Dear Client
I am experienced in the followings ML using Python and R Programmings..............
I have done 10 ML projects in R and Pythons.....
Machine learning and optimization algorithms for targeting customers to increase profitability, acquire new customers and increase retention. Attrition / Cross-Sell / Up sell Propensity Models, Customer Lifetime Value, Pricing Analytics, Web Analytics. Analysis done using K means Clustering and OLS Regression, Linear & Logistic Regression analysis, Decisions trees, Time Series Analysis, Artificial Neural Networks, K-Nearest Neighbors, Random Forests Algorithm, Market Basket Analysis. Build the model to predict the customers who are going to be default and non-default customers.
Application: Advance Excel, SQL, Word, Access, VBA macro, Power point and Outlook. C Statistical Software skills: -SAS Base/Macro, SAS/SQL and Advance, SPSS. C Data Visualization Tools:--Tableau, Power BI, Qlikview C Programming language:--R Mining Tool ,Python (Pandas, Matplot Lib & Nympy) C Big data Tools:---HDFS, Map Reduce, Hive, Pig scripting
Regards
Suzan