Laiba Tasawar

I’m a Data Science Engineer focused on production-level machine learning pipelines for financial time-series modeling. I build scalable prediction systems and simulation environments that generate actionable insights for trading decisioning.

In my current role, I designed and developed machine learning infrastructure for financial time-series modeling and real-time trading simulations. I built minute-level and secondly-level lookahead-free simulation systems, and I implemented rolling walk-forward evaluation frameworks to validate model performance over time.

I also bring strong data engineering discipline to ML, from feature engineering and data integrity to scalable training and inference pipelines for breakout and breakdown trading strategies. Earlier, as a Machine Learning Intern, I supported preprocessing, exploratory data analysis, and experimentation pipelines—improving data quality and model performance through debugging, validation, and optimization.