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Vetted Forecasting Professionals

Pre-screened and vetted.

ForecastingSQLPythonTableauAWSPower BI
LN

Lamphung Ngo-Burns

Screened ReferencesStrong rec.

Executive Finance Leader (CFO/CAO/Treasurer) specializing in capital markets and public company reporting

Houston, Texas39y exp
Catalyze Parentco LLCUniversity of Houston

“CFO for PE-owned Catalyze Holdings (distributed generation solar + battery storage for C&I) brought in to professionalize a founder-led startup into an IPO-ready organization. Implemented IPO-readiness governance plus Procore and NetSuite (on time/on budget), established KPI and stage-gate operating rhythms, and drove change management that improved process clarity and reduced G&A spend.”

Strategic planningRegulatory complianceRisk managementForecastingPerformance managementChange management+99
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JB

John Barker

Screened ReferencesStrong rec.

Executive Operations & Service Delivery Leader specializing in BPO, HRO, Payroll, and Finance services

Fort Lauderdale, Florida29y exp
FMS SolutionsLoyola University Chicago

“Operations leader with experience standing up and scaling a bespoke, high-growth services operating model at ADP (Comprehensive Services), including SOP standardization, BPM/workflow deployment, and analytics/automation enablement. Reports major outcomes including 99.5%+ accuracy, NPS 71, and a turnaround from losses to significant profitability growth, with a metrics- and governance-driven approach to change management and executive advising.”

Go-to-Market StrategyAccount ManagementForecastingOCRServiceNowSalesforce+118
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SB

Stephen Boney

Screened ReferencesStrong rec.

Executive operating partner and global manufacturing leader in metals and packaging

Nashville, TN41y exp
FreelancePenn State University

“Operations and quality leader who co-founded and scaled a patented-product business in the retail paint industry to $400k+ revenue with ~50% gross margin, while maintaining perfect delivery and quality-return records through a disciplined supplier audit system. Former global quality leader at Novelis who used collaborative self-assessment frameworks to drive ~65% reduction in customer claims and mentor non-operations teams (including sales) in practical quality tools and loss reduction.”

Strategic PlanningMentoringContract NegotiationOperations ManagementInventory Managementstakeholder management+124
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LH

Lawrence Haley

Screened ReferencesStrong rec.

Director-level Talent Acquisition & Recruiting Operations leader

New York, NY22y exp
EnTech Engineering, PCFashion Institute of Technology

“Recruiting leader with experience managing a small team (3 direct reports) and partnering closely with HRBPs and senior leadership to align hiring with team dynamics and culture. Has driven recruiting process improvements focused on streamlining the lifecycle and reducing time-to-fill, and helped implement a junior executive fast-track program sponsored by the company president.”

Workforce PlanningReportingDashboard DevelopmentForecastingOnboardingMicrosoft Office+97
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GG

Gregg Glaser

Screened ReferencesStrong rec.

Executive CFO with deep expertise in securities brokerage and professional services

San Diego, CA44y exp
Executive Consulting Group, LLCUniversity of Florida

“Operations/finance leader with experience building the operational backbone for fast-growing firms, including setting up recordkeeping, internal controls, and brokerage-specific clearing firm decisions. Helped scale an entity from ~$30M to nearly ~$300M and later modernized consulting-firm expense operations by implementing Concur integrated with ERP, with a hands-on approach to systems selection and change management.”

BudgetingForecastingOperations managementRisk managementStrategic planningAccounting+95
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VB

Varaprasad Bathula

Screened

Intern AI/ML Engineer specializing in LLM applications and data infrastructure

Redmond, Washington, USA3y exp
UberUniversity of Memphis

“Hands-on LLM practitioner who built a production document-processing pipeline in Python, tackling long-document handling and latency with chunking/batching and a user-driven correction feedback loop. Experienced operationalizing AI workflows with Kubernetes (CronJobs, autoscaling, scheduled data cleaning and weekly retraining) and applying structured testing/evaluation (E2E, LLM-as-judge, HITL) while communicating solutions clearly to non-technical clients using visual diagrams.”

PythonCC++C#JavaSQL+110
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KM

Katie Mulryan

Screened

Senior Workforce Analytics Manager specializing in Talent Acquisition and recruiting insights

Plano, TX9y exp
JPMorgan ChaseUniversity of Texas at Dallas

“Talent/Recruiting Operations analytics leader who has owned TA data/analytics, HR tech, onboarding, and HR product teams, managing globally distributed teams up to 13. Notably standardized hiring target-setting across 800+ recruiters using data-driven mathematical models, improving fairness and delivering a 20% headcount save. Experienced in major TA tech transitions (Avature to PhenomPeople) with ownership of data quality, reporting, KPI measurement, and workflow design.”

Data AnalyticsDashboardingData VisualizationForecastingAutomationStakeholder Management+69
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JM

Joy Munoz

Screened

Director-level HR leader specializing in culture transformation, org design, and executive partnerships

Remote, USA16y exp
GuildPurdue University Global

“People Business Partner Principal/Director at Guild focused on scaling HR infrastructure and organizational excellence. Led a major redesign of a 300-person team, improving efficiency and culture, and implemented Workday and Quinto to enable a new performance review cycle and pay-for-performance bonus plan while advising C-suite leaders on talent strategy and org design.”

Performance ManagementChange ManagementWorkforce PlanningOnboardingMentoringBudgeting+66
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SK

Surya Kumaraguru

Screened

Mid-level Product Lead and Customer Success Manager specializing in SaaS analytics and GTM

Mountain View, CA2y exp
StealthSanta Clara University

“Enterprise CSM with experience at IBM and Cloudera, focused on AI and cloud modernization engagements. Drives adoption, renewals, and expansion by building success plans with measurable ROI/usage outcomes, mediating complex stakeholder priorities, and unblocking deployments through tight Product/Engineering/Sales coordination. Also brings strong GTM analytics capability (Salesforce/HubSpot/GA/Tableau/SQL) to improve funnel performance and pipeline conversion.”

PythonSQLTableauMicrosoft ExcelFigmaHubSpot+82
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VV

vishal varma

Screened

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

6y exp
CVS HealthUniversity of Bridgeport

“Built and deployed a production RAG-based LLM Q&A and summarization platform for internal documents, emphasizing grounded answers with structured prompting and citations to reduce hallucinations. Experienced orchestrating end-to-end LLM workflows with LangChain plus cloud pipelines (Azure ML Pipelines, AWS), and runs iterative evaluation using both metrics (accuracy/hallucination/latency/cost) and real user feedback to drive reliability.”

Anomaly detectionAWSAWS GlueAWS LambdaAzure Blob StorageAzure DevOps+147
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VN

Vignesh Nataraj Harish

Screened

Mid-level Strategy & Operations professional specializing in Enterprise SaaS and FinTech

Columbus, OH4y exp
VertivDuke University

“Chief of Staff / cross-functional operator with experience at HighRadius and Darwinbox, building executive operating rhythms (KPI dashboards, pipeline reviews, decision logs, intake/triage) and driving multi-country SE Asia expansion. Uses data-driven prioritization and unit economics (CAC, sales velocity) to align founders/CxOs on tough trade-offs, and has supported a GenAI product launch while managing enterprise escalations without derailing strategic timelines.”

A/B TestingBudgetingDashboardingForecastingGo-to-Market StrategyMarket Research+58
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PM

Priyanshu Maurya

Screened

Mid-level Data Scientist specializing in insurance, finance, and healthcare analytics

New York, NY3y exp
MetLifeRowan University

“Built and productionized LLM-driven sentiment scoring for earnings call transcripts at Goldman Sachs, replacing legacy NLP to deliver a cleaner trading signal while managing latency/cost via batching, caching, and distilled models. Also implemented an Airflow-orchestrated fraud modeling pipeline at MetLife with drift-based retraining and SageMaker deployment, and has a disciplined evaluation/rollout framework for reliable AI workflows.”

Anomaly DetectionAWSAWS GlueBigQueryBlue/Green DeploymentCI/CD+105
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BG

Benjamin Glassner

Screened

Mid-level Product Lead specializing in AI-enabled policy intelligence and apparel product development

Los Angeles, United States6y exp
CTRACK POLICYLondon Business School

“Apparel product developer/sourcing manager at Linkwear Limited who led high-risk, low-MOQ launches (down to 50 pcs/style) by reverse-engineering samples into tech packs, aggressively vetting/negotiating suppliers, and managing production through QC and shipping. Demonstrated trade-risk hedging (Section 301) via parallel sourcing and hands-on supplier recovery by traveling to Wuxi to resolve a mill bottleneck.”

BudgetingCost optimizationData analysisFigmaForecastingInventory management+62
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MS

Matt Salomon

Senior Data Scientist specializing in GenAI, LLM systems, and production ML

Los Angeles, CA17y exp
CignaMIT
A/B TestingAnomaly DetectionApache HiveAWSBERTBigQuery+133
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PK

Prashanth Konda

Staff Machine Learning Engineer specializing in LLM agents and ML systems

San Fransico, CA6y exp
InfosysGeorgia State University
Anomaly detectionApache KafkaApache SparkAWSCI/CDC+++69
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TM

Tejal Meda

Mid-level Backend/Platform Engineer specializing in distributed systems and data platforms

Bangalore, India3y exp
Schneider ElectricUniversity of Texas at Austin
PythonRC++SQLREST APIsDjango+74
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VG

Varshitha Gudibandi

Intern Product Engineer specializing in AI-native GTM and FinTech payments

New York, NY2y exp
Victory Strategy Management IncColumbia University
JavaPythonSQLTypeScriptReactNext.js+59
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TS

Tamanna Sharma

Mid-level GenAI & Analytics Engineer specializing in LLM and cloud cost/finance analytics

San Francisco, CA6y exp
Owens CorningUC Davis
Generative AIMachine LearningLarge Language Models (LLMs)Retrieval-Augmented Generation (RAG)LoRAForecasting+62
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SK

Sai Karan Reddy

Mid-level Data Scientist specializing in ML, MLOps, and forecasting for FinTech and AI hardware

Lake Forest, CA6y exp
AMDClark University
A/B TestingAnomaly DetectionApache AirflowAWSAWS LambdaBERT+79
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AS

Astha Soni

Intern AI/ML Engineer specializing in data science, NLP, and reinforcement learning

San Jose, CA1y exp
ZscalerStony Brook University
Amazon EC2Apache HadoopApache SparkAWSDatabricksData Analysis+93
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JN

Jessica Nasr

Senior Operational Marketing Product Manager specializing in Travel Retail EMEA (Luxury Beauty)

Maisons-Alfort, France5y exp
ShiseidoParis 1 Panthéon-Sorbonne University
Product ManagementProject ManagementGo-to-Market StrategyForecastingBudgetingStakeholder Management+58
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PC

Parth Chaudhary

Intern AI/Data Science Engineer specializing in LLM agents, data engineering, and predictive analytics

Overland Park, Kansas1y exp
Novel CapitalUSC
AlgorithmsAnalyticsAWSBusiness IntelligenceCI/CDClustering+90
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SJ

saniya jaswani

Senior Data Scientist specializing in Generative AI and NLP

9y exp
AcquiaIIT Jodhpur
A/B TestingAmazon CloudWatchAmazon EC2Amazon S3Amazon SageMakerAWS+71
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CD

Chelsea Dass

Senior Customer Success Manager specializing in Enterprise B2B SaaS and global renewals/expansion

San Francisco, CA8y exp
WeWorkUC Davis
TrainingForecastingProgram ManagementProject ManagementContract NegotiationCross-functional Collaboration+62
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