Machine Learning Engineer
Summary
As an End-to-End Machine Learning Engineer with 10+ years of analytics experience, I have engineered and delivered immediate, actionable solutions to advance product recommendations and developments. Spatial statistics background further accelerates classification and prediction accuracy and computational performances.
Expectations
As an End-to-End Machine Learning Engineer with 10+ years of analytics experience, I expect to engineer and deliver immediate, actionable solutions to advance product recommendations and developments and deploy applications for customers.
Employment Preferences
Expected Base Salary
**0,000 USD
Academic Degree
Experience
Total Professional Experience
Startup Experience
Big-Tech Companies
Enterprise Experience
Skills
- Programming Languages
- Python
- Numpy
- Scipy
- Pytorch
- Tensorflow
- Scikit-Learn
- Statsmodels
- PySAL
- R
- SQL
- Supervised Learning
- Linear Regression
- Logistic Regression
- Generalized Linear Model
- GLM
- Generalized Linear Mixed Model
- Multivariate Analysis
- Random Forest
- Auto-Regressive Integrated Moving Average
- Unsupervised Learning
- DBSCAN Clustering
- Hierarchical Clustering
- Random Walker Segmentation
- Principal Component
- Factor Analysis
- Canonical Correlation Analysis
- Partial Least Squares
- Lasso
- Ridge
- Elastic Net
- Stepwise Selection
- Gaussian Process
- Exploratory Spatial Data Analysis
- Extract
- Transform
- Load
- ETL
- PySpark
- Pandas
- GeoPandas
- Shapely
- Rasterio
- Fiona
- GDAL
- Pyproj
- Rtree
- Database
- Visualization
- PostgreSQL
- AWS S3
- Python Matplotlib
- R Ggplot
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