Professional Experience

Industry Experience

Senior Data Scientist at University of Pittsburgh- Center for Population Health Management

Full Time, July 2022 - Current

• Gained extensive experience utilizing Electronic Health Records (EHR) for analysis, demonstrating a deep familiarity with preparing and leveraging EHR data for both statistical and predictive purposes.

• Utilized causal forest algorithms to evaluate heterogeneity in treatment effects, allowing for a nuanced understanding of how different patient subgroups respond to various interventions.

• Spearheaded the development of precise predictive models to identify patients susceptible to adverse events using sophisticated machine learning methodologies.

• Tested the effectiveness of a multifaceted Electronic Health Records (EHR)-based Population Health Management (PHM) intervention to improve evidence-based Chronic Kidney Disease care in high-risk patients.

• Utilized mixed-effect models to analyze the impact of various factors on pain, fatigue, and depression, providing valuable insights into effective intervention strategies.

• Designed and implemented a Tkinter application in Python to map addresses into the Area Deprivation Index (ADI), facilitating targeted resource allocation for underserved communities.

Data Scientist at University of Pittsburgh-Office of the Provost

Full Time, October 2017 - June 2022

• Utilized data analytics tools to automate the generation of yearly/ad-hoc insights in static and dynamic formats, integrating data from multiple resources.

• Improved University of Pittsburgh’s US News Ranking by 4 steps (between 2020 and 2021) using Machine Learning techniques including SVM, Random Forest, and Gradient Boosting.

• Developed highly accurate (96%) predictive models for students’ success indicators (retention, dropout, and graduation), enabling proactive advising for students in need.

• Collaborated with school deans to make data-informed investment decisions, optimizing the school’s US News and World Report ranking.

• Automated recurring reports on gender and ethnic group equity, as well as admission and financial aid reports for the office of the provost and deans.

Data Scientist and Simulation Specialist at University of Akron

January 2013 - September 2017

• Conducted data collection process via surveys and sensors to gather and analyze data, enabling data- driven improvements to the parking and transportation processes at the University of Akron.

• Developed valid Discrete Event Simulation models to mimic and optimize the stochastic process of the Parking and Transportation environments, identifying areas for increased efficiency and resource allocation.

• Applied continuous improvement methodologies and Lean principles to analyze the parking and transportation process, resulting in enhanced operational effectiveness and customer satisfaction.

• Utilized Advanced Machine Learning techniques to forecast future demands on the transportation system, aiding in long-term planning and optimal allocation of resources.

Data Scientist at Federal Aviation Administration (FAA)

Part-time January 2017 - July 2017 - Collaborated with Google and the FAA to optimize the Federal Aviation Administration search engine for their technical training materials.

• Conducted state-of-the-art research to extract information from various information carriers used by the FAA, including PDF documents, web pages, and scanned images.

• Implemented text mining analyses and Natural Language Processing techniques on their database contents to uncover valuable knowledge and insights.

• Applied advanced Statistical Techniques and A/B Testing on the database contents to gain a deeper understanding and optimize the search engine’s performance.

Senior Site Engineer at Millennium Energy Industries

August 2008 - July 2011

• Supervised a high-performing team in the field of Thermal Renewable Energy, specializing in Evacuated Tubes and Grammar Solar Technologies.

• Led the successful implementation of renewable energy systems to generate hot water for various applications, including:

  • Central hot water supply for domestic and large-scale projects, ensuring efficient and sustainable heating solutions.
  • Space heating for both domestic and large-scale projects, optimizing energy usage and promoting eco-friendly practices.
  • Swimming pool heating for domestic and large-scale projects, providing cost-effective and environmentally friendly solutions for maintaining comfortable pool temperatures.
  • Grammar Solar (Hot Air Collectors) for domestic applications, harnessing solar energy for heating purposes in residential settings.

• Demonstrated expertise in renewable energy technologies, ensuring seamless integration of systems and maximizing energy yield.

• Coordinated project planning, execution, and monitoring, ensuring adherence to timelines, budget, and quality standards.

• Conducted feasibility studies and performance evaluations to assess the viability and effectiveness of renewable energy solutions for specific projects.

• Fostered collaborative relationships with clients, suppliers, and stakeholders, driving successful project outcomes and client satisfaction.

Site Engineer at Nour Communication Company

August 2007 - August 2008

• Led a team in performing heating and cooling load calculations for communication tower cabins.

• Installed, commissioned, and maintained air conditioning units in tower cabins.

• Oversaw the installation and commissioning of firefighting systems.

• Managed the commissioning of electrical panels, including the Main Distribution Board and Automatic Transfer Switch.

Entrepreneurship

Co-Founder and CTO at Algebra Intelligence

January 2020 - June 2022

• Led a pioneering team in creating and deploying Taqtak, a groundbreaking mobile/web application that revolutionizes real-time monitoring within energy plants. Successfully secured $1,060,000 in funding in the pre-seed stage.

• Spearheaded the development lifecycle from conceptualization to execution, overseeing database architecture, backend infrastructure, and front-end design to ensure seamless integration and optimal performance.

• Led the data science team in the conceptualization and development of an energy generation forecasting tool using advanced statistical analysis and machine learning algorithms.

Academic Appointments

Adjunct Professor at TrineOnline University

Part Time, June 2024 - Current

• Delivered course materials focused on statistical methods and analysis techniques pertinent to IT research. Guided students in applying statistical tools to real-world IT problems and projects.

• Taught fundamental and advanced concepts of computer science using Python. Created hands-on projects to reinforce learning and encourage practical application of programming skills.

• Instructed students on the principles and practices of data science and big data analytics.

Data Science Instructor at Simplilearn

Part Time, April 2023 - Current

• Instructed comprehensive courses on Data Science, covering a spectrum from foundational mathematical and statistical concepts to advanced topics.

• Designed and delivered engaging modules on data exploration, visualization techniques, and best practices, fostering a deep understanding among students.

• Equipped learners with practical skills in applied Data Science and Machine Learning, utilizing both R and Python programming languages.

• Received consistently positive feedback for adeptly balancing theoretical knowledge with hands-on learning experiences, ensuring students grasp concepts effectively and confidently apply them in real-world scenarios.

Memberships

• American Society for Quality (ASQ)

• Institute of Industrial and System Engineering (IISE)

• American Society of Nephrology (ASN)

• Advisory board lead at Algebra Intelligence (2022 – Present)