• Provide subject matter expertise to Founder & CEO on data science, AI, and general data operations.• Collaborate and ideate on product vision, market fit, and tangible steps to creation of POC & fundraising.https://teamwrkr.comIG: @teamwrkrhttps://www.instagram.com/teamwrkr/

• Part of USAF Det. 12 Data Ops & Enterprise AI; redesigning and modernizing core battle management software.• Collaborate with USAF, AFRL, MITRE, Raytheon, and other DOD on data science, engineering, and AI challenges.• Lead large-scale, multi-domain engineering efforts, ensuring data science & engineering best practices are followed.• Manage projects, teams, and key stakeholders to ensure timely and quality deliverables.• Envision and maintain product roadmaps, relationships, and pitch new ideas & strategies to leadership.• Solve problems with graph optimization and deep learning for various logistic challenges within USAF ops.• Enabled and drove product adoption with USAF 609th AOC in Al Udeid and with other NATO forces abroad.

• Co-founded B2B SaaS start-up in fledgling “belief marketing” space.• Solved early and novel problems and completed early proofs-of-concept for investor pitches and diligence.• Successfully raised ~$430k pre-seed funding from various angels.• Successfully acquired paying beta customers for novel, Shopify-based, web application.• Advised on product, strategy, data, machine learning, and artificial intelligence.

• Worked directly with COO, CTO, and Business Ops to solve problems in TV advertising attribution.• Created ad hoc solutions for clients’ custom advertising studies (Comcast, NBCUniversal, ABC-Disney-ESPN, etc.).• Executed deliverables under extreme time-pressure and scarce resources at very early growth-stage startup.• Successful exit with LiveRamp; $150 million acquisition in July 2019; 11th employee.

• Worked directly with CEO & CTO to solve business problems in the financial sector using machine learning.• Created product roadmaps and execution strategies in conjunction with Product and Executive Management.• Managed relationships with external collaborators & vendors to solve novel problems & ensure strong partnerships.• Liaised between C-Suite and department heads to ensure communication between Business, Science, & Engineering.• Conceived, designed, and implemented original systems and pipelines in collaboration with Engineering.• Built an end-to-end, automated, machine-learning-powered marketing app in 4 months, ensuring a successful MVP launch for beta customers (small to mid-size financial institutions).

• Conceived, designed, and implemented a big data analytics platform, engine, and web tool to leverage flagship data assets and democratize analytics capabilities; achieved substantial time savings and greatly increased work efficiency, benefiting organization-wide access.• Served as Product Manager, Project Lead, and Chief Architect for IDIOMatic (rebranded from IDIOM).• Managed a $70,000/month contract servicing Bank of America.• Conceived, designed, and implemented original algorithms, analyses, and workflows for both custom client requests and standardized in-house solutions.• Devised novel ways to leverage statistics, machine learning, and modern data science algorithms, models, and techniques to enhance, improve, and advance analytics capabilities.• Collaborated with other data scientists and business analysts to create effective strategies leveraging business intelligence to meet clients' needs.• Coordinated junior data science resources on short- and long-term projects as well as immediate ad-hoc deliverables.• Mentored co-ops and interns, and trained new data science resources on concepts, algorithms, workflows, procedures, and general domain knowledge.• Interviewed, on-boarded, and trained new data scientists, authoring numerous on-boarding lessons.

I was recruited out of the USDA to work for the Dana-Farber Brigham and Women's Cancer Center – a joint, medical oncology, diagnostics and research lab combining the efforts of DFCI's Center for Cancer Genome Discovery (CCGD) and BWH's Center for Advanced Molecular Diagnostics (CAMD). Originally brought on board to perform operational tasks in Bioinformatics and Computational Biology, I ended up routinizing, automating, and streamlining ~80% (in my estimation) of the role for which I was hired via custom software I conceived, designed, and wrote during the time I was there.

While pursuing my Master's at Tufts, I worked part-time at Northeastern University to create and deliver educational content to one of their Data Science bootcamps (Level). I did the following:• Created PowerPoint slides and programming exercises for students learning R, SQL, and Machine Learning.• Acted as a TA for laboratory sessions via Slack; available almost 24/7 for answers via Slack Mobile App.• Fostered positive learning environment for students in coordination with a team of other educators.

• Constructed biological databases and GUIs using MySQL, Python, and HTML/JavaScript.• Scraped, mined, analyzed, and synthesized DNA microarray data using R and Bioconductor software.• Analyzed human and rat microbiome data using QIIME, Emperor, & PICRUSt software.• Used supervised learning techniques to model murine neuronal imaging data to discriminate neuronal subtype in silico.• Created heatmaps and other visualizations for talks, reports, papers, and presentations

Software:• Provided technical support and solutions for a variety of web, database, and programming needs, including Django/HTML/JavaScript, MySQL & PostgreSQL, and Python/Unix.• Programmed and troubleshot graphical user interfaces using LabVIEW software.• Designed and drafted mechanical parts and equipment using Ashlar-Vellum software.• Updated and performed database-related tasks using FileMaker Pro software.Aerospace:• Delicately handled and prepared substrate and reagents for magnetron sputtering thin-film deposition coating.• Assembled, disassembled, and repaired a wide variety of mechanical and electronic devices (e.g., electron beam guns, heat lamp assemblies, oxygen/nitrogen/argon gas flow lines, thin film deposition coating chambers).• Meticulously cleaned mechanical parts, equipment, and substrates via sandblasting, acetone washing, organic solvents, sulfuric acid bathing, and mechanical grinding and polishing.• Carefully performed quality control of final product using Cary 5000 spectrophotometers.• Performed laser cutting and engraving of parts and substrates.• Ensured proper and accurate inventorying, documentation, and record-keeping of parts, materials, substrate, compounds, etc.