Vetted Power BI Professionals

MUNI CHARAN SINGAMALA

Screened

Mid-level Data Analyst/Data Engineer specializing in SQL, ETL pipelines, and BI dashboards

Florida, USA4y exp

“Built and supported a production analytics backend (Python, PostgreSQL/Teradata, Airflow) powering KPI/reporting dashboards, and resolved peak-time latency/timeouts through systematic SQL tuning (EXPLAIN ANALYZE, indexing, query rewrites, pre-aggregations). Also shipped an applied AI-style feature that generates plain-language report summaries from pre-computed metrics with validation, monitoring, and fallback to manual review.”

Li Pan

Screened

Junior Investment Banking / Hedge Fund Analyst specializing in equity research and valuation

Austin, TX2y exp

“Early-stage investor/operator profile with experience at AugCap sourcing and evaluating founder-led opportunities via high-volume outbound (email/LinkedIn) and turning cold outreach into partnership discussions, including supporting valuation and strategy work. Also built Carquote.AI and drove early traction by landing 20+ paying pilot users in four weeks.”

“Sales development professional with experience in childcare furniture and earlier startup-style business development in Australia, including building pipeline from scratch with no inbound support. Stands out for combining high-volume outbound with thoughtful research, multithreaded stakeholder messaging, and ROI-based objection handling that helped land large multi-site childcare accounts.”

“Built and shipped "OnCall Copilot," a production Slack-based RAG assistant that answers on-call questions from runbooks and postmortems with citations using a FAISS vector index. Emphasizes reliability and measurable performance via strict guardrails ("no evidence, no answer"), evaluation metrics, drift monitoring, and operational hardening with Docker, logging, health checks, and offline fallback.”

“Procurement/sourcing professional at Brightmark owning end-to-end CAPEX sourcing for uptime-critical plant components, from RFQs and vendor onboarding through production tracking and delivery. Demonstrated measurable savings (10–12%), mitigated supplier credit and trade/duty risks (Incoterms/HS code/COO), and improved AP/vendor relationships by fixing PO/invoice scope and documentation issues using SAP, Asana, and eMaint.”

“Sales professional at AutoSherpa who partners closely with product/engineering to resolve CRM data-sync issues affecting pipeline accuracy and sensitive customer data handling. Experienced running multiple customer onboardings in parallel using structured tracking (CRM/project boards), early risk logging, and weekly stakeholder syncs; targeting $100k base and open to equity.”

“Procurement/sourcing professional with hands-on end-to-end purchasing experience using SAP/ERP—checking inventory, issuing POs, comparing approved suppliers on cost/lead time/performance, and tracking orders through delivery. Demonstrated strong cost control by catching invoice vs PO mismatches (including unapproved freight charges) and improving a late supplier’s OTD through tighter communication and expectations.”

Pallavi Deshmukh

Screened

Mid-level Full-Stack Software Engineer specializing in React, Node.js, and Android media SDKs

USA5y exp

“Backend/data engineer who built an end-to-end real-time stock analytics platform: ingesting multi-source market data via Kafka/APIs, transforming it into dashboard metrics (e.g., Bollinger Bands), and storing in BigQuery/MySQL. Strong DevOps/GitOps experience deploying Python/Node microservices on Kubernetes with Docker/Helm, CI/CD (GitHub Actions/Jenkins), and ArgoCD, plus hands-on troubleshooting and migration work.”

Ritika Sisodiya

Screened

Junior Data Scientist specializing in statistical modeling and machine learning

California, USA2y exp

“AI Researcher with production experience building a real-time computer-vision detection pipeline augmented by an LLM-based verification layer to cut false positives (~78%) and reach ~90% real-world accuracy. Also partners cross-functionally with Product/Sales/Marketing to shape AI feature prioritization and market positioning using analysis and interactive dashboards.”

“Analytics professional with experience spanning infrastructure, energy, and digital engagement data. They have built SQL and Python workflows to turn messy operational data into trusted reporting assets, and led a wind turbine SCADA analysis that quantified roughly $1M in cumulative performance loss and translated findings into actionable Power BI dashboards.”

“Marketing and product-focused analytics candidate with hands-on experience turning messy large-scale data from Hadoop/HDFS, Azure Data Lake, and transaction systems into validated reporting tables. They combine SQL and Python automation with strong metric design, cohort/retention analysis, and stakeholder-friendly dashboards, including a reported 30% query performance improvement and weekly reporting automation.”

“Candidate has hands-on hardware experience fabricating a MIMO UWB antenna, including identifying mathematical design parameters, using simulation software, and validating performance through S-parameter results. Also mentions using Figma for design work, though details on workflow and collaboration were limited.”

“Sales development candidate with hands-on outbound experience across email, phone, and LinkedIn, producing 4-6 meetings per week and roughly 10-15 SQLs per month. Demonstrates a thoughtful, insight-led prospecting style, including objection handling with VP-level buyers, multithreaded outreach, and a clear framework for building an SDR pipeline engine in low-enable­ment environments.”

“Built and owned a production RAG-based internal knowledge assistant end-to-end, from experimentation through cloud deployment and monitoring. Demonstrated strong practical GenAI judgment by choosing prompt optimization and retrieval tuning over fine-tuning for dynamic data, driving a 40% to 50% reduction in time to answer while improving relevance, lowering hallucinations, and increasing productivity.”

“Built an end-to-end agentic population health strategy copilot for healthcare leadership, turning broad chronic disease questions into structured, evidence-backed strategy briefs. Stands out for combining healthcare domain knowledge with production-grade GenAI implementation, including LangGraph orchestration, Databricks/MLflow deployment, human review, and quality gates focused on citations, metrics, risks, and safety.”

“Backend engineer who has led redesigns and migrations for a real-time logistics platform, improving scalability and resilience while managing eventual consistency tradeoffs. Demonstrates strong distributed-systems rigor (idempotency, transactions, async queues, monitoring) and builds secure, versioned FastAPI APIs with JWT/OAuth2, RBAC, and database row-level security.”

“Built a production multi-agent RAG assistant using LangChain/LangGraph with OpenAI embeddings and FAISS, focusing on retrieval quality and latency (Redis caching, parallel retrieval, precomputed embeddings). Experienced orchestrating ETL/ML pipelines with Airflow and Databricks Workflows, and has delivered an AI assistant for business ops to extract insights from policy/compliance documents through close non-technical stakeholder collaboration.”

“Built production LLM/agent systems for procurement and contract spend controls, including a proactive contract value leakage detection platform that moved an organization from reactive audits to pre-payment rejection. Combines multi-agent orchestration (Semantic Kernel/LangChain/AutoGen), document AI benchmarking (Textract vs Azure DI), and MLOps/testing (MLflow, QTest/Pytest) with strong security practices (RAG-grounded responses to prevent prompt injection). Integrated anomaly alerts directly into SAP SES workflows and Power BI dashboards, citing ~$38M leakage addressed across large spend environments.”

“Built and deployed production LLM applications including a natural-language-to-read-only-SQL system focused on ambiguity handling and query safety (schema whitelisting, intent validation, confidence checks, deterministic execution). Experienced with LangChain-based, modular agent orchestration and RAG document QA for large PDFs, with a metrics-driven testing/evaluation approach and cross-functional delivery with marketing on an AI content recommendation/search tool.”

“Built and deployed a production AI-powered personalized learning platform (Django + FastAPI) featuring an LLM+RAG tutoring assistant and automated grading. Demonstrates strong applied LLM reliability engineering (structured JSON outputs with Pydantic validation, hallucination control via FAISS-based RAG thresholds and refusals) plus scalable async microservice design and Airflow-orchestrated ETL across AWS/GCP.”

“Lifecycle/CRM marketer from Lid Vizion who led behavior-segmented onboarding/reactivation email programs, delivering a 26% lift in email engagement. Experienced running A/B tests (subject lines, CTAs, send times) and coordinating cross-functionally across creative/product/dev to align influencer, blog, and email messaging—cutting go-to-market time by 20%.”

“F2P mobile LiveOps/product specialist (iOS) who acted as a bridge between product, design, and data during the live phase—analyzing player behavior, identifying loop friction, and iterating on progression, rewards, and live events. Emphasizes trust-preserving monetization through incremental cohort rollouts and tight monitoring of retention, funnel, revenue, and player feedback signals.”

“Master’s capstone at Stevens: conceptualized and helped build a cross-platform assistive mobile app for visually impaired users with currency detection (ML), voice-driven AI chatbot (OpenRouter), and a guided navigation video-call feature using a shared room code. Personally implemented Firebase login/sign-in, facial-recognition login, video calling, chatbot integration, and led integration/testing across the full app.”