Background

JOALHÉ CEVIR YIKA MEDRANO

Economics Student (PUCP) • Macroeconomics • Data Analysis

About

About Me

I’m an 8th-semester Economics student at PUCP, interested in macroeconomics and statistical analysis. I enjoy working on economic/financial analysis, market research, and reporting. I use Excel, Python, and Stata to automate workflows and analyze data.

Profile photo

Economics • Data • Applied Research

Focused on macroeconomics, applied econometrics, and computational tools for research and public policy.

  • Location: Lima (Pueblo Libre)
  • University: Pontificia Universidad Católica del Perú
  • Email: jyika@pucp.edu.pe
  • Phone: +51 983733611
  • Languages: English B2 • French A2.5 • Mandarin (basic)
  • Availability: Internships / Academic Projects

I completed intensive training at QLAB-PUCP (Machine Learning and Advanced Applied Econometrics), and I participate in Económica (PUCP) supporting reporting, documentation, and social impact initiatives.

Resume

Resume

Education, experience, certificates, and key information.

Summary

Joalhé Cevir Yika Medrano

Economics student (PUCP) with interests in macroeconomics and statistical analysis. Experience in automation and analysis using Excel, Python, and Stata; reporting and applied research proposals.

  • Lima (Pueblo Libre)
  • +51 983733611
  • jyika@pucp.edu.pe

Education

Pontificia Universidad Católica del Perú (PUCP)

Mar 2021 – Dec 2026

B.A. in Economics

  • Highlights: Intermediate Macro Econometrics (Top 5), International Economics (Top 4), Research Seminar (Class Rep.).
  • Class representative for core courses (History of Economic Thought, Research Seminar).

Certificates

ECCE – University of Michigan

English B2

International English certification (B2 level).

QLAB-PUCP – Introduction to Machine Learning (Public Management & Social Sciences)

Supervised/unsupervised learning applied to research and public policy.

QLAB-PUCP – Advanced Applied Econometrics

DiD, SCM, IV, RD, Causal Forest, and evaluation design.

INFOPUC – Microsoft Excel (Advanced)

Spreadsheet automation and advanced functions.

INFOPUC – Python for Machine Learning

Python fundamentals applied to ML.

Experience (Training & Associations)

QLAB-PUCP – AI & Computational Methods Lab

Jan 2025 – Mar 2025

Economics Track (Half Scholarship)

  • Intensive training in programming and research-focused tools.
  • Machine Learning: proposal on labor informality in Peru using ENAHO.
  • Advanced Applied Econometrics: DiD, SCM, IV, RD, and Causal Forest in real cases.
  • Project: evaluation of “Trabaja Perú” by regions using DiD (MTPE).

Económica (PUCP) – University Social Responsibility

Aug 2024 – Present

Volunteer • Fundraising Coordinator (Aug–Dec 2024)

  • Prepared reports and compliance minutes for projects.
  • Participated in social initiatives (e.g., beach/school cleanups).
  • Supported group formalization and administrative procedures (SENAJU/RENOJ).
  • Produced outreach materials on environmental/social responsibility and ongoing projects.

Languages

  • English: B2 (ECCE, PET, KET)
  • French: A2.5
  • Mandarin Chinese: Basic 2
Skills

Skills

Tools and soft skills.

Software

Advanced: Python, Excel, Office, LaTeX

Intermediate: EViews, MATLAB, Stata

Basic: R, SQL, Power BI

Areas of Interest

Macro • Applied Econometrics • ML for Public Policy • Reporting Automation • Market Research & Financial Analysis

Analytical Thinking

Evidence-driven approach to structure problems and communicate results clearly.

Teamwork

Experience coordinating and collaborating on academic and association projects.

Problem Solving

Using quantitative tools to solve tasks and improve processes efficiently.

Leadership

Leading initiatives and coordinating teams to deliver results under deadlines.

Projects

Projects

Examples based on research proposals (you can add links to GitHub/Drive).

ML + ENAHO: Labor Informality

Proposal to estimate the probability that a university student enters and remains in the informal sector using supervised/unsupervised learning techniques.

  • Dataset: ENAHO
  • Tools: Python
  • Suggested output: notebook + executive brief

Impact Evaluation: “Trabaja Perú”

Proposal to evaluate program effectiveness by regions using Difference-in-Differences (DiD).

  • Dataset: MTPE (reference)
  • Tools: Stata / Python
  • Methods: DiD (+ extensions)
Contact

Contact

You can reach me through email or phone, and via my social profiles.

Location

Lima, Peru

Phone

+51 983733611

Email

jyika@pucp.edu.pe