Sr. Architect Resume

OBJECTIVE:

I am a passionate Author, Data Scientist, and Business Intelligence Professional

SUMMARY:

Developed a machine learning application with python and R to predict Confidential ins based on College Basketball Regular Season record, Conference, and Prior Experience in the Confidential tournament
Sentiment Analysis in twitter with Python and D3
Developed a web application that pulls twitter feeds into python using Tweepy and calculates a sentiment score using TextBlob.
Tweet sentiments are simultaneously graphed onto a bar chart in a web browser in real - time using D3.js

DATABASE, SOFTWARE AND PROGRAMMING SKILLS:

Programming in: Python, R, (D3.js) JavaScript, HTML, and CSS

Predictive Modeling: SPSS Modeler, SAS Enterprise Guide, SAS Enterprise Miner, SAS JMP, SAP Predictive Analytics, Python, and R

Big Data platforms: with Apache Spark, MongoDB & Hadoop

Dashboard development with: SAP Design Studio, Lumira, Tableau, and QlikSense

SAP Business: Objects, SAP Data Services, and SAP HANA

RDBMS: Data Modeling and Graph Data Modeling with Neo4j

WORK EXPERIENCE:

Sr. Architect

Confidential

Responsibilities:

Develop models for Confidential on Medicare Advantage Members to predict future outcomes based on demographics and medical history
Models created using Naïve Bayes and Logistic Regression with SAS Enterprise Guide and Miner and Python
Category complaint analysis based on customer service complaints of Rooms to Go deliveries
Text analysis performed with python and IBM SPSS
Market Basket Analysis with R using Association Rules
Forecasting with ARIMA models in R and Python
Machine Learning implementation of models developed in Python
Develop Predictive Model to determine climate impact on restaurant reservations
Logistical Regression model developed in Python and visualized with IBM Cognos Analytics
SAP BusinessObjects Universe Development
Teradata View Development

Sr. Technical Architect

Confidential

Responsibilities:

Developed Recidivism Rate Score on patients with Logistic Regression to 93% accuracy using R, SAP HANA, and SAP Predictive Analytics
Data Modeling on SAP HANA to develop datasets for logistic regression algorithms
Automation of live predictive models on top of SAP HANA
SAP Design Studio application development for Surgeon Scorecard usage by Providers
SAP HANA Data Modeling for data sources related to Lab and Nursing queries to be used to connect to dashboards
Dashboard Development on Lab, Nursing, Finance and Surgeon Scorecard queries and datasets
Data Visualizations and storyboard development against Big Data inside of Hadoop and SAP HANA data sources
SAP HANA Data Modeling to convert a relational database query against Oracle into an SAP HANA view for increase query performance
Web service development against HANA views for dashboard consumption
SAP BusinessObjects Universe development against Teradata and Oracle SQL
Web Intelligence and Dashboard development of MyMagic+ technology
SAP Dashboard design and development for Desktop and Mobile analysis
Web Service Development for Dashboard consumption

Associate SAP Consultant

Confidential

Responsibilities:

Lead Analytical Architect & Data Analyst

Confidential

Responsibilities:

Managed two Data Analysts with their scheduled deliverables of monthly KPI reports and initiatives and trained them to utilize companywide Business Intelligence tools
Developed and automated first companywide Medical cost & utilization KPI Dashboard using Confidential (SAP Dashboards) 2008 to be first source of trend by all analysts, managers, directors, and VP’s
Developed Pharmacy Utilization Dashboard with QlikView for Pharmacy Director
Developed queries and reports for Pharmacy and Corporate Data Departments
Designed dashboard compatible Web Intelligence queries for Dashboard Consumption
Data Analyst for Pharmacy and Medical Informatics Department