Joseph Egbosi
Dallas,TX
Summary
Results-driven Data Scientist with experience in NLP, LLMs, and AI models. Skilled in building and fine-tuning models for practical applications. Proficient in model deployment, scalability, and using cloud platforms like IBM Cloud, AWS, and GCP. Passionate about applying cutting-edge techniques to transform data into actionable insights, while continuously exploring new advancements in AI.
Overview
5
5
years of professional experience
1
1
Certification
Work History
Data Scientist /Machine Learning Engineer
IBM
Dallas, TX
03.2022 - Current
- Developed and deployed an AI-powered NLP model using IBM Watson Discovery, reducing document processing times by over 95%.
- Built and fine-tuned a credit risk detection system, leveraging deep learning and ensemble techniques, improving risk identification by 30%.
- Designed a threat detection model for real-time anomaly detection in cybersecurity, reducing threat response times by 15%.
- Collaborated with cross-functional teams to deploy ML models on IBM Cloud and GCP, optimizing model performance and scalability.
- Led enablement training sessions for clients, improving their proficiency with AI and machine learning tools.
Data Scientist
Generac Power Systems
Jefferson, WI
03.2021 - 02.2022
- Developed real-time predictive models for maintenance optimization, reducing downtime by 20% and saving $1.5M annually.
- Implemented forecasting models using Google AutoML, improving sales and production planning accuracy by 12%.
- Applied deep learning algorithms such as LSTMs and Autoencoders for time-series analysis, leading to a 15% increase in predictive accuracy for production capacity.
Associate Data Scientist
The Nature's Bounty Co.
San Antonio, TX
01.2020 - 02.2021
- Analyzed geographic trends on the spread of COVID and deployed a recommendation engine for production planners and supply chain teams. Resulted in a 65% increase in delivery rates of immune system supplements to prioritized regions. Simultaneously contributed to enhancing data analysis and model development by offering insights into identifying new data sources and refining existing ones.
- Developed tableau operational reporting dashboards to visualize core business KPIs, enabling company-wide access to data and saving 10 hrs. weekly in manual reporting.
- Managed workflow diagrams to optimize processes, production schedules and order timelines. Achieved a 35% improvement in just-in-time production and reduced lead time to clients.
Education
Postgraduate Program - Data Science And Business Analytics
University of Texas At Austin
Austin, TX07-2021
Master of Science - Industrial And Systems Engineering
Texas A&M University - Kingsville
Kingsville, TX12-2018
Bachelor of Science - Metallurgical And Materials Engineering
Federal University of Technology
Nigeria12-2014
Skills
Machine Learning & AI:
- ML Frameworks: TensorFlow, PyTorch, Scikit-learn
- Model Tuning & Optimization, Hyperparameter Tuning
- Neural Networks, CNNs, RNNs, GANs, Transformers
- NLP: BERT, GPT, LLMs
- Generative AI, Autoencoders
Data Management:
- ETL, Data Virtualization,
- DBs; PostgreSQL, Hive, Impala
Cloud & Big Data:
- IBM Cloud, GCP, AWS
- Docker, Kubernetes for Model Deployment
- Data Pipelines, ETL Processes
Programming:
- Python (NumPy, Pandas)
Certification
- IBM Global Sales School | 2022
- IBM Data Science Professional Certificate | 2023
- WatsonX Assistant: Build an AI Assistant | 2024
Key Projects
NLP Document Processing Model
- Developed and deployed an NLP solution on IBM Watson for document classification, significantly reducing processing time and increasing accuracy by 20%.
Credit Risk Evaluation Model
- Built a credit risk model using ensemble techniques to identify high-risk customers for a banking client, improving risk prediction accuracy by 25% and enhancing loan approval decisions.
Threat Detection Model
- Designed a threat detection model utilizing anomaly detection algorithms to identify unusual patterns in real-time, enhancing cybersecurity response times by 15%.
Timeline
Data Scientist /Machine Learning Engineer
IBM
03.2022 - Current
Data Scientist
Generac Power Systems
03.2021 - 02.2022
Associate Data Scientist
The Nature's Bounty Co.
01.2020 - 02.2021
Postgraduate Program - Data Science And Business Analytics
University of Texas At Austin
Master of Science - Industrial And Systems Engineering
Texas A&M University - Kingsville
Bachelor of Science - Metallurgical And Materials Engineering
Federal University of Technology