Curriculum Vitae
A narrative of rigor and purpose
Cristian Camilo Moreno Narváez
Data Scientist · AI & Computer Vision · Data Engineering · BI & Analytics
Abu Dhabi, United Arab Emirates
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Languages
- Spanish — Native or bilingual
- English — Professional working
Top skills
Data Engineering, Artificial Intelligence (AI), Computer Vision / OpenCV, Machine Learning, Business Intelligence, Python, SQL.
Executive Summary
Economist (M.Sc., Universidad del Rosario) with 7+ years building analytics and decision systems in Colombian financial institutions, SaaS, and AI programs in the UAE. Career arc: credit and operational risk at Banco de Bogotá, Davivienda, and Qnt (QBK machine learning, ETL automation, portfolio dashboards); BI leadership at Alegra and ABATECH (customer health scoring, ML segmentation, multi-channel marketing pipelines); and currently AI Data Engineer at Presight, focused on computer vision datasets and the ML lifecycle. Bridges BI, data engineering, and applied ML—with research published on automation and Colombia's labor market.
Operating Principles
- Clarity over complexity
- Rigor over speed
- Automate the mundane
- First-principles engineering
Expertise Pillars
Data engineering & business intelligence orchestration
End-to-end pipelines from ingestion to executive dashboards—multi-source integrations, governed ETL, and reporting cadences teams use for weekly and monthly decisions.
- Alegra — standardized SaaS metrics and C-level reporting; +25% ETL efficiency
- ABATECH — Salesforce, Google, Facebook, TikTok, and Bing Ads via Python/APIs
- Qnt — real-time portfolio dashboards on BigQuery and Data Studio
- Allianz — database homologation and renewal tracking workflows
Econometrics, credit & operational risk
Portfolio monitoring, loan-loss provisions, and operational-risk tolerance—grounded in econometric training and thesis research on automation exposure in Colombia's labor market.
- Banco de Bogotá — consumption portfolio tracking; STEM and BNPL policy design
- Loan-loss provision models aligned with regulatory and stability requirements
- Banco Davivienda — VaRO computation, operational loss dashboards (−30% response time)
- M.Sc. thesis linked to automation risk and wage disparities by occupation
Machine learning, NLP & computer vision systems
Models with inspectable inputs and measurable outcomes—segmentation, scoring, and today large-scale video/image pipelines for computer vision at Presight.
- Presight — extraction, cleaning, deduplication, annotation; training and deployment support
- Alegra — ML segmentation for accountants (+20% loyalty program engagement)
- Banco de Bogotá — ML-based customer profiling for risk mitigation
- Qnt — QBK model data quality, pattern analysis, and automated Python extraction (−70% manual work)
Advanced analytics & decision strategy
Statistical models and funnel intelligence that connect market signals to product and commercial strategy—customer health, pricing, and conversion optimization.
- Alegra — customer health score; team leadership (4 analysts) on sales and pricing strategy
- ABATECH — sales funnel boards (+12% lead conversion); georeferencing (−15% wait times)
- Local-economy vs. client-behavior comparative analyses for strategic planning
- Weekly and monthly executive reporting standards across SaaS operations
Career Path
- Feb 2025 — Present
Computer vision & ML data pipelines
AI Data Engineer · Presight
Abu Dhabi, UAE
Building scalable CV data pipelines—extraction, cleaning, deduplication, and annotation of large-scale video and image datasets—with automated analysis and reporting in Python.
- Automated manual data prep, improving dataset quality and delivery speed
- Partnered with applied scientists on production-ready training datasets
- Trained, validated, and supported deployment of CV models vs. prior baselines
- Analyzed model outputs to drive data- and model-level improvements
- Sep 2023 — Jan 2025
SaaS customer health & ML segmentation
BI Senior · Alegra
Remote
Led a team of four on sales, pricing, and strategy analytics—standardizing SaaS metrics for C-level reporting and improving ETL efficiency by 25%.
- Customer health score improving satisfaction and loyalty signals
- ML segmentation for accountants (+20% loyalty program engagement)
- Weekly and monthly reporting standards for executive decision cadence
- Mar 2023 — Sep 2023
Multi-channel marketing intelligence
BI Senior · ABATECH
Medellín, Colombia
Engineered Python/API pipelines across Salesforce, Google, Facebook, TikTok, and Bing Ads; Tableau funnel boards improved lead conversion by 12%.
- Holistic customer-journey analysis from integrated ad platforms
- Georeferencing cut transportation wait times by 15%
- Marketing funnel dashboards driving strategy redesign
- Oct 2021 — Mar 2023
Consumer credit portfolio & ML profiling
Credit Risk Analyst · Banco de Bogotá
Bogotá, Colombia
Monitored consumption portfolios in Power BI, structured STEM and BNPL policies, and optimized loan-loss provisions while increasing digital credit limits by 26%.
- ML-based customer profiling for targeted risk mitigation
- Loan-loss provision computation and regulatory alignment
- Portfolio indicator improved—risky-profile closures down 1.3 pp
- Jun 2021 — Oct 2021
Operational risk models & VaRO
Risk Professional · Banco Davivienda
Bogotá, Colombia
Built Data Studio dashboards for operational losses (30% faster response), led VaRO computation with real-time monitoring, and cut Type A/B event reporting time by 40%.
- Statistical and ML analysis of operational risk tolerance by business line
- Cross-functional data-driven mitigation contributing to 15% loss reduction
- Dec 2019 — Feb 2021
Credit methodologies & QBK machine learning
Analyst · Qnt
Bogotá, Colombia
Improved QBK model data completeness, optimized ETL (+40% quality), automated five Python extraction processes (−70% manual effort), and led information-systems coordination.
- Real-time portfolio dashboards in Data Studio and BigQuery
- Analytical support to VP of Risk and Risk Director
- Standardized client reporting—response time reduced by one full day
- Apr 2019 — Dec 2019
Operational analytics & QBK model support
Analyst · Qnt
Bogotá, Colombia
Interpreted ally portfolio data against client profiles, analyzed QBK ML outputs, and automated ETL workflows while standardizing data management protocols.
- Salesforce incident resolution for Call Center operations
- Automated reporting on Qlik platform
- Pattern analysis to improve QBK model performance
- Jul 2018 — Jan 2019
Policy analytics & portfolio operations
Intern · Allianz Colombia
Bogotá, Colombia
Managed renewal tracking, Fasecolda homologation, and insurability workflows—standardizing procedures to cut average response time from three days to one.
- Monthly home-policy renewal database management
- Vehicle insurability and license-plate restriction analysis
Education
M.Sc. Economics
Universidad del Rosario · Nov 2020 — Mar 2023
Thesis on automation and Colombia's labor market (2009–2017)
B.A. Economics
Universidad del Rosario · 2014 — 2018
Certifications
- Applied Data Science II — Machine Learning & Statistical Analysis (with honors)
- Introduction to Data Science — Scientific Computing & Python
- Data Analysis with Python
- Bootcamp Data Science — Machine Learning Fundamentals with Python
Publications
Automation and the Labor Market: Evidence from Technological Change in Colombia, 2009–2017
This paper studies differences in the labor markets for occupations with different automation risk, and how actual automation may induce changes in wages and employment. Using data from Colombia between 2009 and 2017, we compute wage disparities by automation risk. We find that 62% of the occupied people in Colombia are at high-risk of automation. In the same way, we find that 71% of informal workers are at high-risk, while 56% of formal workers are. The wage return to education is highest in the less automatable occupations. We then look at the effects of actual education, measured by ICT investment. On wages and employment, automation increases employment, decreases wages and the wages gap by skill. Education acts as a protection mechanism against new automation technologies.