Manager, Data Analytics Resume

SUMMARY

Data Analytics professional with over eight years of Programming in SAS, SQL, and SPSS modelling with advanced knowledge of statistical data analysis in healthcare, biotechnology, agricultural, and banking industries. Expertise in data warehousing, data modeling, database development and ETL extract from relational database like SQL, Oracle.

TECHNICAL SKILLS

Operating systems: UNIX, Linux, windows and IOS

Web Technologies: HTML, Adobe Dream Viewer

MS Office: Word, Excel, PowerPoint, Access and outlook.

Programming Languages: Python, R, SAS, SQL Servers, Java, C++

Databases: Oracle 11g, PL/SQL, SQL Servers, MS Access

Statistical Tools: SAS, SPSS, STATA, R, MS excel

Quality Assurance Tools: QC, QTP, UFT, Selenium, MSQC

Data Visualization Tools: Tableau, MS Excel, Power BI, SAS Visual Analytics

PROFESSIONAL EXPERIENCE

Confidential

Manager, Data Analytics

Responsibilities:

Managing both business intelligence and Data science projects to keep track of progress and impact of initiatives on the revenue generation of the company.
Developing supervised and unsupervised machine learning algorithms for predictive analytics
Analyzing statistical data with SAS, R and Python
Utilizing various SAS procedures like procedures and python libraries for various machine learning project
Developing heavy SQL scripting to extract data from multiple data source within cloud base snowflakes SQL platform and the traditional SQL server through the link server system
Developing interactive Tableau dashboards for stakeholders published on Tableau server
Creating SQL Stored procedures to automate report and dashboards via SSRS and Tableau

Confidential

Informatics Analyst

Responsibilities:

Generating SQL Script to extract Healthcare claims data from SQL Server management studio from various databases and various servers.
Developing advance queries involving multiple table joins with macros and parameters
Performing advance statistical data analysis with SAS, R and Python
Data Modelling and data visualization with python libraries like Pandas, NumPy,Scikit Learn, and Matplotlib
Developing interactive dashboards for presentation using Microsoft Excel and Tableau
Building Six block KPI metrics deck for presentation for end users
Extracting Medicare and Medicaid claims data using SQL script to analyze Per Member Per Month(PMPM) and utilization per 1000 member (UPK) Metrics for Business review report

Confidential

Senior Data Analyst

Responsibilities:

Extracting Healthcare data from SQL Server management studio from various databases and various servers.
Performing various and complex queries to extract quality data from the database
Performing various complex joins to join several tables from different database and different servers
Analyzing Data with SAS, R, SSAS and Microsoft Excel
Built a predictive model to for business decision purpose
Created numerous interactive dashboards for presentation using Microsoft Excel and Tableau
Worked on CMS required monthly and quarterly business report on Medicare and Medicaid Appeals and Grievances cases
Developed the trend report of various Appeals and Grievances types of Medicare and Medicaid Health plans