Dear Client
I am a data scienctist with a degree in engineeringalong with 10 year experince .I am well versed with machine learning techniques.I also have expertise in web scraping and data mining . My Techniques for business solutions......
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.
Skill set:---- Proficient in R, Python, SQL,Matlab ,VBA , R-shiny,Tableau Statistical techniques: Predictive Modeling techniques such Linear, Logistic Regression,Time Series,Decision trees, Random Forest, GBM, KNN, SVM,Naive Bayes,Neural Networks, Natural Language Processing, Image processing, Recommender Systems, Web Scraping. Libraries in python known : pandas, scikit learn,nltk, numpy matplotlib,scrapy, beautifulsoup??
Regards
Suzan