I’m a data scientist and a writer. In the data, I work with numbers and calculations; on the page, with letters and sentences. Two methods, but always one intention: to understand the world around me and shape its complexity into story.
Data Experience
Staff Data Scientist
BetterUp
2019 – 2026 (7+ years)
San Francisco, California
BetterUp is a platform that provides coaching and tools for professional development and personal growth.
First data hire, established data-driven culture and built foundational systems that enabled scaling from 2 to 20+ team members across data science, analysts, and analytics engineers.
Product – B2B
• Applied k-means clustering to segment B2B users by engagement patterns, proving that all groups converged to same behavioral growth outcomes regardless of engagement intensity.
• The findings shifted product and sales narrative from pushing usage to outcome-based value delivery.
Product – B2C
• Defined B2C customer personas using logistic regression and survival analysis, identifying demographic drivers of subscription and a critical 4-month churn inflection point.
• Framework was adopted by Product and Growth to prioritize acquisition, re-engagement, and lifecycle targeting.
Go-To-Market (GTM) – Planning
• Developed an account-level parametric Total Addressable Market expected-value model (growth, penetration, affordability) and applied it within a constrained linear optimization to assign sales territories.
• The work reduced planning uncertainty, maximized sales coverage and per-rep efficiency, and compressed executive planning cycles by 2 months.
Go-To-Market (GTM) – Interventions
• Developed predictive churn model combining product engagement, user journey and member behavioral data with deal attributes.
• Enabled Customer Success and RevOps to shift from reactive to proactive retention with 6-month early warnings and data-driven prioritization of at-risk renewals.
Finance – Net Revenue Retention
• Built customer segmentation via clustering and rate-volume-mix decomposition to diagnose net revenue retention drivers.
• Analysis revealed prior-year growth was predominantly volume-led, informing GTM strategy shift toward high-retention segments.
Finance – Unit Economics
• Built a nested unit-economics attribution model to estimate license-level adjusted gross margin, quantifying deviation from expected margin due to non-contractual usage and decomposing cost structure into contractually compliant vs. non-compliant components.
• The results drove guardrail feature development in the product, established new implementation team motion, and reduced cost leakage.
Finance – Cost of Goods
• Conducted a cost attribution analysis for COG and identified perverse incentive where per-minute overage billing encouraged extended sessions with negative user value.
• Redesigned compensation model to flat-fee structure that protected user satisfaction while remaining cost-neutral.
Data Architecture
• Architected foundational data architecture connecting Salesforce opportunities to product usage by designing cross-system entity resolution with Engineering and GTM Systems.
• Enabled first-ever deal-level behavioral analytics and unlocked future predictive modeling capabilities across the customer lifecycle.
Data Infrastructure
• Developed critical data warehouse models and pipelines that provided visibility into the company’s product, operations, and finances.
• Transitioned business intelligence reporting from Mode Analytics to Looker and built critical data pipelines to provide insight into BetterUp’s hiring and recruiting metrics.
Consultant, Applied AI for Business Analytics
Authority Partners
2025 – 2026 (1 year)
Irvine, California
Authority Partners is a global technology strategy consulting and custom software development company.
Designed and delivered an applied-AI curriculum for 30+ managers and executives, driving a measurable 3% increase in labor productivity.
Applied AI Strategy Design
• Embedded with executives across Finance, Engineering, and Talent Management to audit existing workflows — observing day-to-day processes, asking diagnostic questions, and identifying high-leverage opportunities where AI could automate or accelerate decision-making.
• Translated those findings into a structured curriculum of applied homework assignments modeled on real business workflows.
Bespoke Curriculum & Executive Enablement
• Designed and led a bespoke applied-AI curriculum for C-suite, VPs, and Directors (10+ executives) across all teams in the company, consisting of intensive homework assignments, live lectures, and group workshops, all geared toward using data with AI to accelerate and automate decision-making.
• The multi-month-long applied-AI curriculum enabled executives to use Microsoft’s Copilot and OpenAI’s ChatGPT to accelerate and automate revenue forecasting, talent hiring, and employee performance analysis.
Organizational Adoption & Scale
• Scaled the initial executive cohort to 30+ managers through a train-the-trainer model, with senior leaders from the first cohort facilitating subsequent sessions across their teams.
• Curriculum materials (assignments, solution videos, presentations, workshop prompts) were customized for each new cohort and updated as AI tooling evolved.
Productivity Measurement
• Measured productivity impact by collecting hours saved per workflow across trained cohorts. To account for inconsistent self-reporting, applied Monte Carlo simulation to estimate the most likely true hours saved, then translated those into redeployed capacity — quantifying the additional output volume each manager could produce with reclaimed hours.
• The analysis showed a 3% increase in labor productivity (post-training output volume vs. baseline), consistent with gains typically attributed to technological innovation.
Analyst, Marketing Analytics & Strategy
Tatari
2017 – 2018 (1.5 years)
San Francisco, California
Tatari provides marketing data science consulting and media-buying strategy for companies who want to advertise on TV and measure those results.
Joined as one of the first 20 employees and helped build the company’s client-facing marketing analytics foundations and its competitive positioning.
Marketing Analytics
• Built conversion attribution and incrementality models to estimate lift from TV advertising.
• Isolated post-airing conversion effects to inform client budget allocation, ROI measurement, and optimization decisions.
Quantitative Market Intelligence
• Developed competitive expected-value models to estimate competitor TV spend across 10+ clients.
• Informed market positioning, sales strategy, and client advertising budget planning.
Research Analyst, Supply Chain Analytics
MIT Center for Transportation and Logistics
2015 – 2017 (2 years)
Boston, Massachusetts
The MIT Center for Transportation & Logistics (MIT CTL) focuses on supply chain management education and research.
Established a quantitative, cross-brand framework for measuring social transparency in global apparel supply chains, revealing how regulation and firm characteristics shape disclosure behavior.
Measurement Design
• Designed a multi-dimensional measurement framework and adaptive survey methodology to quantify social transparency in global apparel supply chains.
• Developed scoring algorithms evaluating 60 apparel brands across supplier disclosure, audit practices, and purchasing transparency.
Causal and Comparative Analysis
• Conducted mixed-methods analysis combining quantitative scoring, content analysis, and statistical evaluation of regulatory regimes.
• Identified systematic relationships between brand size, legal environments, and transparency outcomes, highlighting the role of regulation in shaping disclosure behavior.
Graduate Intern, Data Analytics
Amgen
2016 – 2016 (3 months)
Greater Los Angeles Area, California
Amgen is a biotechnology company focused on discovering and creating complex biologic drugs to tackle some of the most challenging diseases.
Prevented a low-ROI investment by rigorously evaluating emerging voice and computer-vision technologies against real-world laboratory workflows and data constraints.
Systems Design and Error Analysis
• Partnered with scientists across Amgen to understand day-to-day laboratory workflows, constraints, and failure modes.
• Measured error rates and failure patterns when mapping voice commands and computer-vision inputs to lab-relevant actions.
• Generated company-specific, task-representative datasets to simulate real-world lab conditions rather than relying on vendor demos for Amgen.
Decision Support and Executive Impact
• Synthesized technical findings into decision-relevant insights for leadership.
• Demonstrated that projected productivity gains did not justify investment in voice and vision lab tools.
• Findings directly influenced leadership to halt the investment and redirect resources.
Research Analyst, Computational Modeling
MIT Media Lab
2013 – 2015 (2 years)
Boston, Massachusetts
The MIT Media Lab is an interdisciplinary research lab where art, science, design, and technology merge to create transformative innovations.
Applied computational modeling and optimization techniques across neuroscience and physical systems, replacing manual analysis with algorithmic pipelines and translating conceptual design goals into mathematically constrained engineering solutions.
Computational Modeling
• While at Synthetic Neurobiology Group, developed an algorithmic pipeline to quantify animal navigation behavior in a virtual-reality environment from raw coordinate data.
• Translated 2D positional streams into velocity and distance metrics, eliminating reliance on manual video analysis.
• Implemented time interpolation methods to estimate velocity at unmeasured time points and generate reliable velocity and acceleration profiles.
Systems Design
• While at Playful Systems Group, applied computational fluid dynamics modeling to design a physical installation governed by fluid flow constraints.
• Used Navier–Stokes equations to optimize tube dimensions and reservoir specifications based on desired flow characteristics.
• Converted artistic requirements into engineering constraints, solving optimization problems for tube diameters, lengths, and flow rates.
Writing Experience
Founder, Editor, and Producer
Denis talks to Friends — Magazine
2023 – present (3+ years)
Launched a periodical online magazine Denis talks to Friends to create a time capsule of the world around me, not through my own eyes, but through the eyes of people I find inspiring.
Recognition
• The magazine was named an Honoree at the Webby Awards 2025 in the category Personal Blog/Website.
• It received three Excellence Awards at the Communicator Awards 2025 in the following categories: Writing – Blog, Writing – Profile or Tribute Writing, Website Visual Appeal – Aesthetic
• It was also awarded four Distinction Awards at the Communicator Awards 2025 in the following categories: Website – Photography or Images, Writing – Web Content Series, Social Media (Instagram) Art Direction & Overall Aesthetic, Social Media (Instagram) Use of Photography & Graphics
• It received three Platinum Awards at the AVA Digital Awards 2025 in the following categories: E-Magazine, Blog – Writing, and Blog Series.
Writer
Denis Bozic — Fractal Nonfiction
2016 – present (10+ years)
Launched this site in 2016 to publish in-depth essays, reports, articles, and reviews about my observations on culture, technology, art, and all of the things I consider to be top-notch—across art, film, books, music, concerts, and so on.
Recognition
• Received Honorable Mention at the 94th Annual Writer’s Digest Competition for the essay The unsettling chic is our modern aesthetic of ugliness.
Product Marketing, Data Science
Tatari
2017 – 2018 (1.5 years)
San Francisco, California
Joined as one of the first 20 employees and helped build the company’s client-facing marketing analytics foundations and its competitive positioning.
Competitive positioning
• Wrote and produced the company’s first technical collateral, resulting in 20+ data science white papers, case studies, and articles.
• Launched the company’s new website and worked with the lead designer to establish and integrate the re-vamped brand guidelines across all company’s functions.
Editor and Staff Writer
The Tech (MIT Newspaper)
2013 – 2017 (4+ years)
Boston, Massachusetts
Arts Editor (2014 – 2015)
• Led a team of 15+ writers, project-managed content distribution and coverage, secured interviews with artists, and maintained relationships with PR representatives.
• Edited and proofread articles on a weekly basis, organized submissions, and kept track of writers’ schedule for on-time submissions.
Staff Writer (2013 – 2017)
• Covered multiple regional events (music, theater, exhibitions, dance), interviewed several internationally acclaimed artists, and reported on global art-related news.
• Won 1st Prize Gold Circle Awards in both 2013 and 2014 for Entertainment Reviews (Category N14).
Education
Massachusetts Institute of Technology
Master of Science in Systems Engineering
Department focus on Technology and Policy
Massachusetts Institute of Technology
Bachelor of Science in Biological Engineering