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Vetted Customer Segmentation Professionals
Pre-screened and vetted.
Senior Data Science & Machine Learning Engineer specializing in credit risk and predictive analytics
Mid-level Data Scientist specializing in GenAI, NLP, and recommendation systems
Junior Data Scientist specializing in applied machine learning and analytics
Mid-level Data Scientist specializing in ML, NLP, and production AI workflows
Senior Data Scientist specializing in marketing analytics, attribution, and revenue forecasting
Mid-level AI/ML Engineer specializing in NLP, LLMs, and MLOps
Senior Data Scientist specializing in ML, fraud risk, and Generative AI (RAG/LLMs)
Mid-level Financial Analyst specializing in digital payments, treasury, and financial modeling
Mid-level Data Analyst specializing in financial analytics and regulatory reporting
Junior Data Analyst specializing in analytics and performance reporting
Senior Data Engineer specializing in multi-cloud data platforms and real-time analytics
Senior Business Systems Analyst specializing in FinTech, insurance, and data analytics
Dua Machholm
Mid-level Private Equity Analyst specializing in B2B software and infrastructure investing
“Investment professional (Associate Investor) with private-capital experience coordinating full acquisition due diligence across multiple workstreams and stakeholders (including lenders and external advisors). Has built lightweight operating cadences and pipeline visibility systems to improve executive decision-making and reduce reactive work; also has early-career experience in incubators/accelerators supporting founder workflows.”
Mid-level AI/ML Developer specializing in FinTech fraud detection and GenAI assistants
Mid-level Data Scientist specializing in financial ML, NLP, and MLOps
Victor Perez
Senior Customer Success leader specializing in PropTech and FinTech
“Customer Success / product-facing account owner in a property management/rent payments platform, managing enterprise onboarding, adoption, and subscription conversion. Strong track record using CSAT/NPS and direct customer feedback to influence roadmap (e.g., shipping UX fixes within a sprint and reducing closed accounts ~10%), plus experience implementing AI chatbot/agentic workflows to improve support and drive upsell into partner services like mortgages and insurance.”
Sundarajan Swaminathan
Senior Product Marketing Leader specializing in GTM strategy and RevOps analytics
“Growth creative/performance marketer from BYJU'S (India) who runs disciplined creative experimentation across Meta, TikTok, and YouTube. Notably shifted messaging from feature-led to outcome/testimonial-led creative, delivering CPA down 27%, ROAS up 35%, and +11% trial-to-paid conversion, and has experience leading a small creative pod (editors + writer) with a rapid-iteration production system.”
Amanda Melendez
Mid-level Customer Success Manager specializing in SaaS onboarding, adoption, and retention
“Customer Success/implementation leader with enterprise experience at ADP managing payroll tax compliance for major brands (e.g., McDonalds, Staples, Williams Sonoma) and coordinating closely with product/compliance/engineering to reduce errors and escalations. Also led cross-functional operational rollouts at Starbucks, improving customer satisfaction by 27%, and currently at Together Groups influencing product roadmap via therapist/participant feedback to lift onboarding engagement by 40%.”
Mahima Baddur
Mid-level Business Analyst specializing in data analytics and enterprise operations
“Business/data analyst with Johnson & Johnson supply chain experience, focused on turning messy SAP, legacy, and Excel data into validated reporting datasets and Power BI dashboards. Stands out for combining SQL and Python automation with strong KPI design around inventory planning, inventory turnover, and demand analysis in a complex enterprise environment.”
Hassan Abrar
Mid-level Analytics Professional specializing in marketing and business intelligence
“Analytics professional at TIAA with hands-on experience combining SQL, Python, and statistical modeling to unify complex marketing, product, finance, and customer datasets. Has worked on advisor-tool adoption analysis, 10-year wealth diagnostics, forecasting, cohort analysis, and escalation-risk modeling, with findings used by marketing and contact-center stakeholders.”
Sushma Puchakayala
Mid-level Data Analyst specializing in AI/ML and advanced analytics
“Accenture data/ML practitioner who deployed a retail churn prediction and BERT-based sentiment analysis system to production, integrating behavioral + feedback data and operationalizing it with ETL automation, orchestration, and CI/CD. Experienced managing 2TB+ multi-source data, monitoring drift in Databricks, and translating results into Power BI dashboards for marketing teams (including K-means customer segmentation).”