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Vetted Predictive Modeling Professionals
Pre-screened and vetted.
Monil Patel
Junior Software Engineer specializing in backend and cloud systems
“Full-stack engineer with hands-on experience spanning analytics products and fintech infrastructure. Built a YouTube Data Aggregator end-to-end in 2025 with ingestion, dashboards, and predictive modeling, and also shipped Stripe webhook/payment systems at FinPay supporting $5M+ in transactions with 99.9% uptime.”
Junior Data Analyst & Business Analyst specializing in BI, analytics, and process optimization
Mid-level Data Scientist specializing in GenAI, MLOps, and computer vision for robotics
Mid-Level Full-Stack Software Engineer specializing in cloud-native systems
Entry-Level Data Scientist specializing in machine learning, NLP, and cloud analytics
Mid-level AI/ML Engineer specializing in LLM agents, RAG pipelines, and AI automation
Mid-level Data Scientist specializing in ML, NLP, and Generative AI
Mid-level Full-Stack AI Engineer specializing in web and generative AI solutions
Mid-level Generative AI Engineer specializing in LLMs, RAG, and MLOps
Senior Performance & Growth Marketing Leader specializing in paid media, automation, and analytics
Senior Data Scientist / ML Engineer specializing in NLP, speech AI, and computer vision
Mid-level Generative AI & ML Engineer specializing in LLMs, RAG, and MLOps
Iaroslav Kuznetsov
Mid-level Machine Learning Engineer specializing in AdTech and scalable data systems
“Built and scaled an internal AI code-search/assistant agent that expanded from engineering-only to broader internal users, tackling legacy code and inconsistent standards to make a RAG pipeline production-ready. Uses a metrics-driven approach (user feedback + automated Python evaluation for retrieval relevance and latency) and has handled high-pressure outages, including moving parts of the stack off AWS and adopting Milvus on internal infrastructure for resilience.”
Sirisha Gadde
Intern Data Analyst specializing in analytics and machine learning
“FAU-based analytics candidate with hands-on academic project experience across SQL data preparation, Python/NLP sentiment analysis, and predictive modeling. They stand out for turning messy datasets into clean reporting tables, building reproducible analysis workflows, and translating findings into practical recommendations around operations, credit risk, and marketing ROI.”
namratha sai
Junior Healthcare Data Analyst specializing in clinical data validation and EHR/claims analytics
“QA/supplier-performance focused candidate who uses defect and delivery data to spot recurring issues early, identify root causes tied to rushed timelines/high workload, and implement practical process changes (e.g., added validation steps and tightened defect definitions). Emphasizes clear, metric-backed communication to align internal stakeholders and suppliers, then monitors post-change results to confirm sustained improvement.”
Hitha Sunkara
Junior Full-Stack Developer specializing in web apps and machine learning
“Built and organized SQL databases for a grocery pricing update backend and has hands-on experience designing FastAPI/Python APIs with security controls like authentication, RBAC, and strict validation. Also brings research experience identifying real-world failure modes (weather-driven sensor/model inaccuracies in MSE wall corrosion work) and adapting models to improve robustness, plus UI design support on an email-restricted campus hackathon enrollment flow.”
Ryan Bedran
Mid-level AI Solutions Consultant specializing in enterprise and government AI delivery
“Analytics and automation candidate with experience delivering data and AI solutions for major public-sector and enterprise clients including STC, Abu Dhabi Ports, and the Ministry of Culture. They combine SQL, Python OCR pipelines, dashboards, and cloud LLMs to turn messy unstructured data into scalable workflows, with reported impact including 70% faster document processing and 80-85% reduction in manual resume screening.”
Aldrin Azucena
Mid-level Full-Stack Software Developer specializing in web apps, CI/CD, and cloud infrastructure
“Frontend engineer (~4 years) who led an admin dashboard for potato farmers end-to-end, integrating real-time and historical weather data to drive disease-severity predictions. Built scientifically validated calculation pipelines (FAO Penman-Monteith, late blight models), rigorous Cypress/unit testing, and print/PDF-ready reporting, while optimizing performance and API load with debouncing, caching, and feature-flagged rollouts.”
Entry-level Data Analyst specializing in cloud analytics and machine learning
Mid-level Project Manager specializing in forecasting and business analysis
Mid-level Data Analyst specializing in marketing and product analytics
Senior AI/ML Engineer specializing in NLP, LLMs, speech, and computer vision