Vetted Stakeholder Management Professionals

Bhaskar Reddy

Screened

Junior Business & Data Analyst specializing in analytics and BI

Fairfield, CT2y exp

“Analytics-focused candidate with hands-on experience building SQL and Python workflows that turn messy multi-source data into reporting assets and dashboards. They show strong practical judgment around data quality, table grain, validation, and performance tuning, and they described an education-focused engagement project that reportedly improved course completion by 15% through targeted interventions and metric-driven stakeholder alignment.”

“Finance data and reporting professional with PwC experience who bridges accounting and technology, especially around GL-related reconciliations, reporting accuracy, and close support. While not a direct PeopleSoft GL owner, they bring strong SQL-driven troubleshooting, ETL/data mapping remediation, and process automation experience that helped shorten close cycles and improve audit readiness.”

Darshan Patel

Screened

Mid-level Data Engineer specializing in financial and trading data

Sydney, Australia4y exp

“Quant Data Engineer at ASX who is also building FinishKit, a full-stack SaaS that scans AI-generated codebases for bugs and production-readiness issues. Combines React/TypeScript, Supabase/serverless, Fly.io, and Postgres with strong product instincts, rapid iteration, and prior experience building secure multi-tenant data and dashboard systems across enterprise teams.”

“CRM/lifecycle marketer with hands-on ownership of high-volume, multi-channel programs across email, SMS, and push, including Braze journey design, QA, deployment, and post-campaign analysis. Stands out for combining strong campaign operations with incrementality measurement and experimentation, including a 20% conversion improvement from journey optimization and 12% incremental revenue lift identified through holdout-based analysis.”

“Seasoned entrepreneur with decades of cross-functional business experience who initially expected a CTO role at an existing company rather than a founder track. Brings a distinctive mix of technical scalability thinking, complex integration awareness, education/multimedia production capability, and formal credentials including a PhD, security clearances, and AI and leadership certifications.”

Daniel Colon

Screened

Senior SaaS sales professional specializing in enterprise and AI-powered outbound sales

New York, NY8y exp

“Enterprise SDR/BDR with experience at Lightricks, Wix, and Red Points, focused on high-quality outbound into mid-market and enterprise accounts. Stands out for building outbound process from scratch, booking 18-20 meetings per quarter with an 85% SQL conversion rate, and using highly personalized, evidence-based outreach to win skeptical stakeholders and revive stalled deals.”

“Compensation professional with hands-on experience supporting complex year-end salary, bonus, and equity payment processes from the comp side of payroll. Built an Excel-based modeling tool to implement a new target bonus structure for a Technology population, and shows strong strength in reconciling incentive budgets, handling late-cycle pay exceptions, and putting approval controls around high-risk compensation scenarios.”

“Candidate has hands-on experience delivering production data and AI systems, including an AWS-based real-time data platform for a financial client at Deloitte and a production RAG workflow that cut manual search time by 40%. They stand out for combining strong data engineering depth with practical LLM governance, incident debugging, and stakeholder management across business and risk/compliance teams.”

Aarushi Mahajan

Screened

Mid-level AI/ML Engineer specializing in NLP, Generative AI, and MLOps

New York, USA4y exp

“Internship experience shipping production AI systems: built an end-to-end RAG platform (Python/FastAPI + LangChain/LangGraph + vector search) to answer support questions from unstructured internal docs, with a strong focus on hallucination prevention through confidence gating and rigorous offline/online evaluation. Also delivered an AI-driven personalization/analytics feature using an unsupervised clustering pipeline, iterating with PMs to align statistically strong clusters with actionable business segmentation.”

Shiven Arya

Screened

Junior data and product analyst specializing in machine learning and analytics

Ann Arbor, MI2y exp

“Senior at the University of Michigan who led most of the technical build for a real client-facing Medicare fraud detection system with explainable ML and an analyst-ready Streamlit dashboard. Also builds practical LLM tools independently, including a market sentiment pipeline over Reddit/news data and a resume parser/grader, showing strong product instinct alongside applied ML and data engineering depth.”

“Senior engineering leader with VP-level scope who combines hands-on technical depth with large-scale org leadership. He led modernization of a legacy automotive ERP platform and architected OEM integration systems, while also scaling teams aggressively and translating enterprise customer needs into practical product and engineering plans.”

“Seasoned ERP implementation leader with 14 full lifecycle deployments spanning Microsoft Dynamics, PeopleSoft, QAD, and SAP across 9 countries. Stands out for managing complex multinational rollouts, strong executive governance, and pragmatic decision-making—such as replacing a 600K EUR customization path with a lower-cost bolt-on that improved ROI across multiple South American deployments.”

“Product leader with experience at Catbird and Ipsy, especially strong in e-commerce, personalization, and operational AI. Stands out for combining direct customer immersion with rigorous scoping and stakeholder alignment—launching a new personalization experience in 10 weeks with 100% ROI in 4 weeks, and later driving AI automation that cut merchandising workload by 30%.”

“Seasoned enterprise program/project leader with 12+ years delivering complex technology initiatives in highly regulated federal, healthcare, and financial services environments. Stands out for managing portfolios of 6-7 concurrent modernization and operational transformation efforts, with strong governance, executive communication, and cross-functional coordination across engineering, security, and operations.”

“Deloitte technical implementation lead who functioned like a pre-sales/solutions engineer for ABBYY's intelligent document processing within the Argus GenAI platform. They supported enterprise-scale rollouts across 10+ countries, tailored deployments for local market needs, and combined integration, compliance, and Python automation work to deliver 95%+ extraction accuracy.”

Kerri Heinen

Screened

Principal Product Owner specializing in healthcare IT and med-tech

Mounds View, MN17y exp

“Product leader with experience modernizing legacy customer-facing platforms and delivering AI-enabled healthcare capabilities, including an algorithm to classify true cardiac arrhythmias for clinicians. Brings a structured, cross-functional approach to roadmap decisions, user engagement, and team development across engineering, UX, and Scrum teams.”

“Product and engineering leader with experience driving large-scale transformation in regulated and enterprise environments, including security modernization at LPL Financial and developer platform standardization at General Motors. He combines hands-on technical judgment, UX modernization, and people leadership, and also brings a former teacher’s perspective to human-centered AI in education.”

“Product leader with experience building a patented demand chain management application inspired by 7-Eleven Japan’s inventory practices and piloting it with strong results: lower inventory, fewer out-of-stocks and waste, and higher sales. Has also shipped early AI features in edtech, including student chat moderation, and brings a notably human-centered perspective on AI’s role alongside tutors rather than as a full replacement.”

“Product design leader who has operated as both design head and product owner across retail, supply chain, and global trade platforms. Notable for turning design research into business strategy shifts, leading AI/ML workflow products with measurable adoption gains, and scaling globally distributed design teams while tying UX decisions directly to ROI.”

“Startup strategy and operations leader with outsized ownership at XP Health during a hypergrowth phase, helping scale the business from $6M to $35M ARR in roughly a year. Particularly compelling for roles needing a high-trust cross-functional operator who can tackle messy, unowned problems, from pricing and deal desk to program redesigns that improve both margin and customer experience.”

“Operator-founder currently building two apps to MVP, handling everything from market research and test-user feedback to hands-on product changes in FlutterFlow and Visily. In a prior large-scale portfolio environment, they brought order to a highly disorganized 100+ person, 26-value-stream delivery organization by standardizing Jira workflows, creating stakeholder cadences, and lifting predictability from 30% to 86%.”

“Data/automation-focused engineer with hands-on experience building production workflows across marketing, sales, and RevOps at ZoomInfo. They’ve owned end-to-end automations spanning Snowflake/Databricks pipelines, ad platform API integrations, LLM-powered sales prep and deal summarization, and ML-based account prioritization.”

“Founder/CEO of a consumer products startup since 2020 who has raised angel funding and reinvested it into R&D, product development, production, and expert legal/industry support (has not taken a salary). Former financial and deals consultant who applies rigorous market, buyer-landscape, and exit-path analysis (including Blue Ocean Strategy) to choose and execute opportunities, with a strong commitment to entrepreneurship.”

“Growth creative/performance marketer currently at Walmart who led Walmart+ checkout announcement/enhancement campaigns end-to-end, combining user behavior analysis, customer feedback, and multi-variant A/B testing. Reported measurable funnel and revenue-adjacent lifts (faster checkout, nearly doubled first-time completion, +18% repeat visits, +$1.2 basket size) and uses Power BI plus platform analytics (Meta/TikTok/YouTube) to drive rapid, modular creative iteration with creators and editors.”