- Embedded directly with the CEO of an early-stage healthtech startup; translated strategic conversations into a weighted ICP scoring framework, then designed, built, and shipped the internal prospect qualification tool that operationalized it.
- Architected a hybrid rules-based plus AI-enhanced scoring engine using the Anthropic Claude API; integrated clinicaltrials.gov and a second clinical trials REST API to enrich prospects with real-time trial activity, sponsors, and indication coverage.
- Tool replaced manual qualification, output a ranked contact-enriched pipeline across 5 verticals, and remained in production use by the CEO after the engagement ended.
VICTOR DOS SANTOS
Dallas, TX | vamacieldoss@outlook.com | linkedin.com/in/victordoss | github.com/vittonix
SUMMARY
Engineer-analyst who builds production software directly with customers and executives. Shipped four LLM-powered tools end to end in the past year, including an AI prospect qualification system still in daily use by a healthtech CEO. Combines hands-on engineering (Python, SQL, Claude API, agent orchestration, REST integrations) with a consultant's skill set: requirements discovery, executive communication, and turning ambiguous business problems into working software. Trilingual (English, Portuguese, Spanish).
EXPERIENCE
- Built and shipped an AI LinkedIn-content product solo: a 6-agent orchestration system generating posts in ~30 seconds, and a context-aware model integrating NewsAPI to ground output in current events matched to the user's industry and audience.
- Owned the full stack: agent design, prompt engineering, API orchestration, and user-facing interface, concurrent with a full-time master's program.
- Built an internal alumni-search tool for the SMU MSBA cohort: students ask plain-English questions and an LLM with retrieval-augmented generation translates queries into SQL, executes them against the alumni database, and returns matched profiles.
- End-to-end ownership: data layer, retrieval, LLM orchestration, query generation, and interface.
- Built an LLM-powered analysis platform over a primary-source ingestion pipeline: ingests real-time geopolitical and market events and produces structured economic-impact assessments rather than headline summaries.
- Engineered an 8-script SQL pipeline (ingestion, cleaning, feature engineering, risk scoring) over 16K accounts and 2 seasons of behavioral data; built a churn model at 58.1% precision flagging $500K+ in at-risk revenue; delivered a Power BI executive dashboard and tiered intervention plan to senior stakeholders.
- Advised 5+ clients on US market entry; built unit economics, pricing, FX, and scenario models; led regulatory assessments (NAICS/HS, FDA/USDA); presented findings directly to senior stakeholders in English, Spanish, and Portuguese.
EDUCATION
MS in Business Analytics (STEM-designated). Admission Ambassador Scholarship; MSBA Scholar.
BS in International Economics, Minor in Finance. Dean's List.
TECHNICAL SKILLS
- Languages and Data: Python, SQL (advanced), R, JavaScript, HTML/CSS, Spark, Advanced Excel, Power BI, Tableau
- AI Engineering: Anthropic Claude API, multi-agent orchestration, RAG, NL-to-SQL, prompt engineering, REST API integration
- Certifications: Anthropic Claude Code in Action; Anthropic AI Fluency; Oracle OCI 2025 AI Foundations Associate; AWS AI Agent Hackathon
ADDITIONAL INFORMATION
- Work authorization: US F-1 STEM OPT Work authorization; Italian (EU) and Brazilian citizen; full EU work rights
- Athletics: Brazilian National Golf Team; Brazilian Navy Olympic Sports Program; NCCGA Regional Tournament Winner.
SUMMARY
Data and business analyst who turns ambiguous problems into pipelines, models, and decisions executives act on. Built an 8-script SQL pipeline and churn model flagging $500K+ in at-risk revenue; designed weighted scoring and financial models adopted directly by CEOs; shipped four analytics and LLM tools end to end. Fluent across SQL, Python, financial modeling, and executive communication; trilingual (English, Portuguese, Spanish).
EXPERIENCE
- Engineered an 8-script SQL pipeline (ingestion, cleaning, feature engineering, risk scoring) over 16K season-ticket accounts across 2 seasons of behavioral data.
- Built a churn and revenue-risk model at 58.1% precision, flagging high-risk accounts representing $500K+ in projected at-risk revenue.
- Surfaced 4 counterintuitive renewal-behavior findings through hypothesis testing and EDA; delivered a Power BI executive dashboard and a P1/P2/P3 tiered intervention plan to senior stakeholders.
- Partnered directly with the CEO to translate strategic conversations into a weighted ICP scoring framework qualifying prospects across 5 business verticals.
- Designed and shipped an internal prospect-qualification tool combining a rules-based engine with AI-enhanced scoring (Anthropic Claude API); integrated clinicaltrials.gov and a second REST API for real-time prospect enrichment.
- Conducted market research and stakeholder mapping across five verticals; synthesized findings into executive presentations informing a 12–24 month go-to-market roadmap. Tool remained in production use after the engagement.
- Advised 5+ clients on US market entry and financial viability; built unit economics, pricing, FX, COGS, break-even, and scenario models to evaluate distributor, e-commerce, and joint-venture structures.
- Led regulatory risk assessments (NAICS/HS codes, FDA/USDA compliance) and owned competitive intelligence across consumer products, food and beverage, and B2B services.
- Presented findings and risk assessments directly to senior client stakeholders in English, Spanish, and Portuguese.
- Built and shipped an AI content product solo: a 6-agent orchestration system and a context-aware model integrating NewsAPI to ground output in current events; owned the full stack (agent design, prompt engineering, orchestration, interface) alongside a full-time master's program.
- Built an internal alumni-search tool: plain-English questions are translated into SQL via an LLM with retrieval-augmented generation, then executed against the alumni database. Owned the full stack from data layer to interface.
- Built an LLM-powered analysis platform over a primary-source ingestion pipeline that produces structured economic-impact assessments of real-time geopolitical and market events rather than headline summaries.
EDUCATION
MS in Business Analytics (STEM-designated). Admission Ambassador Scholarship; MSBA Scholar.
BS in International Economics, Minor in Finance. Dean's List.
TECHNICAL SKILLS
- Data and Analytics: SQL (advanced), Python, R, Spark, Advanced Excel, Power BI, Tableau
- Modeling: Financial modeling (unit economics, COGS, FX, scenario, break-even, margin), churn risk modeling, predictive analytics, hypothesis testing, A/B testing, ICP and segmentation
- AI Engineering: Anthropic Claude API, RAG, NL-to-SQL, multi-agent orchestration, REST API integration
- Certifications: Anthropic Claude Code in Action; Anthropic AI Fluency; Oracle OCI AI Foundations; AWS AI Agent Hackathon
ADDITIONAL INFORMATION
- Work authorization: US F-1 STEM OPT; Italian (EU) and Brazilian citizen; full EU work rights
- Athletics: Brazilian National Golf Team; Brazilian Navy Olympic Sports Program; NCCGA Regional Tournament Winner