Transform your data into growth.

Hello! I’m Francisco Agámez, and I offer Data Analytics and Data Science solutions to business, I leverage data-driven insights to craft strategies that fuel your business’s success.
I live and breathe technology, with a special focus on machine learning, Python, SQL, and data visualization using Power BI and Looker. A lifelong learner, I’m always driven to explore new tools and techniques that can elevate the impact of every project I touch.
Francisco A. G
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My Time Zone
Bogotá, Colombia / UTC-5
My GitHub
Education
Data Science
2023 – 2024
Henry bootcamp
Bachelor in Marketing
2015 – 2019
EAN University, Colombia
e-commerce
2014
Interlat – Pontificial Bolivarian University
Digital Marketing
2014
Interlat – Pontificial Bolivarian University
Graphic Design, Digital Animation and Web Design
2003 – 2005
LaSalle College
Experience
Data Protection Officer
August 2023 – 2024
As a Data Protection Officer, I was responsible for ensuring that the company processed personal data in compliance with applicable data protection laws and regulations. My main responsibilities included compliance monitoring, risk assessment, staff training and awareness, liaison with supervisory authorities, and providing advice and guidance.
Contact center implementation and consultancy
March 2020 – 2024
Improved customer call center’s efficiency by 50% through process optimization and implemented VoIP solutions for omnichannel service, increasing customer satisfaction by 40%. These metrics were the product of a constant evaluation of CDR (Call Detailed Record) for interactions and were visualized on a Dashboard made with Microsoft PowerBI.
Chief Marketing Officer (CMO)
March 2017- 2020
As CMO at a digital marketing agency, I orchestrated transformative strategies for clients across branding, online advertising, SEO, web design, and e-commerce. I thrived on crafting tailored solutions, balancing budgets, and setting ambitious yet achievable KPIs. My role fused creativity, analytics, and strategic thinking.
Projects on
Data Analytics and Data Science Solutions
Collaborative Analysis of the Los Angeles Restaurant Market: A Team Effort
In a recent project, I collaborated with a team of five data scientists to develop an…
Analyzing Traffic Accidents in Buenos Aires: A Data-Driven Approach
In this project, I focused on analyzing traffic accidents in the Autonomous City of Buenos Aires…
Leveraging MLOps for a Steam Video Game Recommendation System
As a Data Scientist, my latest project involved developing a comprehensive video game recommendation system for…
Weapons of Math Destruction: How Big Data Increases Inequality and Threatens Democracy – An overview of the book written by Cathy O’Neil.
In an age where data reigns supreme, it has become a driving force in decision-making for…
Collaborative Analysis of the Los Angeles Restaurant Market: A Team Effort
In a recent project, I collaborated with a team of five data scientists to develop an…
Analyzing Traffic Accidents in Buenos Aires: A Data-Driven Approach
In this project, I focused on analyzing traffic accidents in the Autonomous City of Buenos Aires…
Leveraging MLOps for a Steam Video Game Recommendation System
As a Data Scientist, my latest project involved developing a comprehensive video game recommendation system for…
Weapons of Math Destruction: How Big Data Increases Inequality and Threatens Democracy – An overview of the book written by Cathy O’Neil.
In an age where data reigns supreme, it has become a driving force in decision-making for…
Collaborative Analysis of the Los Angeles Restaurant Market: A Team Effort
In a recent project, I collaborated with a team of five data scientists to develop an…
Analyzing Traffic Accidents in Buenos Aires: A Data-Driven Approach
In this project, I focused on analyzing traffic accidents in the Autonomous City of Buenos Aires…
Leveraging MLOps for a Steam Video Game Recommendation System
As a Data Scientist, my latest project involved developing a comprehensive video game recommendation system for…
My Services
01
Data cleaning and preprocessing
Enhance data quality with cleaning and preprocessing for accurate, actionable insights.
02
Exploratory Data Analysis (EDA)
Uncover hidden patterns and trends with in-depth exploratory data analysis (EDA).
03
Predictive Modeling
Forecast future outcomes with precision using advanced predictive modeling techniques.
04
Dashboard creation
Visualize data insights effectively with customized, interactive dashboards.
05
Machine learning pipelines
Streamline workflows with efficient, automated machine learning pipelines for robust models.
06
Data collection and web scraping
Gather and extract valuable data from websites with expert data collection and web scraping.