My Resume
Adrian
Hernandez-del-ValleEconometrician · Independent researcher · Founder of Windrose
- ahdv@hotmail.com
- ahdelvalle@gmail.com
- https://www.linkedin.com/in/adrian-hernandez-del-valle-576a7028/
- +1 514 208-5677
Professional Summary
Econometrician and independent researcher with 20+ peer-reviewed publications and SNI Level 1 status. Founder of Windrose, the independent audit of Canada’s precipitation monitoring infrastructure. PhD in Economic Sciences (IPN), MA in Statistics (Columbia), MSc AI (UPC Barcelona). Trilingual: English, Spanish, French. Based in Montreal.
Skills
- • Machine Learning & Deep Learning: Neural Networks (Transformer, Siamese, CNN, RNN, LSTM), Big Data Analytics
- • Programming: Advanced proficiency in Python, SQL
- • Forecasting: Electric load and demand prediction (20% improvement in accuracy)
- • Natural Language Processing: Similarity detection, entity recognition, qualitative speech analysis
- • Languages: Fluent in English, Spanish, and French
Education
MAY 2020 TO MAY 2021
Master of Artificial Intelligence/OBS Business School and Universidad Politecnica de Cataluña, Spain/ apostilled
AUGUST 2006 TO MAY 2007
Master of Arts in Statistics / Columbia University, USA/ apostilled
AUGUST 2001 TO JUNE 2004
Ph.D. in Economics / School of Economics/Instituto politecnico nacional, Mexico/ Validated by WES
OCTOBER 2001 TO SEPTEMBER 2003
Master of Business Administration / Instituto Panamericano de Alta Direccion de Empresa – IPADE, Mexico
AUGUST 1999 TO JUNE 2O01
Masters of Science in Economics – Specialization in Financial Economics / School of Economics /Instituto politecnico nacional, Mexico
Work Experience
FROM NOVEMBER 2025 – TO PRESENT
- Launched the first independent station-level reliability assessment of Environment and Climate
- Change Canada’s precipitation monitoring network (April 2026)
- Audited 8,374 stations across 12 provinces and territories using methodology specified by the office of Minister Julie Dabrusin
- Publishing commercial reports for actuarial firms, crop insurers, engineering consultancies, and provincial agencies
- Findings: 81.2% of stations decommissioned; 1 in 4 active stations with transmission issues; average data quality 52.95%
- windrose.news
FROM MAY 2023 – TO PRESENT
- Lead advanced courses in econometrics and machine learning for 35+ PhD and MSc students
- Developed and deployed production-ready GenAI solutions:
- RAG-based mathematical system using FAISS, Python, and AWS
- Multi-agent content generation platform with GPT-4 and DALL-E 3
- Advanced NLP systems for translation (75% efficiency improvement)
- Technologies used: Python (TensorFlow, PyTorch), AWS, OpenAI APIs, FAISS, Streamlit
- Published 4 technical articles on ML applications in industrial settings
FROM MARCH 2021 – TO MAY 2023
This company provides consulting services in artificial and business intelligence.
- Architected and deployed NLP projects, improving efficiency and accuracy by 25%
- Engineered a system using Transformers and Siamese Neural Networks, ensuring 100% adherence to call scripts for pollsters and bank call centers
- Developed algorithms to identify non-compliant phone operators, eliminating fraudulent activities and generating significant cost savings
- Implemented advanced named entity recognition techniques for critical information extraction
- Led cross-functional teams across multiple industries, driving innovation in forecasting strategies
JANUARY 2018 – TO FEBRUARY 2021
ESTA International is an organization with a vast number of international clients across the globe. They select top performing professionals to service government agencies, research and development institutions and transmission/distribution utilities. The Independent Market Monitor provided surveillance of the Mexican Electricity Wholesale Market (MEM) ensuring affordable electricity prices to customers.
- Spearheaded data science techniques implementation, revolutionizing big data problem-solving in the Mexican Electricity Wholesale Market (MEM)
- Engineered anomaly detection algorithms, significantly improving forecast accuracy and market predictions
- Pioneered Local Marginal Price (LMP) and demand forecasting models, enhancing market surveillance capabilities
- Authored comprehensive reports for the Energy Regulatory Commission (CRE), influencing positive regulatory changes
- Orchestrated a team of 36 professionals, achieving unparalleled market surveillance efficiency and substantial cost savings
Adrian
Hernandez
del-ValleEconometrician · Independent researcher
Core Competencies
- • Advanced Natural Language Processing (NLP)
- • Time Series Forecasting and Predictive Analytics
- • Machine Learning and Deep Learning
- • Big Data Analytics and Large-Scale Systems
- • AI-Driven Financial and Market Analysis
- • Data Visualization and Interactive Analytics
Education
MAY 2020 TO MAY 2021
Master of Artificial Intelligence/OBS Business School and Universidad Politecnica de Cataluña, Spain/ apostilled
AUGUST 2006 TO MAY 2007
Master of Arts in Statistics / Columbia University, USA/ apostilled
AUGUST 2001 TO JUNE 2004
Ph.D. in Economics / School of Economics/Instituto politecnico nacional, Mexico/ Validated by WES
OCTOBER 2001 TO SEPTEMBER 2003
Master of Business Administration / Instituto Panamericano de Alta Direccion de Empresa – IPADE, Mexico
AUGUST 1999 TO JUNE 2O01
Masters of Science in Economics – Specialization in Financial Economics / School of Economics/Instituto politecnico nacional, Mexico
AUGUST 2001 – TO PRESENT
Professor | School of economics of the Instituto Politecnico Nacional, Mexico
Instruct
Master’s and PhD students in advanced econometrics, Python programming, machine
learning, deep learning, and data science
August 2008 – June 2011
Delivered acclaimed econometrics courses, earning
recognition for teaching excellence
January 2008 – June 2008
Lecturer | Elliott School of International Affairs, George Washington University, USA
Taught comprehensive courses on the political economy of Latin America
- Windrose: Independent reliability assessment of Canada’s precipitation monitoring network (2026)
- Canadian Agricultural Insurance Research: Conformalized Quantile Regression framework for agricultural commodity risk (RA-CQR/PI-PAVaR)
- Structural Break Analysis of U.S./Americas Grain Commodity Markets: PELT changepoint detection and multicausality voting frameworks
- Trutina (in development): AI-powered academic journal recommender using five-agent adversarial debate architecture