Gerardo Barajas Sánchez
Monclova, Coahuila
Summary
Data Science Engineering and Mathematics, I am passionate about process improvement. Seeing what others see every day, analyzing it and thinking differently when I see it. I have strong adaptability, effective communication and problem solving skills. My critical thinking and teamwork, along with my professional integrity, drive continuous improvement and strategic ideas, showing a commitment to excellence and impactful results. I believe perseverance can do it all and I stand for the phrase “I don't know it all but I'm on a quest to learn it”.
Overview
4
4
years of professional experience
Work History
Analysis of Pollutants in the City of Monterrey
02.2020 - 07.2020
- Pollutant Analysis with Data Science: We performed a cluster analysis to determine which pollutants or variables affect the climate in a specific region of the city of Monterrey.
- Contributed to strategic planning processes by providing valuable input on potential growth opportunities and areas for improvement within city operations.
- Collaborated with interdepartmental teams on special projects aimed at enhancing city services and addressing community needs.
Classification of cancer patients
08.2020 - 12.2020
- Cancer patient data classification project: By means of different classification algorithms, it is possible to separate by the different characteristics of each of the patients' entries in order to determine their future treatment.
- Conducted case finding to maintain complete cancer registry database.
- Participated in professional development opportunities to stay current with industry trends, best practices, and advancements in oncology care.
- Supported quality improvement initiatives by performing ongoing audits of registry data to identify discrepancies or omissions.
Decision making by covid-19
02.2022 - 07.2022
- Statistical analysis for decision making in patients with COVID-19: The aim of this study is to test whether having chronic renal problems is a factor contributing to the increased risk of dying from COVID-19, in addition to performing a statistical analysis of mortality from COVID-19 and the factors that most influence it, such as age and sex.
- Led cross-functional teams to identify opportunities for improvement and implement solutions.
- Streamlined supply chain operations through data-driven insights, reducing costs and improving efficiency.
- Created visualizations of complex data sets for easy interpretation by non-technical stakeholders.
- Integrated machine learning and predictive analytics into tasks.
Improvement of the predictive model for Aimbridge
08.2023 - 12.2023
- Improvement of the predictive model with generation of a new variable and deployment of a web app for visualization of results using Python with different libraries, especially Streamlit for the webapp.
- Skilled at working independently and collaboratively in a team environment.
- Assisted with day-to-day operations, working efficiently and productively with all team members.
- Passionate about learning and committed to continual improvement.
Education
Associate of Applied Science - Data Science Engineer
Tecnológico De Monterrey
Monterrey, Nuevo León, Mexico07.2024
Skills
- Professional integrity
- Versatility
- Assertive communication
- Critical thinking
- Continuous improvement
- Teamwork
- Problem solving
- Process and data analysis
Languages
Spanish
Bilingual or Proficient (C2)
English
Upper intermediate (B2)
Timeline
Improvement of the predictive model for Aimbridge
08.2023 - 12.2023
Decision making by covid-19
02.2022 - 07.2022
Classification of cancer patients
08.2020 - 12.2020
Analysis of Pollutants in the City of Monterrey
02.2020 - 07.2020
Associate of Applied Science - Data Science Engineer
Tecnológico De Monterrey
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