Vetted Customer Segmentation Professionals

“Analytics candidate currently at Facteus with hands-on experience turning messy transactional data into trusted reporting layers in Snowflake and Power BI. They combine SQL and Python automation with strong validation, performance tuning, and stakeholder-facing metric design, including cohort-based retention and segmentation work that improved trust and adoption of analytics.”

“Growth/creative marketer from Esleydunn Games who uses Google Analytics to integrate cross-channel performance data (TikTok, YouTube, LinkedIn, Facebook) and run structured A/B tests on video ad length and layout. Reported reducing CPA by 20 per customer when leveraging YouTube and TikTok, and improved CTR through CTA/button placement testing and ongoing user-feedback loops (forum/WeChat topics).”

Sri Vyshnavi Maganti

Screened

Senior Business Analytics Analyst specializing in product and customer analytics

Texas, USA7y exp

“Darwinbox team member who supported talent/recruiting operations while also driving product improvements across HR modules (recruitment, onboarding, payroll, performance). Led a small team (5–6) and implemented discovery-driven configuration and BI reporting (Power BI/Tableau/Confluence), including a reported 30% reduction in recruitment configuration issues and real-time funnel reporting to support fast hiring.”

Archana yaramala

Screened

Mid-level AI/ML Engineer specializing in deep learning, MLOps, and LLM applications

NY, USA4y exp

“Built and deployed production LLM assistants for internal Q&A and customer-feedback summarization, emphasizing reliability (RAG, prompt tuning, validation/whitelisting) and privacy safeguards. Improved adoption by adding explainable outputs and a user feedback mechanism, and has hands-on orchestration experience with Aflow and Azure Logic Apps.”

Bala Venkateswarlu K

Screened

Mid-level Data Scientist specializing in Generative AI, NLP, and MLOps

USA5y exp

“Built and deployed an LLM-powered claims-document summarization system (insurance domain) that cut agent review time from 4–5 minutes to under 2 minutes and saved 1,200+ hours per quarter. Hands-on across orchestration and production infrastructure (Airflow retraining DAGs, Kubernetes, SageMaker endpoints, FastAPI) and recent RAG workflows using n8n + Pinecone, with a strong focus on reliability, cost, and explainability for non-technical stakeholders.”

“Telecom (Verizon) AI/ML practitioner who built a production multimodal system that ingests messy customer issue reports (calls, chats, emails, screenshots, videos) and turns them into confidence-scored incident summaries with reproducible steps and evidence links. Also built KPI/alarm-to-ticket correlation to rank likely root-cause domains (RAN/Core/Transport), cutting triage from hours to minutes and improving MTTR.”

“Data engineer focused on sales/marketing analytics pipelines, owning ingestion from CRMs/ad platforms through warehouse serving and dashboards at ~hundreds of thousands of records/day. Built reliability-focused systems including dbt/SQL/Python data quality gates with alerting, a resilient web-scraping pipeline (retries/backoff, anti-bot tactics, schema-change detection, backfills), and a versioned internal REST API with caching and strong developer usability.”

“Exited founder who spent 12 years building and operating The Konery, scaling it from a parents’ kitchen into a nationally distributed CPG manufacturing business in Brooklyn and selling it in 2025. Deep hands-on operator with end-to-end CEO experience, including doubling capacity through machinery implementation and running SQF certification for five years with two perfect audits.”

“Founder-led CRM/lifecycle marketer and early-stage operator who built a narrative-driven email program at Andine, contributing to 3x Black Friday sales YoY through segmentation and A/B-tested optimization. Also helped launch the Cleo concept shop, generating $200K in first-quarter revenue while owning backend operations (inventory, reporting, vendor outreach) and hiring/training a 4-person sales associate team.”

“Value-added services leader at América Móvil (Claro Peru) who launched and scaled a gaming app through telco distribution, using revenue-share partnerships and multi-channel GTM (SMS, app notifications, retail/distributors). Strong in data-driven segmentation and continuous optimization of acquisition/engagement loops, with success measured via activations, usage/retention, and incremental revenue.”

“ML/NLP practitioner with banking experience (M&T Bank) who has built a GPT-4 RAG system using LangChain and Pinecone to connect unstructured customer data with internal knowledge bases, improving accuracy and reducing manual lookup time by 50%+. Strong in entity resolution and productionizing scalable Python data workflows, including major performance wins by migrating bottleneck joins from Pandas to Dask.”

“Former mechanical engineering professional who pivoted into business development and drove major international growth through strategic partnerships (helping scale headcount from a few to 300+ in 2–3 years). Now finishing an MBA (graduating in May) and building a recruiting/hiring-manager-focused product—prototype complete, validating demand, and aiming to launch an MVP within ~2 months before fundraising.”

“Infrastructure/DevOps engineer with strong production ownership across AWS and Kubernetes, including leading real outage recoveries and building governance-heavy IaC/CI/CD in regulated environments. Has designed DR failover testing programs and implemented policy-as-code and peer-reviewed deployment gates to prevent repeat incidents; experience cited at Rackspace, Strategic Systems, and CTS.”

David Kim

Screened

Director-level Brand & Marketing Leader specializing in luxury, lifestyle, and omnichannel growth

Brea, California18y exp

“Brand and growth marketing leader who helped launch Gentle Monster USA and evolve the brand from offline-centric to a digital-first global expansion engine, delivering 126% sales growth and a more diversified customer base. Also drove a strategic pivot at legacy B2B manufacturer Flexfit—expanding channels (LinkedIn/Reddit), implementing ingredient branding, and scaling inquiries from ~5.5k to 17k+ annually through multi-audience campaigns and improved tracking/registration flows.”

“Accenture data engineer who greenfielded a supply-chain lakehouse platform, building an end-to-end medallion/Delta pipeline ingesting ~1.4TB/day from 17+ ERP/WMS/TMS/shipment sources. Delivered Gold datasets to Redshift/Synapse/Databricks SQL powering Power BI/Tableau with a 99.5% SLA, while cutting runtime 30% and cloud costs 16% through Spark/Delta optimizations and robust data quality controls.”

“Analytics professional with hands-on experience building SQL/Python pipelines, customer ID mapping logic, and self-serve BI dashboards across marketing/CRM and regulated aviation reporting environments. Particularly strong in turning messy multi-source data into trusted reporting assets, with repeated claims of major efficiency gains, faster decision-making, and high-confidence stakeholder adoption.”

Rachel Kellogg

Screened

Executive revenue leader specializing in consumer, beauty, wellness, and omnichannel growth

Lincoln, CA20y exp

“Entrepreneur from a family of entrepreneurs who is building a service business focused on helping small businesses create the infrastructure needed to scale over a 3-6 month engagement. Differentiates through a mix of visionary thinking, operational execution, and the ability to restore belief and momentum in founders who have lost passion along the way.”