Cesar Augusto Jimenez

About me

I am a data enthusiast with a bachelor’s degree in Economics, a master’s degree in Mathematics, and +5 years of experience in designing and maintaining KPIs to extract meaningful business insights from data. Passionate about using data-driven and innovative solutions on cross-functional, complex business problems. Proficient in statistical modelling, data visualisation, data scraping and wrangling.

I was introduced to programming during high school at Instituto Tecnico Salesiano (ITESA), where I experienced with several technologies such as Java, C++, Visual Basic, database engines and many more. Being exposed to many different technologies taught me how to tackle problems regardless of the tools used. Later, when I completed my bachelors degree in Economics and my masters degree in Mathematics, I learnt how to try to model the world as a way to understand it.

I'm currently working as a senior data specialist for the National Competitivenes Council analysing a wide spectrum of topics aiming to increase the Dominican economy's competitiveness.

Some of the technologies I'm familiar with are:

• R
• Python
• Git
• SQL
• Excel

• See my resume

Senior Data Especialist

National Competitiveness Council

• Analysed widespread topics regarding the increase of national competitiveness and productivity.
• Developed and maintained the institutional repository of KPIs, and its pipeline, using Python to web scrape data from various sources (including the World Bank API and some semi-structured data, such as that from the Dominican Republic Central Bank), and stored it in a MySQL server.
• Took part on a cross-functional team to select and prioritise 5 industrial sectors as the Dominican Government main focus for foreign direct investment, infrastructure development and promotion, both nationally and abroad.

Data Especialist

Ministry of Economy, Planning and Development

• Performed various ad hoc analysis, such as selecting 101,743 households as welfare recipients to soften the initial COVID-19 effects on those most affected.
• Maintained the data pipeline of egresa.do, a portal aiming to inform citizenry about wages and employment rates prospects for over 250,000 annual forthcoming higher education undergraduates, using a combination of Python and R to extract, transform and load data from various sources.
• Designed and maintained various informative dashboards on display on MEPyD’s webpage, using Power BI as visualisation tool and a combination of Python and R to web scrape and unify data from various sources.

Commercial Analysis Manager

CMI Food and Mass Market Consumption - Molinos Modernos

• Increased annal sales by USD 668k while maintaining the costs of distribution by adding 1,800 new customers and optimising visit frequency and routing schema.
• Oversaw the product pricing strategy and follow-up, alongside the marketing department.
• Successfully led the project to geolocate all 27,041 customers nationwide.
• Designed, along with a cross-functional team, the set of 15 commercial KPIs used to measure and compensate the 78 sales representatives nationwide.
• Cascaded national sales goals down to regional managers, supervisors, and sales representatives, along with all commercial KPIs.
• Drafted and built informative dashboards, using Power BI as visualisation tool, and connected to an Oracle Database.