Aiman Darwiche
Cincinnati,OH
Summary
Data Scientist specializing in predictive analytics, delivering a 20% boost in marketing exposure and an 18% increase in clinical trial accuracy. Expertise in developing AI-driven solutions that inform strategic decisions, enhance operational efficiency, and drive measurable business results.
Overview
16
16
years of professional experience
Work History
Head Data Scientist/Data & BI Analyst
Compu-House
Cincinnati, OH
02.2019 - Current
- Established predictive models utilizing Python neural networks and XGBoost libraries for clinical trial datasets to pinpoint treatment responders, Enhancing ROC-AUC by 18% over baseline performance.
- Engineered advanced predictive models in Python to enhance marketing exposure for California Lottery, that will drive revenue growth by 20%
- Formulated predictive models with Python for Hyundai Motor Group, enhancing social media advertisement effectiveness and maximizing click-through rates.
- Facilitated collaboration on data analytics initiatives to support strategic goals and elevate market share, enhancing results by roughly 25% using Python, SQL, and Snowflake.
- Created and launched data visualizations and dashboards for real-time financial and risk insights contributing to a 35% decrease in fraud and a 13% growth in market penetration.
- Crafted live dashboards with Python, Tableau, and Power BI for shooting range client, contributing to a 28% sales increase linked to recommender model.
- Developed Snowflake data warehouse unifying diverse data sources for an advertising company and created and optimized ad placement prediction models that increased revenue by 30% with broader market segments.
- Delivered model interpretability using SHAP (SHapley Additive exPlanations) to assist clinical stakeholders in understanding key factors influencing efficacy.
- Generated features based on patient demographics, lab biomarkers, and treatment arms, resolving class imbalance via synthetic minority oversampling technique (SMOTE).
- Constructed and refined image prediction models with Python to improve early detection of brain tumors.
- Led cross-functional team at Anthem BCBS to adopt AI-optimized business rules, improving speed and accuracy of claim processing.
- Orchestrated creation of robust claims application with ASP.NET and SQL Server at Anthem BCBS, improving operational efficiency.
- Transformed IT department infrastructure for a nurse recruiting company by implementing data science and analytics, improving placement rates by 20%.
- Constructed .NET Core applications to enhance efficiency in nurse recruiting and cardiologist placement operations while reliably computing commission figures.
Part-time Data Science/ML Researcher
Compu-House
Cincinnati, OH
01.2013 - 01.2019
- Optimized predictive models for septic shock, increasing accuracy by 12% through integration of Cox Regression with Random Forest algorithms.
- Expanded prediction window for septic shock from 4 to 20 hours, enabling earlier intervention strategies.
- Developed machine learning models to analyze large datasets efficiently.
- Collaborated with cross-functional teams to integrate AI solutions into products.
- Conducted research on state-of-the-art algorithms for predictive analytics.
Software Developer
Cincinnati Insurance Companies
Cincinnati, OH
07.2012 - 01.2019
- Refined and upgraded insurance rating applications, ensuring adherence to object-oriented programming standards for improved reliability.
- Automated manual processes and eliminated redundant tasks, enhancing workflow efficiency.
- Conducted code reviews to ensure quality and consistency across development projects.
- Synthesized and articulated user input into clear technical documentation.
IT Director/Software Developer
Compu-House
Cincinnati, OH
03.2010 - 06.2012
- Oversaw design and programming of RFID and scale-integrated inventory-tracking system, enabling seamless data streaming to SQL Server database for P&G Baby Care.
- Led development and enhancement of risk assessment application and municipal court electronic filing system using ASP.NET and C#, improving accessibility and efficiency for users.
- Led IT strategy development to align technology with business goals.
- Managed vendor relationships to ensure optimal service delivery and support.
- Oversaw network infrastructure improvements for enhanced system performance.
Education
Ph.D. - Computer Science
Nova Southeastern University
Fort Lauderdale, FLMS - Software Engineering
Regis University
Denver, COBS - Computer Science Minor
American University of Beirut
Beirut, LebanonData Science Specialization -
Johns Hopkins University through Coursera
Skills
- Machine & Deep Learning
- Predictive Analytics
- Python
- R
- Power BI
- Tableau
- MS SQL
- PostgreSQL
- MySQL
- Oracle
- Azure
- Snowflake
- AWS
- Problem solving
- Critical thinking
- Communication
Timeline
Head Data Scientist/Data & BI Analyst
Compu-House
02.2019 - Current
Part-time Data Science/ML Researcher
Compu-House
01.2013 - 01.2019
Software Developer
Cincinnati Insurance Companies
07.2012 - 01.2019
IT Director/Software Developer
Compu-House
03.2010 - 06.2012
Ph.D. - Computer Science
Nova Southeastern University
MS - Software Engineering
Regis University
BS - Computer Science Minor
American University of Beirut
Data Science Specialization -
Johns Hopkins University through Coursera