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Vetted Forecasting Professionals

Pre-screened and vetted.

ForecastingSQLPythonTableauAWSPower BI
AM

ALFRED MIRANDA

Executive Technology Leader (CTO/CPO) specializing in digital transformation, ERP, AI/ML, and M&A

Brea, CA19y exp
Allure Bridals
Machine learningPredictive analyticsData analyticsPredictive modelingCloud computingAWS+98
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KH

Ken Hutchins

Screened

Executive FinTech & Energy Leader specializing in lending, portfolio ops, and EV/solar finance

Kyle, TX8y exp
XChargeDominican University of California

“Entrepreneur in debt settlement and consumer lending who expects future funding needs and is oriented toward PE/VC rather than debt until revenues stabilize. Previously left Mosaic to found and scale a process improvement/performance management/tech stack consulting business, using conference speaking and relationship-based selling to win clients and then hiring staff/contractors to expand delivery.”

Strategic planningGo-to-market strategyRisk managementBusiness developmentForecastingProcess improvement+98
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MH

Michael Hoard

Screened

Executive GTM & Revenue Operations Leader specializing in predictable growth and retention

Remote18y exp
FreelanceRhode Island School of Design

“Revenue growth and RevOps veteran (25+ years) relaunching Impactus Growth Advisors, a services firm for early-to-growth-stage startups focused on execution-heavy revenue ops. Has validated tiered service packages through years of fractional consulting and is planning an AI-based Q&A app as an entry point to scale GTM and service delivery, with intent to bootstrap or potentially raise via angels.”

ForecastingCross-functional LeadershipSaaSAutomationGo-to-Market (GTM) StrategyGTM Operating System Design+63
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PG

Paul Gerardi

Screened

Director-level Marketing Leader specializing in full-funnel performance marketing and analytics

Stamford, CT27y exp
Media Now InteractiveCollege of the Holy Cross

“Senior Account Manager with hands-on ownership of a $50K/month CPG paid media program spanning OTT/CTV, programmatic display, SEM, Meta (and TikTok), combining rigorous test design with cross-functional execution (media planning + ad ops + channel teams). Delivered concrete gains including 25–30% lift in FTA and a 15% reduction in CTV CPM, leading to increased client budgets and an upsell into audio.”

Lead GenerationSEOA/B TestingReportingBudget ManagementCross-Functional Collaboration+101
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JW

Joon Won

Screened

Executive Global Sourcing & Procurement Leader specializing in retail non-food categories

Brea, CA19y exp
Emart America, Inc.Academy of Art University

“Retail sourcing leader (currently a General Manager) with 11 years at a South Korea-based retailer and 20+ years in non-food product sourcing. Experienced owning end-to-end sourcing from supplier discovery and commercial negotiation through mass production, audits (BV/UL), and on-time delivery to distribution centers, with strong trade compliance/landed-cost focus (HTS, COO, FTA, tariffs/duties).”

Contract NegotiationCost OptimizationForecastingQuality AssuranceComplianceBusiness Development+57
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SP

sai Pavan

Screened

Mid-level AI/ML Engineer specializing in MLOps, NLP, and real-time ML pipelines

5y exp
American Family InsuranceGeorge Mason University

“Built a production, real-time insurance claims document-understanding and fraud-detection pipeline using TensorFlow + fine-tuned BERT, deployed on AWS (SageMaker/Lambda/API Gateway) with automated retraining via MLflow and Jenkins. Addressed noisy documents and latency using augmentation and model distillation (3x faster), cutting claims ops manual review by ~50% and reducing fraudulent payouts.”

A/B TestingAmazon API GatewayAmazon EC2Amazon KinesisAmazon RedshiftAmazon S3+157
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NB

nathaniel briggs

Screened

Executive CTO / Software Architect specializing in GenAI, FinTech, and PropTech

Los Angeles, California17y exp
American ExpressUniversity of Advancing Technology

“Entrepreneur/fintech product builder who raised a $100K pre-seed from ex-Google/Microsoft execs and built a real-time, direct-to-vendor bill pay micropayments platform. Previously helped scale Norton LifeLock to 1M users (2003) and also created Karma LA, a fraud-resistant, verified donation system (including VA veteran verification) aimed at improving trust and conversion in giving.”

API IntegrationAWSAWS CloudFormationAWS LambdaBlenderCI/CD+136
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MD

Meet Doshi

Screened

Mid-level Data Engineer specializing in cloud data platforms and AI/ML analytics

Chicago, IL4y exp
EDNANortheastern University

“Backend/data engineer in healthcare who built an AWS-based clinical analytics platform from scratch (DynamoDB/S3/Airflow/dbt) with sub-second clinician query goals, 99.9% uptime, and HIPAA-grade controls (KMS encryption, IAM RBAC, audit trails). Also modernized ML delivery by replacing a manual 4-hour deployment with a 30-minute Docker/GitHub Actions CI/CD pipeline using parallel runs, parity testing, and rollback, and caught critical EHR data edge cases (date formats/timezones) that could have impacted patient care.”

PythonPySparkSQLRJavaScala+120
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JK

Jane Kingston

Screened

Senior Business Operations & Supply Chain Manager specializing in IoT SaaS and hardware GTM

New York, NY5y exp
Andium Inc.Cal Poly San Luis Obispo

“Cross-functional operator at Andium who led founder-level initiatives spanning next-gen product launch + legacy sunset, built decision-driven operating cadences (dashboards, memos, blocker tracking), and drove international expansion after a Series B led by Saudi Aramco. Also supported a $6M strategic opportunity in Australia by coordinating pricing, product feedback loops, and internal alignment across an AI-enabled SaaS + hardware business.”

Go-to-Market StrategyStrategic PlanningMarket ResearchRegulatory ComplianceForecastingCross-functional Collaboration+104
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HK

Haritha Kuraparthi

Screened

Mid-level Full-Stack Developer specializing in cloud data engineering and analytics

West Haven, CT4y exp
BlackbaudUniversity of Bridgeport

“Software developer with hands-on experience owning customer-facing work end-to-end (requirements, implementation, testing, and feedback-driven iteration) using Python and React.js. Also described remodeling an internal legacy page/tool to improve performance and accuracy, and has exposure to microservices and RabbitMQ plus ETL-based system work.”

PythonNumPyPandasJavaScriptNode.jsJava+81
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JG

Julie Goldstein

Screened

Senior People Operations & HR Leader specializing in employee experience, HRIS/ATS, and M&A

New York, NY14y exp
InpixonCulinary Institute of America

“HR leader/HRBP with global team management experience who has driven high-impact people operations initiatives across many functions (Sales through Engineering and Legal). Implemented a company’s first HRIS and ATS integration while scaling hiring (52 FTEs in <10 months), cutting operating costs 35% and improving retention. Also led year-long post-merger integration of culture and core people programs and managed multiple layoffs with strong compliance and zero legal claims.”

BudgetingChange managementCross-functional collaborationForecastingPerformance managementWorkforce planning+95
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VS

Venkatarama Sai Teja Dasarathi

Screened

Mid-level Machine Learning Engineer specializing in deep learning and generative AI

San Jose, CA5y exp
MetLifeUniversity of Alabama at Birmingham

“ML/NLP engineer with hands-on experience building production systems for unstructured insurance claims and customer data linking. Delivered measurable impact at scale (millions of documents), combining transformer-based NLP, vector search (FAISS/Pinecone), and human-in-the-loop validation, and has strong production workflow/observability practices (Airflow, AWS Batch, Grafana/Prometheus).”

PythonRSQLMATLABTensorFlowKeras+126
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LF

Layne Fontes

Screened

Executive Operations & Customer Experience Leader specializing in Payments and Client Success

Atlanta, GA28y exp
Six Degrees CreativeQueensborough Community College (CUNY)

“Founder who built and operated a marketing agency (Six Degrees) end-to-end, setting up legal/infrastructure foundations and implementing SOPs, KPIs, and repeatable operating rhythms. Emphasizes operational excellence, predictable delivery, and prioritization based on customer impact, revenue risk, and compliance/safety.”

Strategic planningPerformance managementCross-functional leadershipTeam leadershipBusiness developmentContract negotiation+80
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SC

Sudeepti Chalamalasetti

Screened

Mid-level AI/ML Engineer specializing in LLMs, RAG, and MLOps

Atlanta, GA4y exp
Universal Health ServicesUniversity of New Haven

“Built a production RAG-based healthcare chatbot to retrieve patient medical documents spread across multiple platforms, reducing manual and error-prone searching. Implemented semantic search with custom embeddings (Hugging Face) and Pinecone, deployed via FastAPI/Docker on AWS SageMaker with MLflow tracking, and optimized fine-tuning cost using LoRA while orchestrating retraining pipelines in Airflow.”

A/B TestingAnomaly DetectionAudit LoggingAWSAWS GlueAWS Lambda+123
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LA

Leo Almada

Screened

Director-level Finance & HR Operations leader specializing in governance, HRIS, and e-commerce finance

New York, NY11y exp
Magnum PhotosBaruch College

“Currently at Magnum managing a small global team (NY/London/Paris) and leading analytics operations, including financial reporting for a Shopify-based ecommerce platform. Partnered directly with a newly appointed CFO and COO during a significant org change involving elimination of three global director roles, coached the COO through difficult conversations, and supported a senior promotion that included navigating an H-1B visa process.”

BudgetingForecastingWorkforce PlanningOnboardingVendor ManagementCompliance+102
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KG

Karthik Gantasala

Screened

Mid-level Generative AI Engineer specializing in LLM agents and RAG

Chesterfield, MO4y exp
Reinsurance Group of AmericaUniversity of Central Missouri

“GenAI/LLM engineer who built and deployed a production RAG system for enterprise document search and decision support, cutting manual lookup time by 40%+. Experienced with LangChain/LangGraph agent orchestration plus Airflow/Prefect for ingestion and incremental reindexing, with a strong focus on reliability (testing, observability) and stakeholder-driven metrics.”

A/B TestingAgileAmazon BedrockAnsibleApache AirflowAWS+168
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AC

Ann Chua

Screened

Director-level Casino Marketing & Loyalty Program Leader

Van Nuys, California16y exp
Commerce CasinoDe La Salle University

“CRM/lifecycle marketer with experience reactivating inactive members in a gaming/loyalty context, using RFM-style segmentation and multi-channel journeys (email plus host phone outreach). Demonstrated measurable lift (20% reactivation/engagement) and optimization through A/B testing of incentive strategy, while coordinating closely with Creative, Operations, and Compliance during major campaigns.”

Project ManagementCampaign ManagementData AnalysisBudget ManagementForecastingRegulatory Compliance+60
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KR

Krishna Rajput

Screened

Mid-level AI Engineer & Data Scientist specializing in LLMs, RAG, and multimodal systems

Tempe, AZ5y exp
HCLTechArizona State University

“LLM/GenAI engineer who built a production AI-powered credit risk policy summarization and compliance alerting platform at HCL Tech, focused on factual accuracy and auditability for a financial client. Implemented a multi-retriever LangChain RAG architecture with citations-only prompting, fallback agents, and human-in-the-loop legal review—cutting manual review time by 35% and scaling to 12 teams.”

A/B TestingAnomaly DetectionAWS GlueAWS LambdaAzure Machine LearningCI/CD+126
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MA

Mo Arab

Screened

Executive Technology Leader specializing in Cloud, Managed Services & AI/LLM integration

Los Angeles, CA25y exp
FreelanceCal State Northridge

“Engineering/technology leader with experience at Evocative and through a merger with Hivelocity, aligning tech roadmaps to managed services growth. Led multi-region self-hosted cloud and automation initiatives that cut delivery time from days to hours/minutes and informed cost-saving infrastructure decisions (reported $500K OPEX savings). Known for scaling teams with pod ownership, agile/intake governance, and disciplined rollout practices that protect uptime and security.”

Large Language Models (LLMs)AgileRisk ManagementComplianceHIPAASplunk+150
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GG

Gabriele Gobbi

Screened

Mid-level Data Scientist specializing in GenAI, LLM-to-SQL, and analytics platforms

Turin, Italy3y exp
Engineering Ingegneria InformaticaUniversity of Ferrara

“LLM/agentic AI builder who led end-to-end integration of an LLM system into a business intelligence product, creating a scalable, metadata-driven RAG/agent pipeline with an orchestrator that routes queries to specialized agents (including DB-backed quantitative querying). Also built an LLM-to-SQL chatbot and partnered with non-technical stakeholders to capture domain context and improve SQL generation, using automated LLM-based testing to evaluate reliability.”

PythonMachine LearningScikit-LearnTensorFlowPyTorchLarge Language Models (LLMs)+51
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AR

Aditya Rajendra

Screened

Mid-level Product & Program Associate specializing in sourcing, pricing, and analytics

Orange, CA3y exp
MS InternationalWashington University in St. Louis

“Sourcing professional who led Home Depot WPC flooring launches and custom direct-ship container projects, combining landed-cost/tariff modeling with hands-on supplier onboarding and third-party testing coordination. Known for data-driven negotiations (e.g., securing a 30-point margin and winning price concessions that drove repeat 20-container orders) and for streamlining cross-functional onboarding via Jira to cut cycle time by 25%.”

AgileConfluenceContract NegotiationData AnalysisDevOpsForecasting+88
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BC

Barry Cregan

Screened

Senior Business Strategist specializing in consulting, GTM, and financial analysis

New York, NY9y exp
RobotproofUniversity of Notre Dame

“Senior Business Strategist (Robotproof) who effectively operated in a Chief-of-Staff-like capacity for both internal executives and Samsung’s President/CMO/Head of Strategy, running multi-workstream initiatives across strategy, marketing, and VR product/engineering. Built KPI/OKR dashboards and executive briefing rhythms to accelerate decisions and delivered an 8% sales lift via a targeted regional strategy pilot that included localized assets, an incentivized sales program, and a bespoke VR training tool.”

TableauRStrategic PlanningBudgetingForecastingSEO+53
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LP

Leonard Payne

Screened

Senior Performance Marketing Leader specializing in paid media, lifecycle/CRM, and analytics

Detroit, MI23y exp
OneMagnifyWayne State University

“Performance marketer managing high-spend, multi-platform paid media for major brands (e.g., Navistar, Buick), with end-to-end ownership from strategy to reporting. Uses multivariate testing and trend-based budget reallocations to drive measurable lifts (27–60% KPI improvements) and significant outperformance (2.8x vs forecast), and has experience removing conversion friction by replacing lead forms with landing page + chat-based flows.”

CRMGoogle AdsGoogle AnalyticsMeta AdsAdobe Creative SuiteA/B testing+97
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AM

Abraham McWilliams

Screened

Entry-Level Client Service Associate specializing in expert networking and financial services clients

New York, NY1y exp
GuidepointMuhlenberg College

“Client Service Associate at GuidePoint (expert network) supporting hedge fund/client research by sourcing and vetting industry experts via warm calls and multi-channel outreach (LinkedIn, email, phone, text), then scheduling and connecting experts to clients. Previously interned at Aramark where he improved cross-team coordination by introducing structured communication (e.g., morning meetings) and uses AI/automation to speed up day-to-day workflow.”

BudgetingForecastingMicrosoft ExcelMicrosoft OfficeMicrosoft PowerPointMicrosoft Word+43
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