Justin Petrillo

• Managing full quant, qual, & OSINT research project lifecycle
• Advanced Analytics - Regression Analysis (CFA, PCA, & SEM), Correspondence Analysis, Correspondence Analysis, Hypothesis Testing, Segmentations, & TURF
• Programming with Gen-AI API for enriching research, analyzing data, and building synthetic client products
• Projects in B2B Technology, Consumer Finance, Consumer Retail, & Life Science Pharma

• Led full research project life-cycle in quant-qual hybrid studies - setting objectives, moderating and analyzing qual IDIs, q'naire dev, screeners, survey programming, fielding via email campaigns & managing vendors, data QA, data analysis, advanced analytics, report dev and story-telling, and stakeholder readouts
• Led or supported most of life-cycle for 10+ projects.
• Wide range of technologies - cloud services, CRMs, ERPs, HRISs, Open Source, geolocation data, data protection, Cybersecurity TH & ASM, mental health services, PM tools, & fin tech
• Variety of studies - brand awareness, competitive intelligence, ideal customer profiles, and ROI.
• Quant SME - cross-tabs, indexing, segmentation, removing bias, effect size estimations, hypothesis testing, multi-variate regression, k-means clustering, custom metric dev, and OSINT TAM/SAM estimations.
• Programmed analyses & viz in Python, R, & Excel.
• Created quant materials and videos
• Dev custom web app product in Flask for viewing survey data cuts

• Managed, optimized, and grew Display & Social Online Retargeting Channel on Facebook, Google, & AppNexus Ads Vendor Platforms to meet ROI goals using internal attribution system
• Analyzed and monitored campaign performance, identified trends via linear & exponential modeling, and performing root cause analysis w/ issue-trees and hypothesis testing
• Set near-term ROAS targets, developed feedback-control system for adjusting bids via elasticity modeling
• Developed automated Dashboards in Excel and Connected Sheets w/ Google Big Query for daily market-signal monitoring, bid adjustment recommendations, weekly reporting, and quarterly forecasting
• Daily ad hoc SQL queries to analyze customer segments/audiences and campaign performance
• Innovated and tested initiatives to optimize campaign performance by defining KPIs, designing A/B experiments, and statistically evaluating campaign success for incrementality, using different measurement techniques including FB Lift
• Built and refined data science models of customer conversion & purchase-value predictions using k-means clustering in Python to optimize audience targeting and segmentation, leading to incremental efficient growth in channel revenue by +$1M/Yr
• Developed research project to analyze and target business customers based upon cyclical behavior, inventing signal processing technique for cycle-extraction and architecting Machine Learning algorithm for feature-set minimization in signal discovery
• Translated business needs into technical problems and scoped engineering work, leading cross-functional partnership efforts in data engineering and data science across the company

• Researched political-economic roots of migration from Honduras via qualitative IDIs of officials, civil society actors, and migrants; dynamical systems modeling of migration rates, rates of violence, and centralized state corruption.
• Developed quant survey instrument to measure diversity of reasons in the decision to migrate
• Developed proposed national program under cost-time constraints for reintegration of returned migrants as empowered researchers; project stakeholders in Honduran government, USAID, & State Department.
• Architected proposed at-scale migrant reintegration management system to diagnose systemic sources of migration and engage returned migrants on strategic responses
• Software Engineering of web app, building front-end UI portal for a branching survey instrument in HTML-CSS and prototyping backend using tree-data clustering and hyperbolic modeling.

• Member of Prof. Sean Cleary's TreeSpace Working Group (TSWG)
• Performed non-linear hyperbolic functional analysis in tree-space distributions using Kernel Density Estimation (KDE)
• Built and tested Python & Java algorithms to compute n-dimensional PCA/KDE hyper-line inference on phylogenetic tree samples

• Part-time tutoring in statistics for 6 years.
• Developed data science curriculum, tutorials, and research applications available at: https://www.mathacademytutoring.com/blog/author/jpetrillo
• Taught SEIR modeling serminar with applications to COVID-19 epidemic forecasting w/ economic feedback dynamics.
• Performed business analysis on pandemic student engagement, B2C/B2B Content Marketing, and website design.

[Pivot of Sociable Health]

• Epidemiology meta-analysis research into Mental Illness epidemic, identifying origin in distribution of sub-clinical population, estimating size via correlation of psychopathology (BPRS) and wellbeing (“Global Life Satisfaction”) scales
• Market research into this target population, i.e. ‘worried-well,’ estimating TAWM to be 760 Mil and the labor shortage of mental health professionals to be 700K, and identification of barriers to treatment in stigma, distance, & cost
• Business Development of platform model for matching non-clinical ‘worried-well’ clients w/ unlicensed alternative professionals to reduce cost while providing quality control metrics and care-journey integration services, to meet the gap between demand and supply of non-clinical mental health services as preventative and supplemental care
• Solutions Architecting of peer-to-peer and professional-matching platform to reduce stigma & cost for distributed cognitive behavioral therapy via peer-to-peer social networking, quality control evaluation crowdsourcing, and coordinating unlicensed alternative health practitioners.
• Software Design & Engineering of multi-functioning web app for users to post their issues, find similar issues, crowdsource advice, rate feedback, and connect with professionals; performed UX mapping, UI wire-framing, data architecting, system design, and algorithms
• Product Management of 4 person full-stack technology team, developing and testing Beta web app platform w/ PHP backend, for which an intellectual property (Miming©) was awarded.

• Meta-analysis research estimating effect of social isolation mediation by virtual support networks on disease recovery via immune stress reduction mechanisms of social trust in common group identity.
• Business Development of model where users engage in virtual disease-based support groups for health insurance premium reduction.
• Solutions Architecting of platform for users to communicate in safe virtual spaces, organized by pathology, over best coping strategies and connect with professionals
• Software Design & Engineering of web app for users to join pathology-specific groups, form connections with other users, communicate safely under strict privacy concerns, and find professionals for sessions; performed UX mapping, UI wire-framing, data architecting, system design, and algorithms
• Product Management of 4 person full-stack technology team, built a virtual portal application prototype in Azure

• Performed financial accounting analysis of business and revenue projections
• Discovered customer inelasticity to course prices, which motivated price increases and the doubling of business-line revenue
• Conducted A/B testing of email remarketing campaigns and automated emailing to inactive clients
• Designed SQL database to record business transactions, class sales, student-client profiles, and teacher evaluation surveys
• Developed business analytics system in SQL and Python, along with dashboard interface for live analysis
• Customized class-recommendation engine in Python