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Carlos Amézquita

Carlos Amézquita

Data Analyst
Bogotá, Bogotá D.C.
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Sobre Carlos Amézquita:

I'm a bilingual (English C1) civil engineer, with knowledge and experience in helping people make significant data-driven decisions and base their approach objectively by extracting, analyzing, and visualizing big data datasets, providing reports and process automation, using advanced excel, SQL in DBMS such as SQLite, PostgreSQL, python programming using Numpy and Pandas, PowerBI and Tableau. Recognized as a team leader with great adaptive capacities always looking for improvement, polyvalent, observant, and decisive. Currently, I'm looking for a challenge that allows me to enhance my learning and my skills regarding data science in a company that promotes professional and personal development.

Experiencia

Teleperformance (Bogotá D.C.) 

Data Analyst (Manager) 12.2022 – 01-2023

Responsibilities: 

- Recollect, analyze, and generate Excel dashboards in order to provide each supervisor an insight into their teams so that they could prioritize the KPIs expectations. 

- Validate action plans for glide path creation regarding KPIs negotiation with the external client. 

- Elaborate reports from the operations results on a weekly basis with external and internal clients by automating processes and strategic decision-making. 

Achievements: 

- Cross-trained all the operation agents so that they could handle the cases from all the lines of business. - Guaranteed all the data extractions and debugging of 90 team members. 

- Handled and analyzed 4800000 input datasets.

Data Analyst supervisor 09.2021 – 01-2023 

Responsibilities: - Create and analyze the KPIs of 20 people team in Tableau dashboards, guaranteeing the expectations of the operations, by structured follow-up and documentation of dataset extraction. 

- Debug and create databases from the prior dataset, by using csv files and tabular information in SQL and Excel.

 - Elaborate reports where the data is visualized in PowerBI by generating dashboards for the stakeholders of objective decision-making. 

Achievements: 

- Provided constant results in the quality KPIs by meeting 98% of accuracy by effectively identifying opportunities in human patterns. - Engaged three new lines of business by providing projections of the results of the operations. - Handled and analyzed 800000 input datasets.

SIE Hydroponic Products | Healthy Lifestyle (Bogotá D.C.) 

Data Research Analyst 01.2021 – 09.2021 

Responsibilities: 

- Extract and build the client database allowing the analysis of the variables for decision-making of the business.

- Debug, and analyze the production database, considering their preferences and needs for optimizing the processes by making queries PostgreSQL. 

- Analyze existing methodologies about hydroponic crop implementation, creating macros to visualize results in Excel. 

Achievements: 

- Made the annual 30% utility in sales by making an analysis of the market's behavior. 

- Generated a 50% increase in production, optimizing the space by reducing 37% of water waste made by a model of the crop demand.

Educación

La Salle University Civil Engineer 2022 

CERTIFICATIONS 

University of Michigan Applied Data Science with Python Specialization 2023 

University of California, Davis Learn SQL Basics for Data Science Specialization 2023 

IBM Data Science Professional Certificate 2022

 Platzi

 Fundamentos de Python 2023 

Thick Data: Oportunidades de Negocio 2023 

Cómo y Por Qué Aprender Data Science e Inteligencia Artificial 2022 

Curso de Análisis de Negocios para Ciencia de Datos 2022

 Análisis de Datos con Power BI 2023 

 

LANGUAGES 

English Proficient (C1) 

Spanish Native

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