Vetted Customer Segmentation Professionals

Sowmya Mogireddy

Screened

Mid-level Data Analyst specializing in analytics, BI, and predictive modeling

CT, USA6y exp

“Analytics professional with cross-domain experience spanning healthcare claims, logistics optimization, and customer booking funnels. They combine strong SQL/Python execution with stakeholder alignment and operational adoption, and can point to measurable impact including 18% healthcare cost optimization and 24% logistics savings.”

“ML engineer with hands-on experience building banking AI systems end-to-end, including a customer-targeting model that improved campaign response rates by about 10%. Also shipped a RAG-based banking FAQ/support feature with safety guardrails and production optimizations around retrieval quality, latency, and cost, plus reusable Python services that reduced duplicate work for other engineers.”

“Outbound-focused sales candidate with experience spanning SaaS-style prospecting at ShineCo and customer-facing consultative selling at Madrasi Chai. Stands out for highly personalized, insight-led outreach into higher education and wellness organizations, including generating 10+ qualified leads per month and turning cold, initially resistant stakeholders into meetings through research-backed messaging.”

“Analytics-oriented candidate with hands-on GTM and sales operations experience in financial services plus applied project leadership at Northeastern. Built reporting systems in Power BI/Tableau, used Salesforce for client segmentation and campaign tracking, and created reusable launch-management tools adopted by multiple teams.”

“LLM/RAG practitioner who has taken a support-ticket triage automation system from prototype to production, building the full pipeline (fine-tuned models, FastAPI inference services, vector storage, monitoring) and delivering measurable impact (~40% reduction in triage time). Demonstrates strong operational troubleshooting of LLM/agentic workflows (observability-driven debugging, fixing agent routing/looping) and supports adoption through tailored demos and sales-aligned technical communication.”

“Cross-functional operator/chief-of-staff style leader who took a product from prototype to a live pilot in 3 months, spanning public-sector data normalization, an ML matching engine, a secure API, and KPI/investor demo instrumentation. Strong focus on executive alignment and productivity via Notion-based operating systems plus automated reporting (Python/Power BI), with experience supporting fundraising and go-to-market narratives.”

Wayne Werling

Screened

Executive Operations Leader specializing in manufacturing buildouts and multi-industry scaling

Beavercreek, OH13y exp

“Entrepreneur building a self-funded men's routine/body care startup that originated from developing a topical product to support a brother’s nerve injury recovery, revealing a perceived gap in men’s care. Has also identified and executed a manufacturing coatings opportunity by creating detailed execution plans and building stakeholder trust, and describes a structured, resource-conscious go-to-market approach.”

“Analytics candidate with hands-on experience turning messy retail/customer data into clean reporting tables using SQL and PostgreSQL, then extending the work into Python-based reusable analysis workflows. They have applied segmentation, cohort analysis, and retention metric design to support dashboards and improve targeting, engagement, and repeat purchase performance.”

“Growth-creative/performance marketer who owned end-to-end paid social creative testing for Shoebacca’s seasonal footwear launch, driving ~22% CPA reduction and ~30% ROAS improvement by shifting from product-focused ads to UGC with stronger early hooks and clearer value messaging. Experienced translating platform-specific performance signals into modular creative iterations across Meta, TikTok, and YouTube, and aligning performance + creative teams via structured briefs and weekly review cadences.”

Panita Vaishnavi Kanaguduru

Screened

Mid-level Business Analyst specializing in retention, churn, and revenue analytics

Remote4y exp

“Early-career data analyst with hands-on experience at SuperWorld building SQL and Python analytics pipelines for product and growth use cases. They stand out for turning messy event and transaction data into validated funnel datasets, automating reporting to cut manual effort by ~40%, and partnering with product and marketing teams on conversion and engagement metrics.”

“Product Marketing Analyst whose role has evolved into a CRM/lifecycle and retention-focused function spanning segmentation, onboarding, engagement, and GTM strategy. They stand out for combining customer psychology, analytics, and operational campaign rigor to improve targeting precision and drive recurring revenue growth in consumer/service-oriented DTC-style environments.”

“Strategy and marketing intern at an Italian premium electric motorcycle startup who built the India GTM, positioning, and messaging for a prelaunch market entry in a category dominated by low-cost commuter scooters. Also brings analytical segmentation experience from Schott Poonawalla, where they mined a 120,000-record customer dataset to help commercial teams prioritize high-conversion segments.”

“Analytics-focused candidate with hands-on experience building SQL and Python pipelines for messy, high-volume data across e-commerce, marketing, healthcare, and regional resource allocation use cases. Particularly strong in turning ambiguous business problems into operational metrics and trusted Power BI reporting, including CLV, patient retention, and vulnerability-based segmentation.”

“CRM/lifecycle marketer at Paper Mart who grew from coordinator to owning strategy across email, SMS, loyalty, web push, and social. Stands out for using customer personas and segmentation to materially improve efficiency and engagement, including cutting sends by 46% while increasing click rates by nearly 150%, and optimizing abandonment flows to protect margin without hurting performance.”