Vetted Forecasting Professionals

Daniel Berhane Araya

Screened

Senior AI/ML Engineer specializing in production-grade LLM systems for regulated finance

Fairfax, VA9y exp

“AI/LLM engineer with published work who built FinVet, a production financial misinformation detection system using multi-pipeline RAG, confidence-based voting, and evidence-backed outputs (F1 0.85, +37% vs baseline). Also built NexusForest-MCP, a Dockerized Model Context Protocol server exposing structured global deforestation/carbon data via SQL tools for reliable LLM tool use. Previously delivered borrower risk-rating (PD) models at BMO Financial Group that were validated and integrated into an enterprise credit system through close collaboration with credit officers and portfolio managers.”

Brian Mar

Screened

Senior Data Engineer specializing in data infrastructure and marketing/CRM analytics

San Mateo, CA8y exp

“Salesforce-focused implementation/solutions engineer from Full Circle Insights who owned end-to-end campaign attribution and reporting deployments for multiple customers at once (3–5 concurrently), including sandbox testing, KPI monitoring, and rollback-safe migrations from legacy reporting. Also builds personal multi-agent workflows and uses Claude Code to rapidly scaffold data/analytics scripts like an advertising optimization parser over CSV/XLSX inputs.”

“Data engineer focused on marketing/web analytics and external API pipelines, handling ~10M records/week. Built Azure-based ingestion and PySpark transformations with rigorous data quality checks, then served curated datasets into Synapse/Redshift for Power BI. Also designed an Airflow-orchestrated crypto REST API pipeline with monitoring, retries/exponential backoff, schema-change detection, and backfill-friendly reprocessing.”

“Sales professional with experience building outbound motions in both life sciences and field-services environments. Stands out for turning lab-level wins at Fred Hutch into an institutional sale through multi-threading and champion-led expansion, and for helping Roadside Response grow from no revenue to $5M+ in under 3 years by refining ICP and compliance-driven messaging.”

“Analytics professional with hands-on experience unifying marketing-platform data through Fivetran and Snowflake, building reporting views, and catching source-to-report issues like timezone-driven spend discrepancies. They also owned subscription LTV/cohort analysis and engagement tracking initiatives, partnering with e-commerce, product, and senior leadership to turn behavioral and demographic data into dashboards, lead-qualification metrics, and lifecycle marketing insights.”

“Analytics professional with hands-on experience in supply chain and logistics transformation, including enterprise data preparation in SQL, Python automation, and Power BI reporting. They highlight ownership of end-to-end digitization work at Blue Dart, where they defined operational metrics, aligned cross-functional stakeholders, and delivered measurable gains in transparency, reporting efficiency, and implementation quality.”

Sarfaraz Karim

Screened

Mid-level Finance Analyst specializing in product, analytics, and technology strategy

Chicago, IL4y exp

“Startup-oriented business development candidate who built outreach and pipeline processes from scratch for early-stage companies including a law firm and consulting-related work. Stands out for highly persistent, research-driven prospecting across social, email, phone, and even in-person outreach, including winning a hotel client after failed remote attempts by showing up with a tailored strategy.”

“CTO candidate who independently built an AI bot to assist store associates by first analyzing manual workflows, then delivering a nights/weekends POC that earned executive sponsorship and immediate funding. Successfully scaled the initiative to production by reallocating developers and later secured budget for a dedicated FTE within four months, citing strong adoption and cost savings.”

“Recruiting Operations leader with 10 years across transportation, staffing, and tech, managing teams up to 40 in both remote-first and onsite settings. Known for rebuilding end-to-end recruiting workflows (interviewing, pay equity/salary transparency, onboarding automation) and delivering measurable outcomes including 140% revenue growth, plus strong ATS analytics and HRIS/LMS implementation experience (Workable, SmartRecruiters, Paycom, Litmos).”

Brandon Call

Screened

Executive Talent Acquisition & People Operations leader specializing in global recruiting and HR tech

20y exp

“Global Talent Acquisition/Recruiting Operations leader who has scaled and standardized end-to-end recruiting across regions and large teams (5–95), including major ATS/HCM implementations (Workday, Lever, Greenhouse, BambooHR). Known for rebuilding “Frankenstein” recruiting orgs into measurable operating models—cutting time-to-fill 28%, improving forecast accuracy to 5–10% variance, and boosting hiring manager satisfaction by 30+ points—while building offshore sourcing capability (South Africa delivering 55–60% of early funnel).”

Judy Garza

Screened

Director-level HR & Talent Acquisition leader specializing in workforce transformation and HR operations

Rockwall, TX23y exp

“Talent Acquisition/Recruiting Operations leader who owned end-to-end recruiting ops and served as the Workday TA implementation SME at DART, standardizing a fragmented hiring process into documented SOPs, dashboards, and SLAs that cut time-to-fill by 52% in one year. Previously led recruiting/resource/payroll teams supporting 10k+ independent catastrophe adjusters, building surge workflows and compliance checkpoints to staff disaster events within hours.”

Laasya Muktevi

Screened

Intern Machine Learning Engineer specializing in forecasting, NLP, and RAG systems

San Jose, CA5y exp

“Intern who built and deployed a production LLM-powered contract analysis system for finance teams: Azure Document Intelligence for text/table extraction plus Gemini prompting to surface key terms and risks via an async API and simple UI. Emphasizes reliability in production with fallbacks, guardrails against hallucinations, and operational concerns like latency/cost/versioning, delivering summaries in under 30 seconds instead of hours.”

“Founder/outbound sourcing professional who builds high-trust pipelines through network-driven outreach, LinkedIn research, and in-person community events, then nurtures prospects with low-pressure, transparent multi-call processes. Created and used a custom Salesforce module to track founder candidates, manage stages, and run disciplined follow-up cadences with strong internal/external communication.”

“Analytics-focused candidate with experience building SQL/Python pipelines and dashboards for donor, campaign, and website performance reporting. They have worked with messy multi-source data, standardized metric definitions, and delivered automated reporting that reportedly reduced manual effort by about 80%.”

Atharv Sankpal

Screened

Mid-level Data Analyst specializing in financial and healthcare analytics

Baltimore, MD4y exp

“Analytics professional with experience at JPMorgan and Deloitte, focused on financial and risk data. They stand out for building scalable SQL/Python data pipelines, KPI and forecasting dashboards, and retention/cohort metrics that improved reporting reliability, forecast accuracy, and planning speed.”

“Healthcare analytics professional with TCS/Humana experience turning messy claims and eligibility data into reliable reporting assets using SQL and Python. They combine strong data engineering and analytics execution with stakeholder management, including automating monthly claims reporting from half a day to under 5 minutes and driving a provider outreach effort that reduced claim rejection rates by about 20%.”

“Banking and lending professional with 15+ years managing a nationwide book of business and a track record as a top 5 lender at First Bank. Brings strong end-to-end commercial lending execution, including a $5MM healthcare facility deal, 3-5% YoY revenue growth, and a 2025 pipeline totaling $65MM in closings.”

“Senior Yardi implementation professional with deep experience in affordable housing and accounting software rollouts for complex property management clients. Grew from learning the platform in year one to leading large-scale implementations of up to 10,000 units, managing five concurrent projects, coordinating cross-functional teams, and serving as a high-performing customer-facing problem solver.”

George Toutoungi

Screened

Executive operations leader specializing in CPG, SaaS, and logistics

New York, NY11y exp

“Operator-first leader with experience spanning startup analytics, GM/COO-style P&L ownership, and operational transformation in high-growth environments. Built the analytics backbone at Point Pickup, partnered with PE on unit economics, and at Manic Panic drove 20%+ YoY revenue growth while cutting OpEx 17%+ by installing SOPs and better procurement forecasting.”

“Growth and operations leader with 12+ years spanning corporate, private equity, entrepreneurial, and consulting environments. They have led multi-brand and international GTM initiatives at scale, including managing $12M+ budgets, overseeing an 850+ associate sales organization, launching a 4-language digital contract program, and driving 30% consecutive annual growth plus $8M in incremental revenue.”

“Exited founder who spent 12 years building and operating The Konery, scaling it from a parents’ kitchen into a nationally distributed CPG manufacturing business in Brooklyn and selling it in 2025. Deep hands-on operator with end-to-end CEO experience, including doubling capacity through machinery implementation and running SQF certification for five years with two perfect audits.”

“Built and deployed a production LLM-powered RAG assistant for healthcare teams (care managers/support) to answer questions from clinical and policy documentation, emphasizing trustworthiness via improved retrieval, reranking, and strict grounding prompts to reduce hallucinations. Also has hands-on orchestration experience with Apache Airflow for end-to-end ETL/ML workflows and applies rigorous testing/metrics (hallucination rate, tool-call accuracy, latency, cost) to ensure reliable AI agent behavior.”

“Early-career engineer from BNP Paribas who drove a large-scale observability modernization—selecting and implementing Prometheus/Grafana for a 2000+ server estate, then productionizing it on Kubernetes via Docker/Jenkins. Known for hands-on demos, strong documentation/templates, and pragmatic troubleshooting (including custom Python metrics) that improved visibility and cut debugging time by ~60%.”

“Built production LLM/RAG platforms for financial services to enable natural-language Q&A over large policy/compliance document sets stored in Snowflake and SharePoint. Strong in MLOps and orchestration (Airflow, ADF, Step Functions, MLflow) and in solving real production issues like stale embeddings and model performance, including an incremental Snowflake Streams sync that cut processing time from hours to minutes.”