPower Canada AI & Data Analytics program. Working toward the IBM Data Analyst Professional Certificate. Day to day: SQL, Python, Excel, data cleaning, dashboards, ETL basics.
B.Sc. in Applied Mathematics. Before NPower I worked with data in two roles: backtesting and risk reporting as an FX trader/analyst, then Python pipelines and reporting as an operations/pipeline manager.
- Walmart Canada, Ottawa (2026–now) — overnight ops. Reconcile scanner inventory against the central stock DB, FIFO replenishment.
- Hidra (2024–2025) — ran Python data pipelines and reporting workflows. Cut client response times ~60%.
- Smart Prop Trader (2023–2024) — FX trader & data analyst. Python backtests, risk reporting automation, anomaly detection for derivatives.
- JME Projetos, Brazil (2015–2019) — civil engineering intern. Checklists that cut approval rework ~40%, BOQs and cost estimates across 140+ sites.
- crypto-etl-pipeline — end-to-end ETL: API ingest, SQL models, Streamlit, Docker
- congress-quant-tracker — filings ingest pipeline, post-trade returns, leaderboard
- b3-index-cash-and-carry — futures fair value, DI curve, bid/ask basis signals (23/23 pytest)
- b3-statistical-arbitrage-pairs-trading — cointegration, OU half-life, z-score backtester with PnL/Sharpe/drawdown (8/8 pytest)
- b3-vix-volatility-engine — VIX replication, DI discounting, GARCH forecasts (15/15 pytest)
Python (pandas, NumPy, FastAPI), SQL (Postgres, SQLite, BigQuery), Parquet, Streamlit, Docker, Git, Linux. Learning Tableau / Power BI in the program.
adeilsonjc@gmail.com — linkedin.com/in/adeilsoncostajr — Ottawa, ON