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Vetted Power BI Professionals
Pre-screened and vetted.
Senior Business Analyst specializing in data analytics and business intelligence
Mid-level CRM Analyst specializing in Microsoft Dynamics 365 and Power Platform
Junior Software Engineer specializing in data engineering and machine learning
Mid-level Data Engineer specializing in analytics engineering, ML forecasting, and modern data stacks
Mid-level Generative AI Engineer specializing in LLMs, NLP, and multimodal systems
Mid-level Analytics Engineer specializing in dbt, SQL transformation, and Snowflake
Senior Data Scientist specializing in GenAI, LLMs, and Analytics Engineering
Mid-Level Software Engineer specializing in backend microservices and cloud automation
Executive IT leader specializing in digital transformation and enterprise systems
Mid-level Financial Analyst specializing in banking and credit-risk analytics
Mid-level Business Analyst specializing in finance, data analytics, and AI infrastructure
Mid-level Software Engineer specializing in financial dashboards and internal tools
Senior Product Leader specializing in AI, growth, and monetization
Senior Technical Project Manager specializing in e-commerce and digital marketing
Senior Data Engineer specializing in cloud data platforms and big data pipelines
Aashish Gururaj
Mid-level Supply Chain & Program Management Analyst specializing in procurement and analytics
“Tesla sourcing/supplier readiness professional focused on critical lithium-ion battery components, owning end-to-end supplier onboarding and delivery execution. Uses SQL and Power BI to run integrated readiness plans across samples/approvals/tooling and proactively mitigates cost and import-duty risks while improving supplier performance through structured execution cadences.”
Sahithi S
Mid-level AI/ML Engineer specializing in NLP, MLOps, and Generative AI
“Built and deployed a production generative AI chatbot at NVIDIA using LangChain + GPT-3 integrated with internal data sources, cutting response time nearly in half and improving CSAT by ~12 points. Also delivered LLM-driven QA tools by fine-tuning Hugging Face transformer models and deploying via an AWS-based pipeline (Lambda/Glue/S3) with orchestration (Airflow/Step Functions), CI/CD, Kubernetes, and monitoring (MLflow/Splunk/Power BI).”
Sai Krishna Yemineni
Mid-level AI/ML Engineer specializing in healthcare NLP, real-time risk systems, and ML platforms
“LLM-focused customer-facing engineer who repeatedly takes document Q&A and agentic prototypes into secure, monitored production systems. Experienced in reducing hallucinations via RAG + guardrails, diagnosing retrieval/embedding issues in real time, and partnering with sales to run metrics-driven PoCs that overcome accuracy/security objections and drive adoption.”
Sahithi K
Mid-level Data Engineer specializing in cloud data platforms and streaming pipelines
“Data engineer with experience at Moderna and Block owning high-volume (≈10TB/day) production pipelines on AWS, using Kafka/S3/Glue/dbt/Snowflake with strong data quality and observability practices (schema validation, anomaly detection, CloudWatch monitoring). Also built external financial API ingestion with Airflow retries, throttling/token rotation, and schema versioning, and helped stand up an early-stage biomedical data platform with CI/CD and incident debugging.”