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Iván Torres

@ivntorres

Economist and data analyst at IFT who built reproducible pipelines and used forecasting to inform telecom market decisions.

Mexico

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At Instituto Federal de Telecomunicaciones (IFT), I built and maintained reproducible R data pipelines for large economic and regulatory datasets. I used econometrics, time-series analysis, and forecasting to examine market behavior, monitor KPIs, and support decision-making.

I also developed Excel dashboards and automated reporting workflows, translating quantitative findings into clear insights for technical and decision-making teams. Earlier, at Instituto Municipal de Planeación de Guanajuato, I managed integrated databases and applied ARIMA forecasting to socioeconomic indicators.

Experience

Work history, roles, and key accomplishments

Deputy Director of Market Research

Instituto Federal de Telecomunicaciones (IFT)

Jan 2021 - Jan 2025 (4 years)

Built and maintained reproducible data pipelines in R for large economic and regulatory datasets. Applied statistical analysis, econometrics, and time-series methods to generate data-driven insights and support decision-making.

R SQL Python Power BI Excel Data Pipelines Data Quality Statistical Analysis Econometrics Time Series Analysis Forecasting KPI Monitoring Data Visualization Data Storytelling ETL Data Validation Root Cause Analysis

Analyst, Institutional Performance Evaluation

COLMEX / BANOBRAS

Jan 2018 - Dec 2018 (11 months)

Analyzed and validated financial, socioeconomic, and institutional datasets, identifying inconsistencies and supporting the construction of performance indicators. Structured analytical frameworks and synthesized findings into an evidence-based evaluation report.

Data Analysis Data Validation KPI Analysis Performance Indicators Report Writing

Data Analyst

Instituto Municipal de Planeación de Guanajuato

Jan 2017 - Jan 2018 (1 year)

Designed and managed databases integrating survey, administrative, public, socioeconomic, and geospatial data. Performed data cleaning, validation, and applied ARIMA and time-series forecasting in R to monitor socioeconomic indicators.

Database Management Data Cleaning Data Validation ARIMA Time series Forecasting R Geospatial Data