Vetted Data Validation Professionals

Ashrita Mishra

Screened

Mid-level Data Analyst specializing in analytics, ETL, and cloud data platforms

Jersey City, NJ4y exp

“Data analyst with 4 years of experience spanning banking and retail/marketing analytics. Has hands-on experience building churn analytics pipelines in SQL and Python, optimizing large-query performance, and turning stakeholder-aligned metrics into recurring dashboards and business actions.”

“Analytics professional with Intuit experience spanning modern data stack work, behavioral segmentation, and applied AI. They built dbt/Snowflake pipelines powering retention and churn dashboards, automated feedback classification with OpenAI/LangChain, and partnered closely with product and marketing teams to turn analytics into onboarding, targeting, and lifecycle messaging decisions.”

“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.”

Mehar Matta

Screened

Junior Marketing Analytics professional specializing in B2B SaaS and AI-driven insights

Richardson, TX2y exp

“Analytics professional with hands-on experience building SQL and Python workflows for marketing, funnel, and revenue reporting across tools like Salesforce, Google Analytics, and Power BI. They stand out for turning messy, multi-source data into trusted reporting layers, aligning sales and marketing on shared KPI definitions, and using segmentation/cohort analysis to improve campaign targeting and conversion performance.”

“Built from scratch a social media analytics MVP featuring an LLM-powered semantic search agent that became a core part of the product experience within a 6-week deadline. Stands out for focusing on production readiness early—retrieval-first design, explicit tool constraints, structured outputs, idempotent services, and practical eval/monitoring loops rather than demo-only AI.”

“Full-stack engineer with hands-on experience building real-time operational products across banking, insurance, and startup e-commerce environments. They’ve owned features end-to-end—from React/TypeScript dashboards and Redux performance tuning to Spring Boot, Kafka, AWS Lambda, and production monitoring—and have also shipped 0→1 capabilities where business impact was immediate, such as reducing overselling through inventory visibility.”

Lokesh Jain

Screened

Senior AI/ML Engineer specializing in supply chain and healthcare systems

Bentonville, AR6y exp

“Built and deployed AcademiQ Ai, a production LLM-based teaching assistant using GPT/BERT with RAG (LangChain + Pinecone) to handle large student notes and generate adaptive explanations/quizzes. Demonstrated measurable retrieval-quality gains (18% precision improvement, 22% less irrelevant context) by tuning similarity thresholds and chunking based on user satisfaction signals. Also orchestrated terabyte-scale, real-time demand forecasting pipelines using Airflow and Kubeflow on GCP with strong monitoring, shadow deployment, and feedback-loop practices.”

“Full-stack engineer with recent startup-style experience at SynapOne building enterprise B2B SaaS platforms for compliance and operational review workflows. Stands out for turning ambiguous business problems into production systems, including AI-assisted workflow automation, scalable Go/Python microservices, React/TypeScript interfaces, and PostgreSQL/Elasticsearch-backed platforms used daily by customers.”

“Startup-oriented operator who moved from strategy and product management into self-taught engineering to build Ratemykidscoach, a youth sports transparency platform, after participating in the Sandbox Startup Accelerator. Also has experience improving PM operating processes at Instructure's Canvas LMS and balancing strategic and operational work in an academic setting.”

“Data and backend-focused engineer with hands-on experience spanning GenAI applications, production telemetry systems, and large-scale ETL pipelines. They combine modern AI stack work (React, FastAPI, LangChain, ChromaDB) with measurable production impact, including 90% lower DB insertion latency, 50% higher ETL throughput, and 99.9% data quality in distributed environments.”

“Game-studio QA tester with full lifecycle experience (feature kickoff through release/live updates), strong in structured test planning, edge-case discovery, and disciplined defect tracking. Partners closely with engineers via Jira/standups, providing detailed repro steps, logs, and evidence, and builds regression coverage to prevent recurring UI/data-loss issues.”