★ Provide data science consulting and expertise to various start-up companies to help develop and optimize their data solutions and infrastructure (including data analytics, business intelligence, data modeling and data warehousing capabilities). ★ Provide fractional CTO services to early stage startups offering leadership in all areas of technology as well as hands-on work.★ Utilize leading-edge AI and ML technologies to build and enhance client organizations' data engineering and analytics capabilities in addition to hiring, training, and mentoring data science and engineering teams for multiple clients.Key Engagements:Dojo – A real estate startup that offers workplace optimization and AI analytics solutions that support floor space planning and greater workplace efficiency.• Created a large data analysis pipeline to deliver insights that allow users to optimize space utilization, collaboration, and productivity – a solution used by several major financial institutions that represents millions in annual revenue.• Developed an AI system that generates optimized floor plans and seating arrangements using genetic algorithms to enable users to improve multiple aspects of the office experience, including retention and employee morale.PerfectRec – An early-stage startup that aims to provide the ultimate product recommendations.• Recruited by the CEO to enhance and optimized the company’s core recommendation engine. • Developed and integrated a method to create a score that determines the company’s confidence in its recommendations, regardless of product.StreamElements – A gaming startup with live streaming engagement and sponsorship tools and that integrate in top game streaming platforms.• Created an ML model that determines the optimal price to pay content creators by predicting the probability creators will accept an offer, which increased creator accept rates, maximized profits, and enabled the company to build more accurate campaign strategies.

Head of Realogic's data practice: Data Science, Data Engineering and Data Analytics.Working on a generative AI prototype: Using large language models (LLMs) in healthcare.

Key Projects & Achievements:o Launched AccurBeat, a heart data-recording app for the Apple Watch with a corresponding web application for clinicians. o Enhanced AccurAI, a ML/evolutionary computation hybrid that analyzes ECG data to detect heart conditions in real time.o Optimized AccurWeb, a web portal that allows clinicians to submit ECG recordings to AccurAI and receive diagnoses.o Supported the CEO in raising $900K in funding from 2 pre-seed rounds.

★ Directed a 5-member team of data scientists in developing and integrating a wide range of NLP solutions (including 3 different recommendation systems) to provide personalized financial news article recommendations through the company’s core product.Key Projects & Achievements:o Used a collaborative filtering model, a content-based filtering model, and deep learning to design the 3 recommendation systems. o Created an entity extraction model for financial news articles in both English and Dutch.o Designed classification models to identify life goals in CRM notes as well as business sectors discussed in financial news articles.o Assisted the executive team in raising a $1.9M seed round.

Freshly was acquired by Nestle in Q4 2020.★ Spearheaded the setup and development of the data department (including data science, data engineering, business intelligence, and analytics functions) while providing hands-on leadership to a data scientist and 3 analysts embedded in other departments.Key Projects & Achievements:o Established the data warehouse and a Looker instance that allowed employees to analyze and visualize data on their own. o Designed and integrated the meal capacity prediction model with the backend to provide forecasts on expected meal demand.o Created the Freshly persona model, which drove audience segmentation to enable improved targeting of marketing campaigns.

★ Guided and supervised a 5-member team of data scientists in building predictive models to solve complex problems in the company’s Claims Business Unit, in addition to delivering presentations to executive leadership (including the Chief Science Officer).Key Projects & Achievements:o Crafted an ML model for the Remaining Payment project to enable adjusters to predict payments incurred by an insurance claim.o Built an ML model for the Remaining Duration project to help adjusters predict the remaining time till an insurance claim completes.o Designed a genetic algorithm-based text mining framework to exploit previously underutilized data and improve model accuracy.

★ Played a key leadership role in creating and growing the data science department at a company that is now a tech unicorn, with oversight of all strategic planning, technology roadmap development, goal definition, team management, and corporate culture building. Managed team of two: Data Scientist and a software developer. ★ Formulated and implemented technology strategy with a focus on increasing data availability and generation of actionable insights, including leading ad hoc consumer behavior and marketing ROI analyses to enhance sales strategy and optimize marketing spending.Key Projects & Achievements:o Designed and integrated a recommender system for the firm’s event app that drove 30% growth in revenue.o Created a fraud detection system for the firm’s couponing system, resulting in thousands of dollars in monthly savings. o Supported leadership in raising $8.25M in Series A funding and led investor outreach and analysis for $12M in Series B funding.

★ Delivered high-level data science consulting and advisory to prospective clients in various industries such as finance, healthcare, pharma, and electronics using best-in-class ML and data mining algorithms. Key Projects & Achievements:o Directed an engagement with Morgan Stanley Wealth Management’s Insights and Analytics group to secure $6.1M in projects.o Crafted a propensity model to predict financial advisors’ propensity to transact and transaction dollar values for 1.2K+ categories.o Designed a segmentation model of the firm’s financial advisor population and trading behavior.

★ Drove the design and development of cutting-edge tools that enabled rapid analysis of multi-terabyte datasets and strengthened the company’s cloud-based platform for big data discovery and data sharing.Key Projects & Achievements:o Developed 15+ integrations to automatically populate the data warehouse and analytics platform with data from various sources.o Built a system to facilitate real-time tracking, capture, and loading of topics of interest and other relevant information on Twitter.

Managing technology consultancy. This includes:Creation of several applications for usage by the company and its clients:- Adaptive web pages: improve responsiveness and effectiveness of landing pages by changing their structure and text using genetic algorithms (Java).- A framework for follower management of Twitter accounts (Python)

Developed trade processing and automation applications. Served as a member of the global, front-office FX & Derivatives Prime Brokerage technology team. • Created a tool for matching prime brokerage trades in various systems that streamlined a time-consuming process and helped to prevent trade issues.

Ph.D. studies focused on machine learning and evolutionary computation, more specifically, on developing methods for increasing the effectiveness of evolving neural network agents. Research was conducted using a flexible multi-agent framework created for the purpose of investigating a diverse set of computational problems. This framework consisted of a population of neural network based agents whose structure and weights were evolved using genetic algorithms. The system was written in C++.

Managed the primary programming team (7 people). Interim CTO: Managed IT department until CTO joined. Redesigned MedicalNecessity.com, the company’s main product. Architected and developed three products: the Edit engine, Veri-Claim, the HL7 server. Created internal applications used by all developers.