Vetted Forecasting Professionals

“Data/ML practitioner with experience at Airtel and Lincoln Financial delivering measurable business outcomes: improved retention 15% via NLP sentiment analysis and cut response time ~25% using sentence-BERT + FAISS semantic linking. Strong in data quality/identity resolution (SQL + fuzzy matching) and in building production-grade Python workflows orchestrated with Airflow/AWS Glue, including validation and dashboard integration in Power BI.”

“AI/ML engineer who has deployed transformer-based NLP systems to production via Python REST APIs and Kubernetes on AWS/Azure, with a strong focus on latency optimization (p95), reliability, and scalable orchestration. Demonstrates pragmatic model tradeoff decision-making and strong stakeholder collaboration—improving adoption by making outputs more actionable with summaries, extracted fields, and confidence indicators.”

“Data/QA-focused professional with experience at Lonza and Jio Platforms, owning end-to-end data reliability work for QC forecasting (SAP/LIMS) and driving root-cause/corrective actions for recurring environment configuration issues. Strong in SQL-based data standardization/validation, requirements tightening for API consistency, and coordinating multi-workstream delivery using Jira/Azure DevOps.”

Chandan Chalumuri

Screened

Mid-level Data Scientist specializing in ML, NLP, and Generative AI

Tempe, AZ4y exp

“Data engineering / ML practitioner with experience at MetLife building transformer-based sentiment analysis over large unstructured datasets and productionizing pipelines with Airflow/PySpark/Hadoop (reported 52% efficiency gain). Also implemented embedding-based semantic search using Pinecone/Weaviate to improve retrieval relevance and enable RAG for customer support and document matching use cases.”

Erik Moyer

Screened

Director-level Data Science & Analytics Leader specializing in cloud data platforms and AI/ML

Dallas, TX13y exp

“Candidate states they are very familiar with the venture capital/studio/accelerator landscape and expresses strong willingness to pursue entrepreneurship "at all costs," but did not provide details on a current startup, business plan, fundraising, or prior accelerator/VC involvement during the interview.”

scott graham

Screened

Executive customer experience and operations leader in SaaS, EdTech, and enterprise support

New York, NY24y exp

“Founder/operator with an MS in Finance who has helped grow an early-stage company from startup toward scaleup on roughly $400K raised, while delivering 25%+ YoY ARR growth and 100% retention without new capital for 30 months. Differentiates through a sharp eye for overlooked but mission-critical work like data cleansing, strong financial modeling instincts, and a hands-on, trust-building consulting style that wins long-term contracts in underserved sectors.”

David Russ

Screened

Director-level sales leader specializing in public sector and public safety technology

Carmel, IN15y exp

“Public-sector sales leader with nationwide experience selling consulting and modernization services into state agencies across all 50 states, especially HHS, Medicaid, child welfare, and related departments. At Public Knowledge, they built a contract-vehicle- and legislation-driven go-to-market approach that produced more than $7M in new contracts and $2.8M realized in-year, while also leading complex IV&V and modernization deals.”

“Banking and fintech operator who built both an outbound sales pipeline and an investment banking unit from scratch. Combines analytical sales execution with institutional finance expertise, including capital raises, structured debt, regulatory buildout, and translating startup/fintech opportunities into board-approved banking products in the Ghanaian market.”

“Merchandising and buying leader with experience at Rue Gilt, Zappos, and Fisker, owning end-to-end category strategy, OTB, and vendor negotiations across multi-channel e-commerce. Known for structuring high-impact vendor deals (tiered cost breaks, exclusivity, vendor-funded markdowns) and using SKU-level analytics to drive outsized results, including 15% sales growth/8% margin improvement on a $55M category and 80% YoY profit growth from partnership agreements.”

“IBM Power/AIX infrastructure engineer who has owned a large AIX 7.x/VIOS/HMC estate (hundreds of LPARs), handling provisioning, patching, tuning, and incident response. Demonstrated high-availability and recovery leadership with PowerHA failovers and SAN-path RCA/resiliency improvements, plus successful AIX 7.1→7.3 migrations with minimal downtime/no data loss. Also brings modern DevOps/IaC experience (Jenkins + Vault, Docker/Kubernetes, Terraform on Azure) with a focus on secure, repeatable deployments and drift control.”

Rohan Varma Bandari

Screened

Mid-level Data Scientist & Generative AI Engineer specializing in LLMs and RAG

USA4y exp

“Built production LLM + hybrid RAG and multi-agent orchestration systems at Wells Fargo to automate complaint document/audio transcript understanding and categorization, addressing vocabulary drift via embedding + vector index updates instead of frequent retraining. Strong in LLM workflow reliability (testing/benchmarks/observability) and stakeholder-facing delivery with explainability (citations/SHAP-style justifications) and Tableau dashboards.”

Rahul Setia

Screened

Director-level Growth Marketing leader specializing in full-funnel acquisition and lifecycle optimization

Calgary, AB11y exp

“Growth and partnerships professional with experience across fintech (SMB loans) and edtech (ByteLearn), combining SEO-led content ecosystems and performance marketing experimentation with rigorous lead-quality verification. Has closed white-label partnerships in the dental industry and built creator/referral incentive programs, consistently tying initiatives to funnel metrics like leads, MQL/SQL, activations, LTV, and ROAS.”

“Candidate participated in Launch Factory's venture studio selection process, which introduced them to a formalized startup methodology, and then went on to found and recently exit their own business. They are highly motivated to keep building companies, with a clear emphasis on creating products that serve a community and validating market need through product-market fit.”

Cia Hang

Screened

Executive IT and Operations leader specializing in digital transformation and security

Chicago, IL13y exp

“Candidate is very familiar with the venture capital and broader investment landscape, but is not interested in founding a company. They have worked with several TPG-backed or TPG-owned organizations, helping drive business scaling, cost reduction, and execution against investor governance requirements.”

Vincent Osere

Screened

Senior Operations Analyst specializing in business intelligence and financial services

Massachusetts, USA15y exp

“Analytics-focused candidate with hands-on experience turning messy datasets into reporting-ready outputs using SQL, building reproducible Python workflows, and operationalizing metrics in R Shiny dashboards. They stand out for combining structured data analysis with NLP and segmentation in marketplace-style datasets such as Airbnb, real estate, and sports salary data to drive pricing, engagement, and demand insights.”

“Senior data scientist with ~5 years’ experience building production ML/NLP systems in finance (Wells Fargo) and deep learning for sensor analytics in connected vehicles (Medtronic). Has delivered end-to-end platforms combining time-series forecasting with transformer-based NLP, including automated drift monitoring/retraining (MLflow + Airflow) and standardized Docker/CI/CD deployments; achieved a reported 22% precision improvement after domain fine-tuning.”

“Strategic sourcing/procurement professional with experience at Gumpro and Micron leading indirect (MRO/CapEx) and critical component sourcing initiatives. Uses structured category strategy (spend/Kraljic/Pareto), RFX, risk management, and TCO/should-cost models; reports $10M+ savings and lead-time reduction from 60 days to 2 days while mitigating geopolitical/tariff exposure and strengthening supply resilience.”

“Growth/demand gen marketer with strong partnership negotiation experience (notably renegotiating a G2 deal into a 3-year agreement) and a track record of measurable pipeline and ARR impact. Leverages buyer-intent data (G2/Gartner), competitor intelligence, ABM/LinkedIn, and product-led in-app triggers to drive lead growth, conversion improvements, and enterprise upgrades.”

“Built and shipped production generative AI/RAG assistants in regulated financial contexts (S&P Global), automating compliance-oriented Q&A over earnings reports/filings with grounded answers and citations. Experienced across the full stack—AWS-based ingestion (PySpark/Glue), vector retrieval + LangChain agents, GPT-4/Claude model selection, and production reliability (monitoring, caching, retries) plus rigorous evaluation and regression testing.”

“Verizon sales development professional supporting two mid-market AEs, running weekly Salesforce funnel reviews and advancing deals involving 10–250 lines and buying committees from IT manager to VP. Drives results through high-volume, multi-channel outbound sequences (calls, email, text, LinkedIn), consistently exceeding 120% quota and generating $200K+ in quarterly revenue while maintaining ~100 active opportunities.”

Somil Shah

Screened

Mid-level AI/ML Engineer specializing in generative AI, RAG platforms, and LLM agents

San Francisco, CA4y exp

“AI/LLM engineer who has shipped 10+ production applications, including InvestIQ on GCP—a production-grade RAG due-diligence engine that ethically scrapes web/PDF sources, builds a ChromaDB knowledge base, and delivers analyst-style dashboards plus a citation-backed chat copilot. Deep focus on reliability (evidence-only answers, hard citations, refusal gating), retrieval tuning, and orchestration (Airflow/Cloud Composer), plus multi-agent systems (CrewAI with 7 specialized finance agents).”

John Abraham

Screened

Executive Credit Risk Leader specializing in underwriting and lending portfolio management

San Diego, USA21y exp

“Operations leader with deep fintech/lending startup experience (OnDeck Capital, 1st Merchant Funding, ForwardLine, Founders First) building end-to-end underwriting-to-portfolio operations, compliance, and supporting functions like sales/marketing. Known for scaling teams and automating repeatable work—citing growth from ~$3MM to ~$20MM in 2 years—while implementing systems like Salesforce/QuickSight and helping build proprietary funding and portfolio management software. Also provides structured part-time advisory support with clear scope/cadence, including helping set up a global finance company based in Argentina.”

Bharath Lingireddy

Screened

Mid-level Supply Chain Analyst specializing in strategic sourcing and supply chain analytics

Spring, TX5y exp

“Sourcing/procurement professional focused on electronic components, leading end-to-end RFQ and supplier selection through negotiation and delivery. Demonstrates strong data-driven cost management (Power BI modeling, benchmark pricing) and measurable results including ~18% cost reduction, avoiding production delays during shortages, and automating RFQ comparisons to cut cycle time ~40%.”

Bala Venkateswarlu K

Screened

Mid-level Data Scientist specializing in Generative AI, NLP, and MLOps

USA5y exp

“Built and deployed an LLM-powered claims-document summarization system (insurance domain) that cut agent review time from 4–5 minutes to under 2 minutes and saved 1,200+ hours per quarter. Hands-on across orchestration and production infrastructure (Airflow retraining DAGs, Kubernetes, SageMaker endpoints, FastAPI) and recent RAG workflows using n8n + Pinecone, with a strong focus on reliability, cost, and explainability for non-technical stakeholders.”