Geraldine Castillo - Solution Engineer (Data & ML Integration)

Q: Where is Geraldine based?

Geraldine is based in Regensburg, Germany .

Q: What languages does Geraldine speak?

Geraldine speaks the following languages: Tagalog (Native), English (Advanced), German (Elementary) .

Q: How many years of experience does Geraldine have?

Geraldine has at least 7 years of experience. During this time, Geraldine has worked in at least 5 different roles and for 5 different companies . The average length of individual experience is 1 year and 5 months . Note that Geraldine may not have shared all experience and actually has more experience.

Q: What is Geraldine's latest experience?

Geraldine's most recent position is Solution Engineer (Data & ML Integration) at Amadeus Data Processing GmbH .

Q: What companies has Geraldine worked for in recent years?

In recent years, Geraldine has worked for Amadeus Data Processing GmbH , IQ-EQ Global Investor Services , Ernst and Young (EY) , and Infor .

Q: Which industries is Geraldine most experienced in?

Geraldine is most experienced in industries like Information Technology (IT) , Professional Services , and Retail . Geraldine also has some experience in Tourism and Hospitality and Banking and Finance .

Q: Which business areas is Geraldine most experienced in?

Geraldine is most experienced in business areas like Business Intelligence , Information Technology (IT) , and Supply Chain Management . Geraldine also has some experience in Finance .

Q: Which industries has Geraldine worked in recently?

Geraldine has recently worked in industries like Information Technology (IT) , Professional Services , and Tourism and Hospitality .

Q: Which business areas has Geraldine worked in recently?

Geraldine has recently worked in business areas like Business Intelligence , Information Technology (IT) , and Finance .

Recommended expert

Regensburg, Germany

Experience

May 2025 - Present

11 months

Erding, Germany

Solution Engineer (Data & ML Integration)

Amadeus Data Processing GmbH

Designed ML-ready data integration workflows between on-premise systems and cloud platforms (Snowflake, AWS Redshift, Azure), enabling scalable feature engineering and model deployment
Implemented automated ML pipeline deployment using Python, SQL, and CI/CD tools, reducing model deployment time by 60%
Developed data transformation logic for master data synchronization across ERP and analytics systems, ensuring data quality for predictive models
Collaborated with cross-functional teams to translate business requirements into mathematical specifications for ML solutions

Jul 2024 - Feb 2025

8 months

Philippines

Senior Data Scientist & ML Engineer

IQ-EQ Global Investor Services

Developed and validated predictive models for customer segmentation and revenue forecasting using ensemble methods (XGBoost, Random Forest), achieving 85% accuracy
Applied advanced statistical modeling techniques (Bayesian inference, multivariate regression) to optimize pricing strategies, contributing to 12% revenue growth
Operationalized ML models on Azure ML platform with automated retraining pipelines and monitoring dashboards
Integrated ERP data with cloud analytics platforms, processing complex distributed data sources for feature generation
Conducted hyperparameter tuning and cross-validation for model optimization, improving F1-score by 18%

Dec 2022 - Jul 2024

1 year 8 months

Philippines

Data Scientist & ML Specialist

Ernst and Young (EY)

Developed production-ready ML models using TensorFlow and PyTorch for customer churn prediction, achieving 89% recall and reducing churn by 15%
Applied semi-supervised learning techniques to leverage unlabeled data, improving model performance by 22% with limited labeled samples
Implemented time series forecasting models (Prophet, ARIMA, LSTM) for demand prediction, achieving MAE improvement of 35% over baseline
Designed and deployed scalable ML infrastructure on Snowflake + AWS, processing 10M+ customer interactions daily
Performed advanced feature engineering including lag features, rolling statistics, and interaction terms, creating 50+ features from raw data
Translated complex business optimization problems (budget allocation, campaign ROI) into mathematical formulations and implemented solutions
Processed semi-structured data (JSON, logs) from multiple sources using PySpark for distributed processing and model training

Feb 2020 - Dec 2022

2 years 11 months

Philippines

Machine Learning Engineer

Infor

Built and operationalized gradient boosting models (XGBoost, LightGBM) for customer lifetime value prediction, contributing to 10% revenue growth
Developed end-to-end ML pipelines on AWS (SageMaker, S3) and Snowflake, including data preprocessing, model training, and automated deployment
Applied ensemble learning methods combining multiple models to achieve 92% accuracy in fraud detection, reducing false positives by 40%
Implemented A/B testing framework for model evaluation, measuring statistical significance and business impact of ML interventions
Performed data wrangling on complex, distributed data sources (ERP, e-commerce, CRM) using Python and SQL
Optimized hyperparameters using grid search and Bayesian optimization, reducing model training time by 50% while improving performance

Jan 2019 - Jan 2020

1 year 1 month

Philippines

Data Scientist

Ecorenew Group

Developed time series forecasting models using ARIMA and Prophet, improving demand prediction accuracy by 25% for inventory optimization
Built pricing optimization engine using regression models and constraint optimization, improving gross profitability by 10%
Applied statistical analysis and hypothesis testing to identify revenue drivers and operational bottlenecks
Integrated e-commerce data with analytics systems for real-time sales and product performance tracking

Industries Experience

See where this freelancer has spent most of their professional time. Longer bars indicate deeper hands-on experience, while shorter ones reflect targeted or project-based work.

Experienced in Information Technology (3.5 years), Professional Services (2 years), Tourism (1 year), Retail (1 year), and Banking and Finance (0.5 years).

Information Technology

Professional Services

Tourism

Retail

Banking and Finance

Business Areas Experience

The graph below provides a cumulative view of the freelancer's experience across multiple business areas, calculated from completed and active engagements. It highlights the areas where the freelancer has most frequently contributed to planning, execution, and delivery of business outcomes.

Experienced in Business Intelligence (7 years), Information Technology (3 years), Supply Chain Management (1 year), and Finance (0.5 years).

Business Intelligence

Information Technology

Supply Chain Management

Finance

Summary

Data Scientist with 5+ years of experience developing and operationalizing machine learning models to solve complex business problems. Expertise in statistical modeling, deep learning, and cloud-based ML platforms (AWS, Azure, GCP). Proven track record in translating business requirements into mathematical optimization problems and deploying production-ready ML solutions. Specialized in feature engineering, ensemble methods, and Foundation Models (LLMs) integration. Published researcher in AI applications with strong foundation in Python, TensorFlow, and distributed ML systems.

Skills

Machine Learning & Deep Learning: Xgboost, Random Forest, Gradient Boosting, Neural Networks, Tensorflow, Pytorch, Ensemble Learning
Statistical Modeling: Bayesian Inference, Multivariate Statistics, Time Series Analysis, Hypothesis Testing, A/b Testing
Advanced Ml Algorithms: Semi-supervised Learning, Reinforcement Learning, Causal Inference, Synthetic Data Generation
Cloud Ml Platforms: Aws (Sagemaker, S3, Redshift), Microsoft Azure (Ml Studio, Data Lake), Google Cloud (Vertex Ai, Bigquery)
Ml Operations & Deployment: Model Versioning, Hyperparameter Tuning, Cross-validation, Ci/cd For Ml, Apache Airflow
Programming & Tools: Python (Pandas, Numpy, Scikit-learn), R, Pyspark, Sql, Dbt, Git
Foundation Models & Genai: Llm Integration, Transformer Models, Fine-tuning, Prompt Engineering, Rag Architecture
Data Engineering: Complex Data Wrangling, Distributed Data Processing, Feature Engineering, Data Pipelines

Languages

Tagalog

Native

English

Advanced

German

Elementary

Education

Mar 2025 - Aug 2026

Technische Hochschule Deggendorf

M.Eng. · Applied AI for Digital Production Management · Deggendorf, Germany

Feb 2021 - Feb 2025

Mapua University

M.Sc., Specialization: Advanced Machine Learning, Statistical Modeling, Deep Learning, Time Series Analysis · Business Analytics · Philippines · 1.3 - Excellent

Jun 2010 - Apr 2015

Polytechnic University of the Philippines

B.Sc. · Industrial Engineering · Philippines · 1.9 - Very Good

Profile

Created

November 2025

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Frequently asked questions

Do you have questions? Here you can find further information.

Where is Geraldine based?

Geraldine is based in Regensburg, Germany.

What languages does Geraldine speak?

Geraldine speaks the following languages: Tagalog (Native), English (Advanced), German (Elementary).

How many years of experience does Geraldine have?

Geraldine has at least 7 years of experience. During this time, Geraldine has worked in at least 5 different roles and for 5 different companies. The average length of individual experience is 1 year and 5 months. Note that Geraldine may not have shared all experience and actually has more experience.

What roles would Geraldine be best suited for?

Based on recent experience, Geraldine would be well-suited for roles such as: Solution Engineer (Data & ML Integration), Senior Data Scientist & ML Engineer, Data Scientist & ML Specialist.

What is Geraldine's latest experience?

Geraldine's most recent position is Solution Engineer (Data & ML Integration) at Amadeus Data Processing GmbH.

What companies has Geraldine worked for in recent years?

In recent years, Geraldine has worked for Amadeus Data Processing GmbH, IQ-EQ Global Investor Services, Ernst and Young (EY), and Infor.

Which industries is Geraldine most experienced in?

Geraldine is most experienced in industries like Information Technology (IT), Professional Services, and Retail. Geraldine also has some experience in Tourism and Hospitality and Banking and Finance.

Which business areas is Geraldine most experienced in?

Geraldine is most experienced in business areas like Business Intelligence, Information Technology (IT), and Supply Chain Management. Geraldine also has some experience in Finance.

Which industries has Geraldine worked in recently?

Geraldine has recently worked in industries like Information Technology (IT), Professional Services, and Tourism and Hospitality.

Which business areas has Geraldine worked in recently?

Geraldine has recently worked in business areas like Business Intelligence, Information Technology (IT), and Finance.

What is Geraldine's education?

Geraldine holds a Master in Applied AI for Digital Production Management from Technische Hochschule Deggendorf, a Master in Business Analytics from Mapua University and a Bachelor in Industrial Engineering from Polytechnic University of the Philippines.

What is the availability of Geraldine?

Geraldine is immediately available full-time for suitable projects.

What is the rate of Geraldine?

Geraldine's rate depends on the specific project requirements. Please use the Meet button on the profile to schedule a meeting and discuss the details.