Position: Data scientist (mid/sr), Machine Learning engineer (mid/sr), BI
Category: Other
English level: fluent
Years of experience: 10

My projects involved..
Anomaly detection: Electric Usage and Demand outliers detection for large US chain store company
Dependency Modeling: 2nd purchase behavior for retail customer; Re-Tweet vs Followers modeling
Clustering: Retail customers behavior analytics
Regression: Electric Demand and Price modelling
Summarization: Retail analytics/Dashboards, Twitter/Instagram data geospatial presentation
Process mining
+ R, SQL, Excel, QlikView, Tableau
+ Statistics, exploratory analysis, predictive analytics, machine learning, neural nets
+ basic JS, d3.js, Python, Flask, Apache Spark
+ managing small teams
+ Mooc fan and easy learner