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Vetted Forecasting Professionals

Pre-screened and vetted.

ForecastingSQLPythonTableauAWSPower BI
BG

Bryan Guckavan

Screened

Executive transformation leader specializing in AI-enabled operations and Lean Six Sigma

San Diego, CA26y exp
iRhythmCapitol Technology University

“Pre-seed founder (pre-product) building a new enterprise control layer for AI-enabled organizations focused on governed autonomy and decision-cycle compression; thesis formalized in their book "The Decision Velocity Era." Former CEO of Evaluation Solutions who built an internal proprietary operating system, proved it in live operations, commercialized it as SaaS, and enabled growth to $120M+ in contracted revenue.”

Performance ManagementSaaSWorkflow AutomationLoggingRisk ManagementCompliance+100
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UP

Uday Pandya

Screened

Director-level Programmatic & Ad Operations leader specializing in enterprise performance marketing

Los Angeles, CA11y exp
The Trade DeskCalifornia State University, Fullerton

“Programmatic media specialist who owned a $50K+/month Trade Desk DSP account for Disney movie/TV launches, leveraging PMPs and rigorous testing across audiences, deals, and creative formats. Drove 5–10% week-over-week gains in video completion rate while maintaining strict brand-safety standards, and has experience leading a team of traders and translating complex performance tradeoffs into client-ready action plans.”

Campaign ManagementA/B TestingForecastingTeam ManagementTrainingPerformance Management+56
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VM

Vasavi Mittapalli

Screened

Senior Data Scientist specializing in GenAI, LLMs and RAG

Dallas, TX5y exp
Texas InstrumentsTrine University

“Built and deployed a production LLM-powered RAG assistant for semiconductor manufacturing failure analysis, reducing engineer triage effort by grounding outputs in retrieved evidence and gating responses with SPC + ML signals (LSTM anomaly scores, XGBoost probabilities). Experienced with LangChain/LangGraph to ship reliable, observable multi-step agents with branching/fallback logic, and evaluates impact using both technical metrics and business KPIs like mean time to triage and downtime reduction.”

A/B TestingAgileAmazon DynamoDBAmazon EC2Amazon EMRAmazon Kinesis+195
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AN

Armand Nasseri

Screened

Mid-level Software Engineer specializing in cloud data ingestion and enterprise analytics

6y exp
OracleUC Davis

“Customer-facing technical professional experienced in productionizing complex systems (including LLM/agentic workflows) and high-volume cloud data pipelines. Built and hardened a near-real-time data extraction/caching solution that significantly reduced latency and became a reusable pattern for other enterprise use cases; also runs developer demos/workshops with hands-on test environments and has driven 30–50% latency improvements.”

AlertingAnalyticsCachingCI/CDC++Data Ingestion+87
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NA

Nishantkumar Asodariya

Screened

Mid-level Supply Chain Analyst specializing in global logistics automation and forecasting

USA4y exp
HoneywellIndiana Wesleyan University

“Built and shipped a production LLM-powered recruiting workflow that ranks resumes against job descriptions, generates evidence-based justifications, and finds "hidden fit" candidates using embeddings + RAG. Demonstrates strong production engineering around hallucination control, latency, and predictable LLM cost management (budget checks, top-K pruning, tenant caps), plus orchestration experience with Airflow/Prefect/Kubernetes and a structured evaluation/monitoring methodology for AI agents.”

AutomationCommunicationContract NegotiationCross-Functional CollaborationData AnalysisForecasting+101
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MS

Mayda Saldana

Screened

Executive Chief of Staff and Business Operations leader in high-growth global SaaS

New York City, NY14y exp
MA-AT ConsultingSmith College

“Chief of Staff at DataDome and Onna (founding-team experience) who built executive operating cadences, planning processes, and finance-backed dashboards to drive alignment across fast-scaling orgs (200+ global). Led major transformations including a single-product to multi-product platform shift (improving retention and enabling new market entry) and a sales-led to product-led (PLG) transition, and managed fundraising from Seed through Series B with outside counsel.”

Strategic PlanningOperating SystemsBudgetingForecastingProject ManagementGo-to-Market Strategy+87
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BJ

Bryan Jewell

Screened

Executive Finance & Operations Leader specializing in consumer subscription growth

Dallas, TX22y exp
FreelanceUniversity of Texas at Austin

“Operations/finance-focused advisor with experience helping early-stage companies build lightweight but effective operating systems—monthly financial reporting, KPI frameworks tied to revenue levers, and forecasting cadences using tools like QuickBooks and Metabase. Has also implemented scalable request-prioritization (Jira) and guided founder/executive org design changes, including transitioning a founder to president while elevating an internal leader to CEO.”

Strategic planningOperations managementBudgetingForecastingBusiness intelligenceA/B testing+58
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BM

Bhargava Mantena

Screened

Mid-level Ad Operations & Programmatic Manager specializing in omnichannel activation

Winston-Salem, NC6y exp
InmarUniversity of Wales, Lampeter

“Performance marketer with hands-on ownership of high-spend CPG accounts ($70K–$98K/month) across programmatic channels (display, video, CTV, DOOH) and full-funnel planning across Meta/Google/YouTube/TikTok. Known for structured testing roadmaps and pragmatic budget shifts (PMP vs open exchange) that delivered measurable lifts in CPA, CTR, and conversion rate, including turning around a stalled account within weeks. Open to either full-time or contract work, with a preference for contract roles.”

Meta AdsGoogle AdsJavaScriptSQLMySQLAmazon S3+119
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SM

Subhasmita Maharana

Screened

Mid-level Data Scientist specializing in NLP/LLMs, time series forecasting, and MLOps

New York, NY6y exp
CitigroupKent State University

“Data/ML practitioner with hands-on experience building NLP systems from prototype to production: delivered a Twitter sentiment classifier with robust preprocessing, SVM modeling, and Power BI reporting, and built entity-resolution pipelines for messy multi-source customer data (reporting ~95% improvement in unique entity identification). Also implemented semantic linking/search using SBERT embeddings with FAISS vector retrieval and domain fine-tuning (reported ~15% precision lift), and applies production workflow best practices (Airflow/Prefect, Docker, Azure ML/Databricks, Great Expectations).”

A/B TestingApache AirflowAzure Machine LearningBERTCI/CDClustering+170
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JC

Jeff Cushler

Screened

Executive Technology & Product Leader specializing in Healthcare IT, SaaS, and Cloud Transformation

Austin, TX30y exp
AvicenaThe College of Wooster

“Startup product/enterprise-stack builder who helped take Ventric Health from R&D to a market-launched healthcare product in 2024, operating in a $34M-raised, revenue-generating model leveraging Medicare C reimbursement through providers. Previously drove adoption of an integrated K-12 digital learning platform distributed to 100+ institutions over two years, with reported improvements in test scores.”

AgileAlgorithmsAWSBudgetingChange ManagementCI/CD+92
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HS

Harmeet Singh

Screened

Senior Game Economy & LiveOps Manager specializing in monetization and progression systems

Remote, Canada9y exp
2KUniversity of Delhi

“Game economy/progression designer for PGA titles who owned equipment and attribute progression plus virtual currency sources/sinks end-to-end. Uses quantitative modeling and telemetry (wallet balances, spending ratios) to tune supply/pricing and hit segment-specific business targets (e.g., conversion and completion-rate goals), and aligns stakeholders via KPI-lift projections and tradeoff-driven presentations.”

A/B testingForecastingData analysisPredictive modelingPythonSQL+54
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VS

Vaibhav Sharma

Screened

Mid-level Software Engineer specializing in AI/ML and data platforms

Remote, USA5y exp
GoogleIndiana University Bloomington

“AI/ML engineer who built a production agentic system to automate computational research experiments (simulation execution, parameter exploration, and numerical analysis) and mitigated context-window failures using constrained tool-calling/prompt-chaining patterns in LangChain with OpenAI tool-enabled models. Also has adtech/big-data pipeline experience at InMobi, orchestrating Spark jobs in Airflow to filter bot-like user IDs and publish clean IDs to an online NoSQL store for live serving, plus Apache open-source collaboration experience.”

A/B TestingApache AirflowApache HadoopApache HiveApache KafkaApache Spark+100
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JH

Junhui Huang

Screened

Intern Machine Learning Engineer specializing in LLMs, MLOps, and NLP

Providence, RI1y exp
Harvard UniversityBrown University

“Built and deployed a production LLM-driven Dungeons & Dragons game where the model acts as a dungeon master, adding a structured combat system and a macro-state tree to ensure campaigns converge to a clear ending. Fine-tuned Gemini 2.5 Flash on Vertex AI and deployed on GCP with Kubernetes, using RAG over DnD rules/spells plus multi-agent orchestration (intent-based routing between narrative and combat agents) to reduce hallucinations and improve reliability.”

A/B TestingAgileAnalyticsAPI DevelopmentCI/CDChromaDB+109
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KS

Karen Scrivano

Screened

Senior Brand Strategy & Marketing Leader specializing in digital, AI prompting, and customer success

Los Angeles, CA17y exp
Calahan KoomeraNYU

“Marketing/CRM-focused campaign lead with enterprise financial-services rebrand experience, spanning new website and copy creation through national social/digital promotion. Uses Google Analytics and ongoing reporting/QBRs to optimize to KPIs, drive ROI, and successfully retain and upsell clients while expanding reach into new demographics.”

Prompt EngineeringSEOSaaSGoogle AnalyticsSalesforceMicrosoft Excel+84
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LH

Lauren Henry

Screened

Senior GTM Enablement & Revenue Leader specializing in sales coaching and scalable onboarding

New York, NY12y exp
Heidrick & StrugglesUniversity of Massachusetts Amherst

“Senior Membership Manager at Chief who operated in a player/coach leadership role across US/UK teams. Partnered with CRO and RevOps to shift the business from a city-by-city model to a national GTM, scaling membership from 3,400 to 20,000+ and lifting conversion 10% through revamped workflows, enablement, and data-driven KPI dashboards.”

Business DevelopmentAccount ManagementCross-Functional CollaborationStakeholder ManagementRecruitingOnboarding+87
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PK

pavan kalyan padala

Screened

Mid-level Data Scientist specializing in predictive and generative AI

Daytona Beach, Florida4y exp
2725 Hospitality LLCYeshiva University

“AI/ML engineer with production LLM experience in regulated financial services (J.P. Morgan Chase), building a customer response engine to automate first-contact resolution while addressing privacy, bias, compliance, and scale. Strong MLOps/orchestration background (Airflow, Docker/Kubernetes, AWS Step Functions, Azure ML/SageMaker) plus proven ability to integrate with legacy systems and drive stakeholder adoption through dashboards, auditability, and training.”

PythonPandasNumPyScikit-learnTensorFlowPyTorch+98
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JH

Joseph Herbst

Screened

Executive Technology Leader specializing in IoT, PoE building automation, and semiconductors

Portland, OR35y exp
PoE TexasSanta Clara University

“Engineering/exec leader (CEO experience) who built a lighting controls and building automation platform from scratch, choosing an Ethernet/PoE and Node.js web-centric architecture that anticipated market shifts and later became an industry pattern. Known for rigorous vendor QA (test-to-failure) and for delivering high-profile deployments (e.g., Black Desert Resort, Resorts World Villa 66) while leading globally distributed engineering teams.”

AWSBitbucketBusiness DevelopmentC++E-commerceForecasting+141
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NA

Nicolas Arieu

Screened

Director-level Operations & Business Leader specializing in logistics, analytics, and scaling

Miami, FL29y exp
TATCO IndustriesUniversidad de Belgrano

“Operations and general management leader with experience spanning Citibank (Regional VP), a startup COO/GM role, and industrial operations at Tatco. Has delivered high-impact operational and technology changes including a Paychex payroll migration for 150+ employees and an ERP/subscriber migration of 200,000+ records that improved marketing execution and sales enablement, while also managing executive alignment and sensitive workforce matters.”

Operations managementData analyticsMicrosoft ExcelSQLReportingProcess improvement+58
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DR

Daniel Riskey

Screened

Director-level Talent Acquisition leader specializing in pathway programs and high-volume hiring

20y exp
Child Development SchoolsTexas Tech University

“Talent Acquisition/Recruiting Operations leader with experience across aviation, technology, corporate/finance, and education. Led a 12-person TA org and drove major operational transformations, including a Southwest Airlines pilot pipeline program cutting time-to-cockpit from ~10 years to ~4 and forecasting 400–600 pilots annually at peak. Recently served as primary TA stakeholder for an iCIMS-to-ADP RM ATS migration, simplifying workflows and reducing recruiter administrative work by ~70%.”

OnboardingWorkforce planningStakeholder managementCross-functional collaborationProgram managementBudget management+68
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KP

Kurt Pickle

Screened

Executive Operations Leader specializing in manufacturing, biotech, and commercial growth

Irvine, CA21y exp
Planet InnovationCalifornia State University, Long Beach

“Operations and manufacturing leader with experience acting as an internal CEO to build a new business inside IDEX Corp from a $15M budget, owning P&L and a 3-year plan through product launch. At Planet Innovation, used Lean/DMAIC-style value stream mapping to 4x production throughput (400 to ~1600 units/month), exceeding a customer’s 1200/month scaling target. Strong in building teams and operational systems (product development, quality, supply chain) and coaching non-ops founders using structured frameworks.”

Risk ManagementBusiness DevelopmentCross-functional LeadershipProduct ManagementMentoringGo-to-Market Strategy+83
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LO

Laura OBrien

Screened

Executive Finance Transformation & M&A Leader in Global Enterprises

Fairfax, VA19y exp
EricssonCedar Crest College

“Senior cross-functional leader with deep experience in high-stakes compliance and executive operations, including executing a DOJ monitorship rollout (52 ethics/compliance processes in 3–4 months) and driving executive alignment through training and dashboards. Also led M&A at AT&T across strategy, diligence, and integration, and delivered measurable operational improvements like automating the financial close down to 1 day.”

Strategic PlanningForecastingCost OptimizationComplianceProject ManagementProgram Management+80
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MM

Mike Martin

Screened

Executive Services & Operations Leader specializing in managed services, M&A integration, and growth

28y exp
IT SolutionsUniversity of Wisconsin–La Crosse

“COO/operator who helped scale a PE-backed Managed Services Provider from ~$20M to ~$120M in 30 months while acquiring 3–4 MSPs per year. Drove post-merger integration and standardized service delivery using ITIL, unified systems onto NetSuite and a unified delivery platform, and built a data warehouse to rapidly integrate legacy data for operational insights (including early ML/AI use).”

Account ManagementLeadershipCoachingOperations ManagementForecastingBudgeting+72
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AC

Anthony Cerino

Screened

Executive Revenue Leader specializing in FinTech and enterprise GTM scale

New York, NY27y exp
Kafene

“Revenue/GTM leader with ~10 years of experience scaling companies from early stage through IPO, with unusually deep cross-functional exposure across risk, finance, product/tech, and DevOps. At Catapult, helped drive a pivot from brick-and-mortar to e-commerce and landed major enterprise customers (Lenovo and Wayfair) by navigating complex system integrations and enterprise delivery expectations. Previously ran a family business (2004–2008) and is committed to founding a company.”

Business DevelopmentAccount ManagementForecastingBudget ManagementLead GenerationSalesforce+56
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