Wendy Estefanía Chicaiza Vásquez
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Wendy Estefanía Chicaiza Vásquez

Wendy Estefanía Chicaiza Vásquez

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Detail

Analista de Datos | Python | SQL | Business Intelligence | Economista | Impacto social | Voluntaria Educativa
Provincia de Pichincha, Ecuador

Contact Wendy regarding: 
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Full-time jobs
Starting at USD800/month

Timeline


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Résumé


Jobs verified_user 0% verified
  • C
    Credit Factory Verifier
    Cooperativa de Ahorro y Crédito Cooprogreso
    Jan 2024 - Current (2 years 7 months)
    • Analyze and manage credit databases for microcredit and consumer credit processes. • Optimized the verification flow, reducing the average analysis time per call from 15 to 10 minutes. • Analyze credit information to recommend restructuring and refinancing processes, considering payment capacity, credit history, and internal policies. • Analyzed credit deferment cases, verifying compliance with policies and required documentation. • Register, clean, and manage credit exceptions, ensuring information consistency and traceability. • Cross-reference credit portfolio information and exception databases to generate reports segmented by client type (A, AA, AAA, VIP). • Prepare tables and reports that serve as input for control and monitoring re
  • Independent professional
    Business Analyst Assistant
    Independent professional
    Apr 2023 - Nov 2023 (8 months)
    • Guaranteed the integrity and quality of financial information through rigorous data cleaning and validation processes, eliminating inconsistencies that improved the reliability of final reports by 30%. • Researched and analyzed market factors and external variables explaining variations in financial models, providing the critical context necessary for executive reports to be actionable. • Developed automated Excel templates for data upload standardization, reducing report preparation time by 35% and minimizing human error in projections.
  • M
    Financial Assistant Intern
    Metalinmega S.A
    Nov 2021 - Feb 2022 (4 months)
    • Analyzed financial information to support accounting and administrative management, optimizing balance sheet accuracy by 20%. • Prepared liquidity and obligation compliance reports, improving efficiency in monthly accounting closures. • Collaborated with the accounting team in document review and reconciliations, strengthening financial traceability and internal control.
Education verified_user 0% verified
  • E
    Ecomienza Program: Training and Initiation in Applied Research
    Jul 2025 - Aug 2025 (2 months)
  • L
    Women CISO Cybersecurity
    Lorena Bravo and Thiago Crote
    Feb 2025 - Jun 2025 (5 months)
  • T
    Data Analyst Program
    TripleTen Data Science
    Jan 2025
    Covers Python, SQL, standard data analysis methods and applications, and involves the completion of 12 projects based on real-world data.
  • T
    Web Developer
    Tipti Tech Academy
    Jan 2024
    74 hours
  • L
    Diploma in Data Analysis
    LIDE and the U.S. Embassy
    Mar 2023 - Dec 2023 (10 months)
  • E
    Women in Data Science
    Ecuadorian Statistics Society
    Jan 2023
    12 hours
  • D
    Innovating Together Workshop: AI, open government, and women
    DataLat.Org
    Jan 2023
    20 hours
  • D
    DataCamp, Courses in Excel, Power BI, R, and SQL
    Jan 2022 - Jan 2024 (2 years 1 month)
  • Universidad Central del Ecuador
    Economist
    Universidad Central del Ecuador
    Jan 2018 - Jan 2023 (5 years 1 month)
Projects (professional or personal) verified_user 0% verified
  • W
    Nuvia Cyberlab
    Women CISO
    Jan 2025
    Objective: Design a secure fintech to promote financial inclusion and serve as a testbed for cyberattacks. Technologies: Python, SQL, Data Management, Prototyping, and Cybersecurity Foundations. Results: Mitigation of 80% of common vulnerabilities in fintech systems and a 30% increase in accessibility for unbanked female users.
  • S
    Service Cancellation Prediction
    Jan 2025
    Objective: Develop a Machine Learning model to predict customer churn probability and design retention strategies. Technologies: Python (Pandas, Scikit-learn), CatBoost, LightGBM, Feature Engineering. Results: Model with 91% accuracy and 0.94 AUC-ROC; 3 strategies were designed with the potential to reduce annual cancellations by 25%.
  • M
    Most Successful Video Games of 2016
    Jan 2016
    Objective: Analyze historical sales data to identify platforms and genres with the highest commercial potential. Technologies: Python (Pandas, Matplotlib, Seaborn), EDA, and Statistical Testing. Results: Identification of key platforms (PS2, X360, PS3) and optimization of the study period, improving model accuracy by 22%