Saheed Shittu Email & Phone Number

Austin, Texas, United States

•Developed machine learning models (regression, classification, clustering) using scikit-learn, focusing on customer behavior, churn prediction, and anomaly detection.•Managed data pipelines and ETL processes, collaborating with data engineers to optimize SQL queries for Redshift and Hive.•Built NLP-based solutions for virtual assistants and search platforms, integrating ML models with web services to improve customer satisfaction.•Leveraged Azure Data Factory Pipelines for data orchestration and processing, enabling efficient, scalable data solutions.•Conducted feature engineering (normalization, label encoding) and data imputation to enhance model accuracy.•Enhanced data visualization capabilities using Power BI and Tableau, producing dashboards for executive decision-making.•Proficient in ETL processes, collaborating with data engineers and operations teams, and optimizing SQL queries for data extraction and analysis.•Skilled in data retrieval using Hive for Hadoop clusters and SQL for RedShift, as well as data analysis with Spark SQL.•Implemented NLP/NLU, to forecast Anomaly detection DS solution development and deployment in real-world scenarios.•Implemented Machine Learning, MLOps, MLflow, Kubeflow, Python/R, SQL, Big Data, GCP, and Shell scripting.•Scaled infrastructure to support high-throughput data-intensive applications using PySpark/GPU•Integrated ML models with web services•Built next-generation AI and Search platforms for the Client, enabling smart virtual assistants across multiple channels and platforms.•Proficient in Python (numpy, scipy, pandas, scikit-learn, seaborn) and Spark 2.0 (PySpark, MLlib) for model development and algorithm implementation.•Utilized natural language processing (NLP) techniques to optimize Customer Satisfaction.•Designed data visualizations for effective data representation using Tableau and Matplotlib.

Dallas, Texas, United States

•Led the development of AI/ML platforms, including AutoML and model pipeline frameworks, supporting data-driven initiatives across customer segmentation and predictive analytics.•Collaborated with architecture and data teams to construct and deploy business intelligence solutions with a focus on finance and accounting reporting.•Applied advanced NLP techniques to optimize customer satisfaction and insights for the business.•Conducted time series forecasting (ARIMA, exponential smoothing) for complex multivariate datasets, improving planning accuracy.•Enhanced data integration and ETL using SQL Server Integration Services (SSIS) and optimized SQL queries and SSIS packages for improved performance.•Utilized clustering algorithms for customer segmentation and behavior analysis, uncovering actionable insights that informed marketing strategies.•Designed, constructed, and deployed sophisticated Business Intelligence solutions, specializing in data, finance, and accounting reporting with tools like Excel, Power BI, and Tableau.•Applied advanced Natural Language Processing (NLP) techniques to enhance customer satisfaction, using data-driven insights for optimization.•Proactively evaluated state-of-the-art technologies and built/enhanced next-generation Artificial Intelligence platforms such as Kubernetes, Domino, and AI processor platforms for several data-driven initiatives. •Performed ML model implementation including auto-ML, model development workbench, model development life cycle, feature engineering, and ML pipeline frameworks.•Crafted engaging and insightful data visualizations using Tableau and Matplotlib to transform complex data into a human-readable narrative.•Spearheaded predictive and prescriptive analytics, driving forward AI/ML engineering initiatives. Continually evaluated cutting-edge technologies and crafted next-gen AI platforms, including Kubernetes, Domino, and AI processor platforms.

Master'S Degree, Health Services Administration

Bachelor'S Degree, Philosophy, 4.1

Bachelor'S Degree