Jesus Felipe Sepulveda Alvarez

Jesus Felipe Sepulveda Alvarez

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Tolima Department, Colombia

Contact Jesus regarding: 
Flexible work
Starting at USD10/hour

Timeline


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Résumé


Jobs verified_user 0% verified
  • MOX
    DATA ENGINNER public Remote experience
    MOX
    Sep 2024 - Feb 2025 (6 months)
    • Cleaned and analyzed geospatial data to assess credit risk.
    • Integrated satellite imagery and map data to support loan decision-making.
    • Supported the development of a machine learning model using GCP and Python.
    • Utilized Google Workspace tools, including Google Sheets for organizing ETL task tracking, Google Docs for documenting pipeline processes and team guidelines, and Google Drive for managing data files and sharing project resources with cross-functional teams, which enhanced collaboration, clarity, and overall project efficiency.
  • Z
    DATA ANALYST public Remote experience
    Zumma
    Jun 2024 - Sep 2024 (4 months)
    • Recorded and managed financial transactions, supporting real-time data cleaning and analysis.
    • Created interactive dashboards and reports for strategic decision-making using Power BI.
    • Maintained detailed inventory control and monthly tax documentation.
    • Utilized Google Workspace daily to organize and share dashboards (Google Sheets, Docs, Slides), manage data reports, and collaborate with the team in real time.
    • Employed CRM tools to extract and analyze customer data, aiding marketing and sales teams in enhancing client targeting and engagement strategies.
    • Leveraged task management platforms like Trello and Asana to track the progress of analytics projects and coordinate deliverables across depart
  • Géminis
    Administrative Accounting Assistant
    Géminis
    Jan 2018 - Oct 2022 (4 years 10 months)
    Managed sales, purchases, payments, and the company’s accounting reports.
    • Prepared financial statements, reconciliations, and tax declarations.
    • Implemented improvements in inventory control and document organization.
    • Utilized Google Workspace, including Gmail, Google Sheets, and Google Calendar, to effectively manage communications, financial data, and scheduling of meetings and deadlines.
    • Ensured prompt and organized email management, facilitating communication with suppliers, clients, and internal departments.
    • Provided executive assistance to upper management by preparing reports, organizing files, and coordinating appointments.
    • Handled calendar management for the accounting team, tracking t
  • T
    Administrative and Accounting Assistant
    Telinda S.A
    Jun 2017 - Jun 2023 (6 years 1 month)
    • Handled the company’s accounting with accuracy and regulatory compliance.
    • Managed inventories and presented periodic financial reports.
    • Engaged in customer communication by directly interacting with clients, suppliers, and banks, addressing inquiries, coordinating payments, and managing procedures, which enhanced my ability to communicate clearly and professionally while maintaining a solution-oriented approach.
    • Utilized email management skills to effectively coordinate with suppliers, process invoices, and respond to inquiries in a timely manner, ensuring smooth communication flow.
    • Implemented calendar management to keep track of accounting deadlines, meetings, and payment schedules, contributing to th
Education verified_user 0% verified
  • Henry
    data scientist
    Henry
    Feb 2024 - Jul 2024 (6 months)
    Skills: Ciencia de datos · Análisis de datos
  • S
    Cientifico de datos
    SOY HENRY BOOTCAMP
    Feb 2024 - Aug 2024 (7 months)
    data scientist
  • Platzi
    Curso de Pensamiento Lógico: Algoritmos y Diagramas de Flujo
    Platzi
    Jan 2023
    en este curso usamos la plataforma de GitHub
  • Universidad cooperativa de Colombia
    contador publico
    Universidad cooperativa de Colombia
    Feb 2015 - Jun 2020 (5 years 5 months)
    Skills: Análisis de datos
Projects (professional or personal) verified_user 0% verified
  • A
    ANALYSIS OF AIRBNB'S BUSINESS MODEL
    Jul 2024 - Aug 2024 (2 months)
    This project aims to conduct a thorough analysis of Airbnb data to identify investment opportunities. Through this analysis, we aim to better understand market trends, the factors influencing property success, and the areas with the highest potential for profitability.

    To achieve this objective, we will use data provided by Airbnb, which will undergo an extraction, transformation, and loading (ETL) process to ensure its integrity and quality. Subsequently, an exploratory data analysis (EDA) will be conducted using Python to uncover patterns, relationships, and key characteristics of the data.
  • D
    DataLogic_NY_taxis
    Jun 2024 - Jul 2024 (2 months)
    Project that aims to analyse the databases of new york taxis, electric cars accepted as taxis, noise and air pollution in order to help future customers make effective decisions when changing their taxi fleet, through predictive, recommendation and chat bot models that facilitate their choice.
  • R
    Road Accidents
    Jun 2024 - Jul 2024 (2 months)
    In this project, we are assigned the role of data analysts to generate valuable information on the evolution of road crashes in the City of Buenos Aires between 2016 and 2021. To do so, we will use a dataset in xlsx format containing two sheets: events and victims.
  • D
    DataLogic_NY_taxis
    Jun 2024 - Jul 2024 (2 months)
    Project that aims to analyse the databases of new york taxis, electric cars accepted as taxis, noise and air pollution in order to help future customers make effective decisions when changing their taxi fleet, through predictive, recommendation and chat bot models that facilitate their choice.
  • v
    video_games_recommend
    May 2024 - Jun 2024 (2 months)
    This project covers all phases of the lifecycle of a Machine Learning project. The final result is an API deployed in Render, which allows queries to be made to the records of a database of the Steam platform. In addition, a video game recommendation model was developed based on cosine similarity, also accessible through the API.