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Vetted Data Cleaning Professionals
Pre-screened and vetted.
Mid-level Supply Chain Analyst specializing in demand planning and inventory optimization
Mid-level Data Analyst specializing in BI, ETL automation, and dashboard reporting
Mid-level Business Operations Analyst specializing in healthcare analytics and Salesforce
Mid-level Data Analyst specializing in analytics, dashboards, and growth insights
Senior Software Engineer specializing in full-stack .NET and AI/ML systems
Amit Prajapati
Mid-level Software Engineer specializing in full-stack development and applied AI
“Built a production RAG chatbot for Worcester Polytechnic Institute that indexes 500+ webpages using FAISS + Llama 3, with strong grounding/hallucination controls (confidence thresholds and citations). Also has internship experience orchestrating multi-step ETL pipelines with AWS Step Functions and delivered a 30x faster fraud/claims triage workflow at Munich Re using association rules and stakeholder-friendly dashboards.”
Kalyani sai laxmi pallavi lakkoju
Mid-level Data Analyst specializing in BI, supply chain, and AI analytics
“Analytics-focused candidate with hands-on experience in both supply chain data and AI product analytics. They have built SQL and Python pipelines for messy ERP/inventory data as well as high-volume user event data, and have driven experimentation, retention measurement, and dashboarding for AI avatar and voice/image cloning features.”
Jasmeet Kaur
Mid-level Business Analyst specializing in FinTech and banking operations
“Operations-focused analytics candidate with hands-on experience turning messy production and QA data into clean reporting tables using SQL and Python. They have built repeatable Excel-based KPI workflows, defined practical manufacturing performance metrics, and used machine/shift segmentation plus stakeholder-friendly dashboards to reduce defects and improve production efficiency.”
Vamsidhar Vuddagiri
Mid-level AI/ML Engineer specializing in LLMs, MLOps, and Azure
“AI/ML engineer who led Impacter AI’s production deployment of a specialized outreach LLM (CharmedLLM) fine-tuned on GPT-4.1, cutting API costs ~40% while boosting outreach effectiveness ~60%. Built the supporting MLOps and data infrastructure (MLflow, Kubernetes, PySpark, Kafka) and has agentic AI experience from University of Dayton, using LangChain + RAG and vector search (Pinecone) to improve reliability and reduce hallucinations.”
Junior Software Engineer specializing in FinTech and full-stack development
Mid-level Data Scientist & AI Engineer specializing in NLP, computer vision, and MLOps
Mid-level Data Engineer specializing in cloud data pipelines and streaming analytics
Mid-level Full-Stack Software Engineer specializing in healthcare and enterprise web applications
Executive AI/ML & Platform Technology Leader specializing in LLMs, GraphRAG, and security
Senior Program Manager specializing in data governance, audit readiness, and analytics
Mid-level Machine Learning Engineer specializing in healthcare and enterprise analytics
Senior Business Analyst / QA Lead specializing in cloud, security, and enterprise testing
Junior QA Analyst specializing in telecom testing and data-driven insights
Mid-level AI/ML Engineer specializing in financial risk, NLP, and MLOps