Juan Camilo Fernandez Machine Learning Engineer

Senior MLOps Engineer

Avant

Mar 2023 - Jul 2023 (5 months)

Develop and maintain data pipelines for financial data and transactions. Build, deploy, and monitor machine learning models for fraud detection, credit scoring, risk assessment, and other financial use cases. Collaborate with cross-functional teams (e.g. data scientists, software engineers, compliance officers) to implement ML solutions that meet regulatory requirements. Design and implement monitoring and alerting systems to detect model performance issues and ensure compliance with security and privacy regulations. Develop and implement automated testing and deployment strategies for ML models that ensure consistency and accuracy in financial decision-making. Optimize ML models and infrastructure to improve performance and scalability, wh

Machine Learning Engineer

LANDING AI

Nov 2018 - Jan 2023 (4 years 3 months)

As a Machine Learning Engineer in a cutting-edge AI company, I demonstrated my expertise in advanced deep learning through the successful implementation of a diverse range of ML models and contributed to driving innovation in the field by leveraging cutting-edge AI technology and techniques to deliver impactful results. Simultaneously, I proudly honed my skills under the guidance of renowned ML expert, Andrew NG, through personalized mentorship and learned the industry's best practices. Some of my greatest achievements include:
- Expertly conducted research experiments to validate and measure the impact of cutting-edge deep learning techniques on real-world data using Domain Randomization, Domain Adaptation, and Deep Generation (GAN,

Senior Data Scientist

iData Global Analytics

Jan 2017 - Jul 2018 (1 year 7 months)

- Collaborated with clients to drive better business performance through data driven processes, leading the technical implementation of multiple analytical ML models using Azure.
- Consolidated diverse data sources through efficient ETL construction, serving as the foundation for analytical models.
- Utilized a powerful combination of programming languages and libraries (Python, R, SQL) to build ML models and deliver data-driven insights.
- Designed interactive decision dashboards using PowerBI to effectively communicate insights to stakeholders.
- Built predictive customer churn models using an ensemble of logistic regression, SVM, and random forest algorithms to proactively drive customer reactivation.

Information and Data Mining Analyst

Coltefinanciera

Mar 2016 - Dec 2016 (10 months)

Support the VP of risk management with the information requirements (build ETLs, data warehouses, analytical tools, and reports using IBM suite) to carry out risk analysis and support the math and stats foundations in the construction of different risks analytics models such as credit risk (granting and portfolio tracking), market risk (VaR and benchmarking), and liquidity risk (IRL and early warnings).

Operational and AML Risk Analyst

Coltefinanciera

Feb 2015 - Feb 2016 (1 year 1 month)

Solve and mitigate the occurred operational risk events by applying methodologies of risk identification and control to the corporate processes such as LDA, Basel III, etc. Monitor the unusual financial operations detected by the anomaly detection model and support the statistical foundations of the segmentation and anomaly detection models.

Juan Camilo Fernandez

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Juan Camilo Fernandez

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