Juan Ospino

Juan Ospino

About

Detail

Data Science| Data Analyst | Mechanical Engineer | Empowering data driven decisions.
Envigado, Antioquia, Colombia
Contact Juan regarding: 
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Full-time jobs
Starting at USD1.5k/month
Flexible work
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Internships
Starting at USD600/month
groups
Networking

Timeline

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Job
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Education

Résumé

Jobs verified_user 0% verified
  • Mint Data
    Data Engineer public Remote experience
    Mint Data
    Jun 2025 - Current (1 year 1 month)
    Acting as a Data Engineer solving complex problems involving custom solutions for clients.
  • EAFIT
    Research Assistance
    EAFIT
    Jan 2024 - Current (2 years 6 months)
    • Participated in the logistical coordination of the research group, acquiring spaces, managing calendars, and preparing invoices. • Contributed to adding new members for the different subsystems of the research group. • Utilized Python programming skills to analyze meteorological data for the feasibility of wind turbines, employing data scraping and visualization techniques with Matplotlib and Seaborn. This included data cleaning and statistical analysis, which enhanced the overall research quality and informed decision-making processes. Additionally, I leveraged Google Drive and Google Workspace to create and present documents, ensuring effective communication and collaboration within the team. The use of AI tools like ChatGPT was ins
  • EAFIT
    Academic Assistant
    EAFIT
    Jan 2024 - Jun 2024 (6 months)
    As an Academic Assistant, I contributed theoretical and practical inquiries to two courses on Finite Element Methods, engaging with over 15 students to enhance their understanding of the subject. I also provided exceptional customer service by coordinating accommodations for research trips undertaken by myself or the lead professor, ensuring a smooth and efficient experience for all involved. My proficiency in Microsoft Excel allowed me to manage tabular data effectively while assisting a research professor, which enhanced the organization and analysis of course-related information. Additionally, I contributed to a codebase for time series analysis of a meteorological dataset, demonstrating a foundational understanding of data science princ
  • EAFIT
    Mechanical Engineering Intern
    EAFIT
    Jul 2023 - Current (3 years)
    • Collaborated in designing the internal structure of the blade for a horizontal-axis wind turbine (HAWT) using composite materials. • Redesigned an electro-solar facade according to the Colombian Seismic-Resistant Standard (NSR-10), optimizing the final structure weight by 8% and reaching TRL level 5. • Conceptualized meteorological data analysis to characterize the wind turbine installation site at the EAFIT Llanogrande campus, utilizing large volumes of data (more than 10M entries) to enhance the project's accuracy. • Presented at the Encuentro Regional de Semilleros de Investigación (RedCOLSI) on the meteorological analysis project, scoring 79 points. • Coordinated the group's invoicing, calendars, supplier's database, clas
  • Independent
    Data Analyst, Data Scientist, Data Engineer
    Independent
    Oct 2021 - Current (4 years 9 months)
    As a Data Analyst, Data Scientist, and Data Engineer, I analyzed large datasets to detect patterns and trends, consistently presenting results with an accuracy above 75%. I created infographics to visualize analytics performance and developed actionable insights from a comprehensive set of 20K data points. My experience spans over 10 projects across various disciplines, including Marketing, Economics, and Motorsports, where I extracted and consolidated disparate data points to generate insights that informed strategic decisions. I utilized SQL for data management and employed REST API for data acquisition from various sources, leveraging TypeScript, JavaScript, and JSON in the process. My primary programming language throughout my experienc
  • K
    EAFIT
    Mechanical Engineering Intern
    Kratos-EAFIT Program, EAFIT
    Aug 2021 - Current (4 years 11 months)
    As a Mechanical Engineering Intern, I collaborated in developing a winning strategy for the ILUMEN challenge, achieving the fastest lap in the category with a 2-second lead. I assisted in designing an electric vehicle that significantly optimized maintenance operations, eliminating the need to transport 50 kg wheel carts across the university. My application of Finite Element Modeling techniques optimized fastening mechanisms, reducing weight by up to 12% without compromising performance. I implemented the seatbelt system design for the Electric Traction Vehicle, which secured 4th place in the III National Electric Traction Vehicle Competition, and contributed to the brake system design for the last-mile transport vehicle for Postobón, faci
  • Lyft
    S
    Customer Service Representative
    Lyft, Stonegate Insurance
    Jul 2018 - Jun 2021 (3 years)
    Provided assistance to travelers and drivers, effectively managing compliance issues through emails and phone calls. Additionally, utilized Microsoft Excel to work with dashboards regularly, tracking progress and ensuring that all customer service metrics were met efficiently. This analytical approach enhanced our ability to respond to customer needs and improve overall service delivery. Furthermore, I contributed to revenue operations by performing revenue analysis as part of the operations team, which provided valuable insights into our service performance and customer satisfaction levels.
Education verified_user 0% verified
  • DataCamp
    Data Scientist
    DataCamp
    Feb 2023 - Nov 2023 (10 months)
    My journey as a data scientist started with a fascination for patterns and systems — I was always asking how things work and how data reveals the “why behind.” Over time I learned to import, clean, and visualize datasets using Python, pandas, NumPy, and libraries like Seaborn and Matplotlib. At DataCamp I explored the Data Analyst in Python track, which emphasized EDA, hypothesis testing, and combining data sources through pandas. I’ve built dashboards, performed statistical analyses, and used SQL to query relational data. Now I’m focused on applying machine learning tools like scikit-learn to deliver insights that matter. I’ve learned to purposefully transform raw data into stories that support decision-making and business outcomes.
  • DataCamp
    Data Engineer
    DataCamp
    Jan 2023 - Jul 2023 (7 months)
    Switching into data engineering I discovered how the plumbing behind data actually works. The Data Engineer in Python track from DataCamp dives into building ETL pipelines, automating workflows with Apache Airflow, and designing robust data architectures. In my work I’ve used Python to extract and structure data from APIs, relational databases and bulk files, used SQL to create normalized schemas, and automated task scheduling and quality checks. I’ve learned how to build systems that make large-scale analytics possible—creating foundations that ensure data is reliable, scalable and ready for consumption.
  • EAFIT
    Mechanical Engineering
    EAFIT
    Jul 2021 - Current (5 years)
    Collaborated in a multidisciplinary team, which engineered more than 3 vehicles with social and performance applications. Facilitated coding solutions and insight to more than 10 data analysis projects. Obtained 2nd place in the final Finite Element Method project, achieving an average error of 12%. Researched on biomimetic features for Horizontal Axis Wind Turbines. Participated in the design of suspension components for a Last Mile Distribution Vehicle for a commercial partner. Engineered the safety and harness system for an Electric Trike set to compete in Colombia. Accomplished the Certified SolidWorks Simulation and Mechanical Design Associate certifications.
  • DataCamp
    Data Analyst
    DataCamp
    Feb 2021 - Feb 2022 (1 year 1 month)
    As a Data Analyst, I was responsible for collecting, processing, and analyzing large datasets to derive actionable insights that informed business decisions. I utilized various analytical tools and techniques to identify trends and patterns, ultimately enhancing operational efficiency. My stronghold in Python, developed through extensive coursework at my university and Datacamp, allowed me to perform complex data manipulations and automate reporting processes effectively. Additionally, I gained foundational knowledge in Java through introductory courses, which provided me with a broader understanding of programming concepts that can be applied in data analysis contexts.