Vetted Power BI Professionals

Sri Vyshnavi Maganti

Screened

Senior Business Analytics Analyst specializing in product and customer analytics

Texas, USA7y exp

“Darwinbox team member who supported talent/recruiting operations while also driving product improvements across HR modules (recruitment, onboarding, payroll, performance). Led a small team (5–6) and implemented discovery-driven configuration and BI reporting (Power BI/Tableau/Confluence), including a reported 30% reduction in recruitment configuration issues and real-time funnel reporting to support fast hiring.”

Somil Shah

Screened

Mid-level AI/ML Engineer specializing in generative AI, RAG platforms, and LLM agents

San Francisco, CA4y exp

“AI/LLM engineer who has shipped 10+ production applications, including InvestIQ on GCP—a production-grade RAG due-diligence engine that ethically scrapes web/PDF sources, builds a ChromaDB knowledge base, and delivers analyst-style dashboards plus a citation-backed chat copilot. Deep focus on reliability (evidence-only answers, hard citations, refusal gating), retrieval tuning, and orchestration (Airflow/Cloud Composer), plus multi-agent systems (CrewAI with 7 specialized finance agents).”

Bharath Lingireddy

Screened

Mid-level Supply Chain Analyst specializing in strategic sourcing and supply chain analytics

Spring, TX5y exp

“Sourcing/procurement professional focused on electronic components, leading end-to-end RFQ and supplier selection through negotiation and delivery. Demonstrates strong data-driven cost management (Power BI modeling, benchmark pricing) and measurable results including ~18% cost reduction, avoiding production delays during shortages, and automating RFQ comparisons to cut cycle time ~40%.”

Cherrice Mason

Screened

Director-level Talent Acquisition Operations leader specializing in global TA programs, HRIS/ATS, and compliance

Dallas County, Texas18y exp

“Talent Acquisition Operations leader with 15+ years spanning aviation and helicopter rescue/emergency services through manufacturing, healthcare, and SaaS. Has led teams up to 30 and recently drove a major shift from a business-unit recruiting model to shared services across 8 units, improving Workday reporting/integrations and helping a SkillBridge program exceed goals by 100%.”

Mohithkumar Bolisetti

Screened

Mid-level Java Full-Stack Developer specializing in microservices and cloud platforms

Strongsville, Ohio5y exp

“Full-stack engineer focused on modernizing legacy financial/compliance platforms into cloud-native, domain-driven microservices. Deep hands-on experience across Spring Boot/Kafka/Redis/Postgres-Mongo backends and React/Angular frontends, with strong CI/CD and Kubernetes/OpenShift deployment practices for real-time, high-volume workloads.”

Archana yaramala

Screened

Mid-level AI/ML Engineer specializing in deep learning, MLOps, and LLM applications

NY, USA4y exp

“Built and deployed production LLM assistants for internal Q&A and customer-feedback summarization, emphasizing reliability (RAG, prompt tuning, validation/whitelisting) and privacy safeguards. Improved adoption by adding explainable outputs and a user feedback mechanism, and has hands-on orchestration experience with Aflow and Azure Logic Apps.”

Akam Pachachi

Screened

Executive Sales & Partnerships Leader specializing in Enterprise SaaS, Travel Tech, and Market Expansion

Oshawa, Canada14y exp

“Partnerships and growth leader (Traveronto) specializing in partner-led GTM through enterprise/API integrations and white-label distribution. Uses rigorous analytics (audience overlap, engagement quality, cohort retention/LTV) to source and scale creator/platform partnerships, and runs funnel-driven A/B tests on onboarding and pricing to improve activation, GMV, and recurring revenue while keeping CAC low.”

Daniel Berhane Araya

Screened

Senior AI/ML Engineer specializing in production-grade LLM systems for regulated finance

Fairfax, VA9y exp

“AI/LLM engineer with published work who built FinVet, a production financial misinformation detection system using multi-pipeline RAG, confidence-based voting, and evidence-backed outputs (F1 0.85, +37% vs baseline). Also built NexusForest-MCP, a Dockerized Model Context Protocol server exposing structured global deforestation/carbon data via SQL tools for reliable LLM tool use. Previously delivered borrower risk-rating (PD) models at BMO Financial Group that were validated and integrated into an enterprise credit system through close collaboration with credit officers and portfolio managers.”

“Data engineer focused on marketing/web analytics and external API pipelines, handling ~10M records/week. Built Azure-based ingestion and PySpark transformations with rigorous data quality checks, then served curated datasets into Synapse/Redshift for Power BI. Also designed an Airflow-orchestrated crypto REST API pipeline with monitoring, retries/exponential backoff, schema-change detection, and backfill-friendly reprocessing.”

“Analytics-focused candidate with internship and project experience at Recotap and CoUnderscore, combining SQL, Python, and BI dashboards to turn messy marketing and engagement data into decision-ready reporting. Stands out for tying analytics work to business outcomes, including ~15% CTR improvement, identifying ~40% misattributed spend, and enabling a ~$75K budget shift through better targeting.”

“Analytics professional with Northern Trust experience focused on investment portfolio reconciliation and reporting. They combine SQL, Python, and Power BI to clean and validate high-volume financial data, automate manual processes, and align operations and accounting teams on shared metrics—driving roughly 20% improvement in reconciliation accuracy.”

“Analytics professional at Optum with hands-on experience turning messy healthcare claims data from SQL, Excel, and CRM systems into validated reporting datasets and Power BI dashboards. They also built reproducible Python workflows for claims analysis and owned an end-to-end project focused on improving claims processing efficiency through metric design, segmentation, and stakeholder-driven operational improvements.”

“Worked on a P&C insurance integration project at Accenture, using SQL to unify policy, billing, and claims data from APIs and ETL pipelines into clean reporting tables. Demonstrated hands-on experience with data quality validation, window-function-based transformations, and query performance tuning, helping business teams get a single reliable view for faster claims processing and management reporting.”

“Analytics professional with hands-on experience unifying marketing-platform data through Fivetran and Snowflake, building reporting views, and catching source-to-report issues like timezone-driven spend discrepancies. They also owned subscription LTV/cohort analysis and engagement tracking initiatives, partnering with e-commerce, product, and senior leadership to turn behavioral and demographic data into dashboards, lead-qualification metrics, and lifecycle marketing insights.”

“Built a production, real-time clinical documentation system at HCA that converts doctor–patient conversations into structured clinical summaries using speech-to-text, LLM summarization, and RAG. Demonstrated measurable gains from medical-domain fine-tuning (clinical concept recall +18%, ROUGE-L 0.62 to 0.74) while meeting HIPAA constraints via PHI anonymization and encryption, and deployed via Docker/FastAPI with CI/CD and monitoring.”

“Analytics professional with hands-on experience in supply chain and logistics transformation, including enterprise data preparation in SQL, Python automation, and Power BI reporting. They highlight ownership of end-to-end digitization work at Blue Dart, where they defined operational metrics, aligned cross-functional stakeholders, and delivered measurable gains in transparency, reporting efficiency, and implementation quality.”

“GenAI/ML engineer with hands-on experience building production financial intelligence and document summarization systems at Citibank. Stands out for combining LLM fine-tuning, hybrid RAG, multi-agent workflows, and strong MLOps/observability practices to deliver measurable business impact, including 60% faster analyst retrieval, 31% higher precision, and 99%+ uptime.”

Sarfaraz Karim

Screened

Mid-level Finance Analyst specializing in product, analytics, and technology strategy

Chicago, IL4y exp

“Startup-oriented business development candidate who built outreach and pipeline processes from scratch for early-stage companies including a law firm and consulting-related work. Stands out for highly persistent, research-driven prospecting across social, email, phone, and even in-person outreach, including winning a hotel client after failed remote attempts by showing up with a tailored strategy.”

“Analytics candidate with strong finance/operations reporting experience, focused on billing, margin, and revenue leakage use cases. They have built SQL and Python workflows that turned messy shipment, invoice, PO, and ERP data into trusted reporting layers, replacing manual Excel processes and driving adoption through transparent reconciliation and stakeholder collaboration.”

Rajesh Palaparthi

Screened

Mid-level Industrial Engineer specializing in industrial automation and smart manufacturing

Dearborn, MI3y exp

“Manufacturing automation and controls engineer with hands-on ownership of PLC/HMI/SCADA packages for high-volume production line upgrades involving robotics, conveyors, safety interlocks, and remote I/O. Stands out for managing both controls architecture and detailed documentation while coordinating field changes and production-safe implementation in Allen-Bradley environments.”

“Developer in the mortgage domain who owns regulated client-letter and reporting changes across front-end scripting, serverless testing environments, and SQL/reporting workflows. They stand out for improving release operations by introducing SOAP UI testing, which nearly doubled letter-update throughput even while serving as the only developer on these projects, and for quickly resolving production issues within 24 hours.”

“Project/program leader focused on large-scale enterprise technology rollouts in highly distributed restaurant environments, including POS, infrastructure hardware, mobile, and SaaS platforms across thousands of locations. Stands out for managing multiple concurrent implementations end to end while coordinating complex cross-functional teams, vendors, governance, and executive stakeholders.”

“Frontend developer who helped drive a high-stakes migration from a legacy CMS-rendered UI to a code-based implementation in Visual Studio Code, acting as a POC for asset tracking and rollout coordination. They emphasize hands-on testing, QA collaboration, reusable JavaScript UI work, and cross-browser fixes, and cite a successful production launch that received positive customer feedback and internal appreciation.”

“Senior project/program leader with 20+ years delivering enterprise cloud, data, infrastructure, and operational software implementations in highly regulated environments. Has progressed from project execution into multi-stream modernization leadership, managing concurrent portfolios, executive steering committees, and governance-heavy transformations at organizations including Harvard and UniFirst.”