OLUWASEYE DADA
Middletown,DE
Summary
Highly experienced AI/ML leader with over a decade of experience building, implementing, and leading cloud-based AI solutions in the financial and technology sectors. A proven track record of delivering innovation and revenue growth by strategically deploying machine learning models and leading cross-functional teams. Expert in regulatory and ethical standards for AIML, with a keen ability to integrate cutting-edge technologies with business strategies.
Overview
11
11
years of professional experience
1
1
Certification
Work History
Vice President Applied AI/ML & Data Scientist Lead
JPMorgan & Chase
12.2021 - Current
- Led a team in AWS cloud deployments, enhancing ML model scalability and productization across banking operations, ensuring robust system performance and integration
- Drive the strategic integration of ML and generative AI models (GPT, LIama, LLM, and BERT transformers) within the banking sector, increasing scalable product innovation and enhancing customer-centric services
- Acting as the technical leader for incorporating advanced ML & AI technologies on the cloud
- Championed strategic, cross-functional collaborations, aligned AI/ML initiatives with business goals, reduced product time to market, and facilitated a unified operational model
- Implemented critical architectural enhancements for AI applications, improving scalability and performance in compliance with banking standards and resulting in faster application responses
- Led innovative AI practices that maintained technological leadership in the Home Lending LOB, achieving a market advantage through enhanced service offerings
- Mentored and developed an AI/ML team, promoting innovation and accelerating project delivery, significantly increasing productivity
- Architected and executed pioneering Machine Learning-driven projects, such as offline batch transformation and real-time online models, enhancing predictive model accuracy by over 10% and setting industry benchmarks
- Engaged actively in industry discussions, providing insights on AI innovations, and influencing financial industry transformation strategies, earning multiple accolades for thought leadership.
Senior AI/ML Engineer
JPMorgan & Chase
01.2020 - 12.2021
- Designed and developed scalable machine learning models for image recognition, natural language processing, and predictive analytics applications
- Collaborated with cross-functional teams to integrate machine learning models into cloud-based applications
- Migrated on-premises machine learning code to AWS cloud environment
- Utilized AWS services such as EC2, EMR, ECR, S3, Data Wrangler, and SageMaker studio to deploy and run machine learning models
- Mentored junior data scientists and engineers in machine learning best practices and techniques.
Software Engineer (Machine Learning Developer)
MLOps | Machine Learning, JPMorgan & Chase
01.2019 - 01.2020
- Demonstrated expertise in data science, modeling, cloud technologies, and analytics, specializing in developing and deploying machine learning algorithms within cloud-based data ecosystems
- Successfully led migration projects for critical use cases to the AWS Cloud, showcasing proficiency in AWS services like EMR, SageMaker, EC2, and S3
- Facilitated the testing of the comprehensive machine learning model development platform
- Spearheaded the Neptune Data Archiving project for efficient cloud data storage on AWS S3 and contributed to optimizing Apache Spark applications, enhancing code performance, and making analytical recommendations
- Collaborated as part of a cross-functional Agile team to create and enhance software that enables state-of-the-art big data and ML
- Acquired deep knowledge and practical experience in various technologies, including XGBoost, TensorFlow, PyTorch, Jupyter Notebooks, and big data processing frameworks, underlining a broad skill set in machine learning and big data analytics.
Software Engineering
JPMorgan & Chase
07.2017 - 01.2019
- Partnered with modelers, SMEs, architects, and DBAs to craft and deploy tailored solutions, leveraging Spark API over Cloudera Hadoop and Python-Spark for enhanced data analytics and processing efficiency
- Managed and optimized Hadoop cluster operations, including job scheduling, monitoring, and debugging, to uphold stringent SLAs
- Also conducted code reviews and facilitated offshore team collaborations for code updates and knowledge transfer
- Documented intricate code designs and workflows, significantly improved an XGBoost model's performance in Scala, and developed a proof-of-concept for check fraud detection using OpenCV and CNN libraries in Python
- Led the implementation of the CECL financial model, a major project impacting the impairment model for available-for-sale debt securities, aligning with the latest FASB credit loss standards.
DATA SCIENCE & ANALYTICS
Bentley Systems Inc
01.2016 - 11.2016
- Performed statistical and machine learning analysis on Bentley clients' data to estimate revenue
- Performed advanced machine learning and statistical analysis on client data to project revenue opportunities, enhancing data-driven decision-making
- Applied data mining techniques to identify and leverage new revenue streams, leading to a measurable 10% revenue increase in Q4 2016
- Designed and implemented data visualization tools that clarified the sales pipeline status, increased operational transparency, and enhanced strategic planning.
DATA ANALYST & OPTIMIZATION LEAD
Samsung Telecommunications America
03.2013 - 09.2015
- Performance Analysis and Led the analysis and enhancement of 1x and EVDO network performance using drive test data and statistics, including adjustments to antenna tilts and system parameters
- RF Design and Site Management: Oversaw the evaluation and closure of site acquisitions, ensuring adherence to design specifications and quality assurance protocols through the approval of final drawings and site acceptance
- Technical leadership and problem-solving: Guided tower crews in troubleshooting complex technical issues, conducted site shakedowns to verify readiness and addressed sector swaps and PN conflicts
- Network Performance Monitoring: Monitored and optimized network performance, focusing on backhaul capacity and tuning key parameters to improve system efficiency
- Strategic Project Leadership: Instrumental in the deployment of Sprint’s 800 LTE in several major markets, developing strategic drive maps and leading comprehensive network analyses
- Reporting and documentation: Managed the preparation and submission of essential reports for Sprint, facilitating effective communication and compliance with project requirements
- LTE Cluster Optimization: Managed the upgrade and optimization of LTE clusters at Samsung’s NV sites, focusing on minimizing customer disruption and enhancing network performance.
DATA ANALYST / ASSOCIATE ENGINEER
Cricket Wireless
12.2012 - 03.2013
- RF Drive Test Data Collection and Analysis: Conducted extensive RF drive test data collection and used Windcatcher for data analysis, effectively resolving network issues such as call drops, access failures, and pilot pollution while improving areas with high FER, Ec/Io ratios, and handoff failures
- Network Troubleshooting and Optimization: Addressed swap sector discrepancies and PN conflicts using initial shakedown data and maintained CDMA and EVDO network integrity through daily monitoring, focusing on outage management, alarm resolution, and interference testing
- Field Operations and Technical Adjustments: Conducted on-site evaluations, including site walks and azimuth verifications, to ensure the accuracy of newly installed antennas and implemented EDT changes to enhance network efficiency and throughput
- Reporting and documentation: Produced and submitted detailed weekly throughput and performance reports, tracking network performance metrics and driving targeted improvements across engineering teams.
- Presented new design and operational guidelines to senior engineers, resulting in 12% improvement in task completion.
Education
Leadership and Engineering Advancement Program -
JPMorgan
Wilmington, DE05.2021
Machine Learning Certificate Program -
Cornell University
Ithaca, NY06.2020
MASTER OF SCIENCE in Business Analytics -
Drexel University LeBow College of Business
Philadelphia, PA12.2016
MASTER OF SCIENCE in Physics -
Western Illinois University
Macomb, IL12.2012
Skills
- Deep Learning
- Machine Learning
- Statistics: A/B & Multivariate Testing
- Machine Learning Classes & Projects: Debugging, Improving ML Models, Decision Trees, xgboost4j-spark, Model Selection, Deep Learning, NLP, CUDA, Prompt Engineering and Neural Networks
- GenAI: LLM, ChatGPT
- Big Data experience: Hadoop, HDFS, Hive, Pig, Spark, MySQL, Airflow, Control-M, AIM-GPFS, Putty, Docker Container, NVIDIA services
- Cloud Technology proficiency: Python, AWS, Amazon SageMaker, AWS EMR, AWS ECR, AWS ECS, TensorFlow, Docker, AWS CloudFormation, CI/CD Pipelines, SQL, DevOps Engineer, AWS DevOps, Grafana, Machine Learning, ETL, AWS S3, Data Science, Feature Store, GitHub, GBM, GitLab, GitLab CI/CD, Site Reliability Engineering (SRE), AWS EC2, Jenkins, API Design, Amazon Virtual Private Cloud (VPC)
Certification
- Management Professional Certificate: Delaware LEAP (Leadership & Engineering Advancement Program)
- AWS Cloud Practitioner
Leadership Soft Skills
- Adaptive Leadership: Employs a flexible leadership style that adapts to the evolving needs of the team and the organization, promoting a culture of continuous learning and resilience.
- Inclusive Decision-Making: Committed to inclusive leadership that values diverse perspectives and fosters collaboration; employs a consensus-building approach that enhances team cohesion and drives collective success.
- Innovation-Driven: Encourages a culture of innovation and creative problem-solving by supporting risk-taking and iterative learning within teams.
- Empathy and Communication: Strong advocate for empathetic leadership, with a focus on understanding team members’ professional and personal growth needs, which leads to higher productivity and job satisfaction.
Patents
Data Privacy and Personalized Federated Learning
Community Service
- Vice PRESIDENT, JPMorgan, Wilmington, DE, 01/2023, Present, BOLD—Black Organization for Leadership Development. This organization provides employees, specifically those of African descent, with an empowering environment that focuses on professional and personal development.
- QED Delaware Leadership, Quantitative Employee Development, Executive member of Quantitative Employee Development is a community for quantitative professionals.
- LEAP Alumni Network
Timeline
Vice President Applied AI/ML & Data Scientist Lead
JPMorgan & Chase
12.2021 - Current
Senior AI/ML Engineer
JPMorgan & Chase
01.2020 - 12.2021
Software Engineer (Machine Learning Developer)
MLOps | Machine Learning, JPMorgan & Chase
01.2019 - 01.2020
Software Engineering
JPMorgan & Chase
07.2017 - 01.2019
DATA SCIENCE & ANALYTICS
Bentley Systems Inc
01.2016 - 11.2016
DATA ANALYST & OPTIMIZATION LEAD
Samsung Telecommunications America
03.2013 - 09.2015
DATA ANALYST / ASSOCIATE ENGINEER
Cricket Wireless
12.2012 - 03.2013
Leadership and Engineering Advancement Program -
JPMorgan
Machine Learning Certificate Program -
Cornell University
MASTER OF SCIENCE in Business Analytics -
Drexel University LeBow College of Business
MASTER OF SCIENCE in Physics -
Western Illinois University
- Management Professional Certificate: Delaware LEAP (Leadership & Engineering Advancement Program)
- AWS Cloud Practitioner
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