Slide 19
Slide 19 text
I am a Machine Learning engineer (e.g TF, Scikit) with extensive industrial experience. Previously, I
focused on data analysis, including time-series predictions (Numpy, Scipy) with a large impact on aircraft
maintenance cost. Based on project management and team building expertise, I lead the end-to-end
delivery of ML-based solutions.
Data
Analytics
Timeseries Machine
Learning
ML Ops
5+ years business
innovation and
technical
leadership.
Ten times: Pipeline
building and model
optimization for
forecasting aircraft
noise from 25k
flights (e.g. Pandas,
Numpy, Scipy,
Plotly, Hadoop,
Spark).
Ongoing 6m+:
Generative design of
DL surrogate model
for
stress and loads
from airframe data.
Model building
accelerated by 10x.
Test-driven model
monitoring (e.g.
SageMaker,
MLflow).