Rodrigo Gil

Curriculum Vitae Personal Information: • Name: Rodrigo Salvador Gil • Age: 32 • Date of birth : July 13, 1988 • Nationality: US Citizen • Social Security Number:- • Place of birth: Seattle, WA, US. • Marital Status: Single • Address: 3372 Olazábal – Apt. D – (1430) – Buenos Aires – Argentina • Mobile:- • E-Mail:- Profile: Data scientist in the financial and telecommunications industries for over 7 years. My primary focus has been leveraging applied analytics to help companies manage complex problems. Passion for working with big data and professional experience in data mining, statistical analysis, machine learning, predictive modeling and data manipulation. Professional Experience: • October 2018– Present: Business Intelligence Analyst at Columbia Bank. I make dashboards, interactive reports and indicators to measure the results of Commercial Campaigns and the management of the branch network. I apply various data exploitation tools such as SQL, Microstrategy, Power BI, Tableau, SPSS Modeler and SAS. I make databases, automate processes and manage the Datamart of management. I work together with the areas of Data Warehouse and Systems in different projects to improve the processes of data extraction, updating and normalization. • I develop predictive Data Mining models to estimate the probability of customer response to an offer and generate priority lists in calls and automatic messages. I also apply segmentation models to identify profitable customer profiles through appropriate commercial actions. • November 2015 – October 2018: Business Intelligence Analyst at Supervielle Bank. I analyzed and measured Commercial Campaigns performance. I designed and customized databases, Dashboards, Interactive Reports and Indicators in order to measure the effectiveness of the Commercial Campaigns (cross-selling, upselling, acquisition, activation of the product, information, surveys, etc.) and Outbound Call Center management (sales delay times, delays in calling clients from campaign databases, risk of multiple calls to same client, etc.). I developed predictive models in order to maximize the profitability of the commercial campaigns. These models aimed to identify those clients that were more likely to respond to the offer, and thus be able to select them for eventual commercial actions where budget constraints existed. Professional Experience: • March 2014 – October 2015: Churn Intelligence Analyst at DirecTV. I designed and customized Dashboards, Interactive Reports and Indicators in order to measure the proportion of subscribers who leave the company during a given time period (Customer churn). I recommended strategies to increase quality sales and improve preventive campaigns results related to voluntary and involuntary churn rates. I collaborated with marketing, product, pricing, sales, and services teams to solve business problems. I made reports to evaluate the performance of the retention teams and measure the quality of sales among the different channels of the company. I prepared and managed databases for the information process and its subsequent analysis. • September 2012 – February 2014: Tax Analyst at Accenture Service Center S.R.L. I provided tax advice to expatriate staff who were working on different projects for Accenture in North America. I carried out monitoring and control of data of expatriate personnel in order to determine if they were subject to taxation. I compiled and controlled the documentation to be able to determine the taxable base of the assignment abroad and request the tax advisor to estimate the tax costs. • March 2012 – August 2012: Accountant Analyst at Huawei Technologies Investment Co. Ltd. I was part of the Accounts Payable team of the Shared Service Center of Argentina that provides payment services to suppliers for the Huawei branch in Colombia, both in administrative expenses and in engineering. I made accounting records of various commercial documents (invoices, credit notes, purchase orders, etc.) in the system. I was responsible for analyzing and controlling the supporting documentation in the supplier payment process. I collaborated in the monthly countable closing. • April 2006 – July 2006: Professional Practice- Administration and Finance Department at NCR Corporation. Professional practice obtained by contest of academic background in the last year of secondary school. I made management and consultations in the systems of the area, billing and various administrative tasks. Published Work: • Rodrigo S. Gil, Leila Iannelli, Salvador Gil, “Savings of 1.5 GW in electricity consumption peaks: LED lighting”, Petrotecnia ((Journal of the Argentine Institute of Petroleum and Gas). LVI, Nº 5, (pag. 84-96) October (2015). ISSN-. http://www.petrotecnia.com.ar/octubre15/sin/Ahorro.pdf • Rodrigo S. Gil, “The use of LED lamps in Argentina. Potential savings of electric power”, Petrotecnia (Journal of the Argentine Institute of Petroleum and Gas). LV, Nº 1, (pag. 60-61). February (2014). ISSN-. http://www.petrotecnia.com.ar/febrero14/sinpublicidad/Led.pdf • Rodrigo S. Gil, “The use of LED lamps in Argentina”, Revista Megavatios - Edición Número 397, (pag.1416). May (2014). ISSN-X. http://www.edigarnet.com/e_revistas/webmagazine/index.php?pub=megavatios&num=397 • Rodrigo S. Gil, “The greater use of LED lamps in homes would reduce consumption”, Télam S.E.. July (2014) http://www.telam.com.ar/notas/201407/72436-el-mayor-uso-de-lamparas-led-en-los-hogares-reduciria-elconsumo.html Education: • 2014 - 2015: Master in Data Mining and Predictive Analytics - Universidad Austral. General Average: 9. Master Thesis: "Development and application of Data Mining models for Commercial Campaigns in Retail Banking". Thesis Director: Mg. Martin Volpacchio. • 2007 - 2013: Bachelor's degree in Economics Cum Laude - University of Buenos Aires. Thesis: "The economy of potential energy savings: The use of LED lamps in Argentina". Thesis Director: Dr. Fernando H. Navajas. • 2002 - 2006: Instituto Libre de Segunda Enseñanza (I.L.S.E.) High School. High School administered by the University of Buenos Aires (UBA). Skills: Technical Skills: • Excel (macros, VBA, automation, reports, interactive dashboards, dynamic tables, etc.), Access, and other tools in the Microsoft Office package. • SQL language (queries, store procedures, etc.). I apply this language in several database management systems: Oracle SQL, MySQL and Microsoft SQL Server. • SAS Enterprise Guide and SAS Enterprise Miner. • Python. • SPSS Modeler. • MicroStrategy, Power BI and Tableau. Language Skills: • Spanish (native). • English (Advanded level). • French (basic level). • Latin (basic level).