Award winning Analytics Professional – with demonstrated ability to yield highly profitable insights. Proficient in R, Python to design and develop data science projects
KEY SKILLS
● Good Theoretical and hands on experience on Linear Regression, Logistic Regression, CART, KNN, Cluster Analysis(K-means, PAM, CLARA, Fuzzy based, DBSCAN), Time Series Forecasting (Holt’s Winter, ETS, ARIMA, THIEF), data visualization using ggplot2 package, dashboard on R Shiny, Grafana. Network optimization and warehouse location (mixed integer programming) problems, IOT sensor data, Manufacturing quality prediction, Google API, HERE maps API services
● Good hands-on implementation experience on Machine Learning techniques - Lasso/Ridge, Bagging/Boosting/Random Forest, SVM using R and Python
● Good understanding of data visualization using Tableau, Grafana
● Querying on MySQL, PostgreSQL, Redshift.