Tal Fainberg

• • Performed data analysis, data cleaning, and validation across the product catalogue, reconciling records between CCU, JDE ERP, SSRS reporting, and internal data sources.

• • Designed and built an automated validation tool (VBA/Excel) consolidating data from 5 systems, generating automated issue reports for status discrepancies, stock, orders, and superseded parts — replacing manual cross-checking.

• • Built a binary file parser for TecDoc .data files and migrated legacy status codes to the TecDoc standard, improving catalogue data consistency.

• • Developed BOM comparison and reporting tools to support engineering and catalogue review workflows.

• • Wrote SQL queries against ERP extracts to perform root cause analysis of part-level data discrepancies between AISIN Europe and Japan, collaborating with stakeholders across regions.

• • Evaluated and trained AI/LLM models on programming tasks, writing and reviewing Python, C++, C#, and Java code for correctness, quality, and reasoning accuracy.

• • Worked extensively with structured data formats (JSON, XML) and data visualization tasks in Python.

• • Applied systematic testing and review criteria to assess code outputs, strengthening attention to edge cases and code quality standards.

• • Designed and built an automated trading bot in Python (API integration, data processing), achieving an average monthly return of 3%.

• • Built a Python backtesting framework processing historical candlestick data to validate and refine trading strategies before deployment.

• • Performed time-series data analysis of market trends and indicators to iterate on strategy logic.