A
Alessa Zeller
About
Detail
Washington, United States
Résumé
Jobs
verified_user
0% verified
Lead Machine Learning EngineerTegusJan 2022 - Current (4 years 10 months)• Developed a deep learning framework for image recognition, boosting accuracy by 30% and driving a 20% increase in
customer engagement.
•
•
•
•
Deployed real-time anomaly detection models using TensorFlow and Apache Kafka, decreasing the rate of false alarms by
35% and enhancing system reliability.
Optimized ML pipelines on AWS, cutting data processing time by 40% and improving model training efficiency.
Implemented predictive maintenance algorithms, reducing unplanned downtime by 25%.
Led the creation of a collaborative filtering recommendation system, increasing user engagement and revenue by 25%.
Integrated ML models into cloud microservices, enhancing scalability by 30% and improvi- Senior Machine Learning EngineerMCG HealthJan 2020 - Jan 2022 (2 years 1 month)• Created an NLP model for sentiment analysis, improving accuracy by 25% and enhancing customer feedback insights.
•
•
•
•
•
Applied reinforcement learning for dynamic pricing, resulting in a 15% revenue increase.
Utilized Oracle Database for high-performance analytics and data processing tasks.
Led the integration of fraud detection models, reducing false positives by 20%.
Enhanced churn prediction accuracy by 30% through advanced data analysis and feature engineering.
Applied deep learning to medical imaging, improving diagnostic accuracy by 22% and establishing CI/CD practices for ML pipelines
to cut deployment time by 35%. - Machine Learning EngineerProcoreJan 2018 - Jan 2020 (2 years 1 month)• Improved ML model performance for enterprise applications, achieving a 25% increase in prediction accuracy and system
efficiency.
•
•
•
Developed and optimized models for user behavior analysis, leading to a 20% enhancement in user engagement.
Integrated real-time data processing and analysis tools using Apache Spark and Hadoop, reducing latency by 30% and increasing
system throughput.
Enhanced model training and deployment workflows with Docker and Kubernetes, reducing operational overhead by 40%
Education
verified_user
0% verified
- AI & Machine Learning BootcampCourseraJun 2017 - May 2018 (1 year)An intensive program covering the basics and advanced concepts of
Al and machine learning, including neural networks and deep learning. - LComputer ScienceLUMSJan 2013 - Feb 2017 (4 years 2 months)
Projects (professional or personal)
verified_user
0% verified
- IInstadappDeveloped a machine learning-powered recommendation system for online ordering, enhancing user experience by providing
personalized menu suggestions. Integrated location-based Al algorithms to optimize delivery routes, reducing delivery times by 20%.
Prioritized UX design using Agile methodologies. - KKallidusBuilt an Al-powered e-learning platform with personalized training recommendations based on employee performance data.
Incorporated natural language processing (NLP) for intelligent search and performance evaluation features. Applied Agile practices
with a focus on enhancing user engagement through adaptive learning algorithms. - LLou Malnati's PizzeriaDeveloped a machine learning-powered recommendation system for online ordering, enhancing user experience by providing
personalized menu suggestions. Integrated location-based Al algorithms to optimize delivery routes, reducing delivery times by 20%.
Prioritized UX design using Agile methodologies