Manickam Somasundaram adkbpc@r.postjobfree.com

**** * **** **, ********, Arizona - 85226 480-***-****

Education

Harrisburg University of Science and Technology October 2017 Master of Science in Analytics GPA: 3.75 Harrisburg, PA Arizona State University December 2012

Master of Science in Industrial Engineering GPA: 3.41 Tempe, AZ Skills

• Seasoned in utilizing programming languages like Python, SAS, R, SQL, MySQL

• Skilled in modelling via Python, Datarobot and H20.ai

• Experienced in using Qlik, Tableau for visualization.

• Proficient in Microsoft Excel, Word, PowerPoint and SQL Workbench

• Soft skills: Good time-management, excellent oral and written communication, adept at problem – solving and an eminent team-player.

Professional Experience

Senior Credit Risk Analyst (August 2017 – present) Plain Green LLC, Scottsdale, Arizona

• Creating and updating credit risk models using Python to develop rules for underwriting strategy which facilitated the reduction of first payment default rates from 18% to 16%

• Monitoring monthly campaign performance of Plain Green LLC’s portfolio to get ahead of unknown aberrations in key performance indicators. One such trend analysis led to the discovery of declining conversion rate

• Creating and updating forecasting models based on historical data and current trends using Python aids the financial team to decide fund allocation

• Periodic risk reports about return on payments, rate of re-engagements and net charge-off ratio using business intelligence tools like Qlik helps leadership make informed decisions. Business Consulting Analyst (June 2015 - August 2017) Healthy Offers Inc, Scottsdale, Arizona

• Created predictive models in Python using yearly healthcare data enabled the organization to identify customer rich micro neighborhoods within US

• EC2 server configurations, data warehousing and database management via Redshift in Amazon Web Services, SAS and SQL facilitated uninterrupted access to data

• Conducted case studies by analyzing the results of digital campaigns using SAS, Google analytics and SQL helped the organization to reduce the campaign cost by 25%

• Prescriptive analysis using Tableau based on historical trends and patterns aided in pinning down top 50 high performance sites. Ad campaigns were hosted on these sites and it led to an increased click-through rate Professional Certifications

Data Scientist with Python from Datacamp September 2017 Distinction in R programming from COURSERA December 2014 SAS Base Programmer for SAS9 from SAS institute October 2012