Abdul W.
Data Scientist | Data Analyst | AI Engineer | ML/LLM Solutions Architect | Machine Learning | Deep Learning | Python | SQL | PyTorch | TensorFlow | MLOps
- Role
- Data Architect Scientist at PPG
- Location
- North Richland Hills, TX, US
- LinkedIn followers
- 500 followers
About Abdul W.
Data scientist and researcher with skills in analyzing financial and economic data using…
Experience
Data Architect Scientist
Jan 2024 — Present
Designed and implemented a scalable data architecture for a unified analytics platform, consolidating 8+ disparate data sources into a centralized data warehouse, resulting in a 75% reduction in data inconsistencies and establishing a single source of truth.Built and maintained robust ETL pipelines using Python, SQL, automating data extraction from multiple sources (APIs, databases, flat files) with 99.9% reliability, reducing manual data processing time by 85%.Led the development of an analytics dashboard suite using PowerBI and Python, creating 15+ automated reports and KPI visualizations that increased stakeholder data accessibility by 90% and reduced reporting time from days to hours.Engineered a real-time data monitoring system enabling proactive data quality checks and automated alerts, resulting in 40% faster issue resolution and 95% reduction in data discrepancies.Architected and implemented an end-to-end ETL pipelines integrating structured and unstructured data sources into a centralized data warehouse, reducing data retrieval time by 60% and establishing a single source of truth for organizational analytics.Developed and deployed a custom OCR system using PyTorch and OpenCV to digitize historical documents, achieving 95% accuracy and unlocking previously inaccessible data for analytics and predictive modeling.Spearheaded the development of interactive analytics dashboards using PowerBI and Python (Plotly, Streamlit) in collaboration with subject matter experts, driving a 40% increase in stakeholder data accessibility and enabling data-driven decision making across departments.Designed and implemented custom cognitive architectures for autonomous AI agents monitoring real-time quality control, resulting in 85% faster issue detection and a 30% reduction in quality-related incidents with Human in the loop systems.
Education
The University of Texas at Arlington
Master of Engineering - MEng, Materials Science and Engineering
The University of Texas at Arlington
Bachelor of Science - BS, Physics
Find verified contacts for anyone on LinkedIn
Unifers gives sales teams verified emails and direct dials, enriched profiles, and outreach that lands in the inbox.
Free plan included · No credit card required
This profile is compiled from publicly available professional sources. Unifers is not affiliated with or endorsed by LinkedIn. Request removal of this profile.