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Vetted Power BI Professionals

Pre-screened and vetted.

Power BIPythonSQLTableauDockerAWS
DG

Devdatt Golwala

Mid-level Data Scientist/ML Engineer specializing in LLMs, NLP, and recommender systems

New York, NY3y exp
AdobeColumbia University
A/B TestingAlgorithmsAWSBashChromaDBC+81
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WC

Wendy Cherry

Senior HR Business Partner specializing in workforce planning, compliance, and HR analytics

12y exp
CitibankVillanova University
Workforce PlanningPerformance ManagementCoachingChange ManagementData AnalyticsReporting+52
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MS

Mahsa Shateri

Director of Enterprise Analytics specializing in AI/ML for healthcare and insurance

California, USA15y exp
CignaUniversity of Toronto
Data GovernanceData QualityData WarehousingAutomationPredictive ModelingAnomaly Detection+86
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PY

Piyush Yadav

Senior Full-Stack Python Developer specializing in cloud, data platforms, and GenAI

Cupertino, CA12y exp
AppleUniversity of Phoenix
PythonJavaScriptTypeScriptJavaC++SQL+137
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RG

Ramya Gurrala

Mid-level Machine Learning Engineer specializing in fraud detection and recommendations

Bay Area, CA6y exp
StripeBinghamton University
A/B TestingAgileAmazon RedshiftAmazon SageMakerAmazon S3Anomaly Detection+179
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PP

Parikrama Punj

Senior HR Business Partner specializing in Sales & GTM organizations

Avenel, NJ13y exp
AmazonFORE School of Management
Performance OptimizationWorkforce PlanningCoachingPerformance ManagementChange ManagementStakeholder Management+54
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CC

Chris Chestnut

Senior Customer Success & Program Management leader specializing in enterprise SaaS and working capital

San Ramon, CA18y exp
SAPCalifornia State University
AutomationChange ManagementComplianceCross-Functional LeadershipJiraProgram Management+66
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AS

Ananta Singh

Senior Software Engineer specializing in cloud, data platforms, and LLM/RAG applications

Fremont, CA7y exp
Volvo GroupSan José State University
AgileApache AirflowApache KafkaAWSAzure DevOpsAzure Functions+99
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AB

Abhinav Bachu

Mid-level AI/ML Engineer specializing in cloud MLOps and GenAI for fraud detection

New York, NY4y exp
StripeNJIT
PythonNumPyPandasScikit-learnTensorFlowPyTorch+124
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KM

Karan Mehta

Screened ReferencesStrong rec.

Director-level Business Operations & GTM Strategy leader specializing in analytics and performance

Foster City, CA9y exp
ZSUSC

“ZS consultant/product owner who repeatedly turns vague GTM performance goals into decision-centric analytics products and operating rhythms. Has scaled analytics initiatives from pilots into $1M+ platforms with 100+ leader adoption, and tied measurement tools to material business outcomes (e.g., $10M+ incremental revenue impact) through change management and cross-functional alignment.”

Go-to-Market StrategyCross-Functional LeadershipStrategic PlanningSQLTableauMicrosoft Excel+71
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KB

kayla Battle

Screened

Senior Global Talent Acquisition Operations leader specializing in HRIS/ATS modernization and analytics

Plano, TX8y exp
PepsiCoWestern Governors University

“Talent Acquisition Operations leader with 8 years of experience owning global recruiting process strategy and TA technology. Led a global iCIMS ATS implementation and standardized recruiting workflows across 15 markets, partnering closely with finance, legal, L&D, and local HR teams to ensure compliance (including Egypt-specific labor law requirements) and enable cross-market recruiter support.”

Power BITableauWorkforce PlanningBudget ManagementData AnalysisVendor management+37
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PT

Pavanika Thotakura

Screened

Senior Data Engineer specializing in cloud big data pipelines and real-time streaming

Seattle, WA6y exp
AmazonUniversity of North Texas

“Amazon data engineer who built a real-time fraud detection pipeline for AWS Lambda, tackling multi-region telemetry quality issues and scaling stream processing for billions of daily requests. Strong in production-grade data/ML workflows on AWS (EMR, Glue, Kinesis, SageMaker) with hands-on entity resolution and anomaly detection.”

PythonSQLPySparkScalaJavaBash+139
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DM

Deekshit Myakala

Screened

Mid-level Software Engineer specializing in cloud automation and data/ETL platforms

Arlington, Virginia6y exp
AmazonVirginia Tech

“Backend engineer with AWS multi-region production experience building APIs and workflow automation for data center/storage hardware operations (firmware orchestration, maintenance checks, ticketing, dashboards). Also shipped an internal AI chat tool that parses hardware runbooks and incorporates user feedback to retrain the model, and has a strong testing/quality discipline (95%+ coverage) plus database performance tuning via indexing and query monitoring.”

JavaGoTypeScriptPythonC#SQL+94
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BS

Bhagya Sunkara

Screened

Mid-level Full-Stack Developer specializing in cloud-native backend services and real-time data platforms

Remote, USA4y exp
NetflixUniversity of Dayton

“Backend/data engineering candidate with Netflix experience designing and migrating analytics platforms from batch to real-time streaming (Kafka/Flink) across AWS and GCP. Delivered measurable improvements (40% lower data delay, 99.9% accuracy) using phased rollouts, automated data validation (Great Expectations), and strong observability (Prometheus/Grafana), and proactively hardened pipelines with idempotency to prevent duplicate Kafka processing.”

AgileApache KafkaApache SparkAuthenticationAWSAWS Lambda+150
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MS

Michael Smith

Screened

Executive HR Business Partner specializing in global people experience and organizational transformation

New York, NY11y exp
Wells FargoNew York Institute of Technology

“HR Business Partner with strong senior-leader partnership experience spanning org design/workforce planning, people analytics, and executive coaching. Has led high-impact retention and compensation strategies using attrition and market data, and managed complex employee relations matters including an ADA disability discrimination case through investigation and separation agreement.”

Change ManagementProblem SolvingPerformance ManagementWorkforce PlanningMicrosoft OfficePower BI+66
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DK

Dheeraj Kumar

Screened

Intern Data Scientist specializing in marketing analytics and data engineering

Tucson, Arizona2y exp
RochePurdue University

“AI/LLM practitioner with internships at Dell Technologies and Roche who built and deployed a healthcare-focused "Doctor LLM" by fine-tuning Meta Llama 3.2 on healthcaremagic.json, emphasizing safety guardrails to prevent harmful medical advice. Experienced in productionizing AI workflows with monitoring, testing, and orchestration (Airflow, Kubernetes), and in delivering AI-agent-driven competitive landscape insights to non-technical business stakeholders.”

Amazon RDSAmazon S3API DevelopmentAPI GatewayApache AirflowApache Hive+95
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LF

Luc Fletcher

Screened

Executive Chief of Staff / COO Advisory leader specializing in banking strategy & operations

New York, NY15y exp
Anthony Palles LLCPenn State University

“Operations/program leader who partnered closely with a COO to drive transformation initiatives (compliance workflow automation and budgeting redesign), implementing governance cadences and executive dashboards to improve alignment and decision speed. Managed a $120MM operating budget and successfully delivered regulator-mandated resolution planning under tight timelines, while maintaining strict discretion during restructuring work involving sensitive HR data.”

BudgetingChange ManagementComplianceCross-Functional CollaborationForecastingGo-to-Market Strategy+83
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AV

Asrith Velireddy

Screened

Mid-level AI/ML Engineer specializing in MLOps, LLMs, and scalable ML systems

Harrison, NJ4y exp
AdobeNJIT

“ML/LLM engineer at Adobe who deployed a transformer-based personalization and campaign-targeting recommender system end-to-end, including PySpark/Airflow pipelines processing 12M+ events/day and containerized inference on AWS SageMaker (Docker/Kubernetes). Also has hands-on LLM workflow experience (RAG, semantic search, prompt optimization, hallucination mitigation) with a metrics-driven approach to reliability, drift monitoring, and reproducible retraining via MLflow.”

A/B TestingApache AirflowAuto ScalingAWSAWS IAMAWS Lambda+123
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KD

Kella Dhanush Venkata Sai

Screened

Junior ML Engineer specializing in Generative AI and LLM applications

Thousand Oaks, California3y exp
NVIDIACalifornia Lutheran University

“Built a production internal knowledge assistant using a RAG pipeline over large spreadsheets, PDFs, and support documents, using transformer embeddings stored in FAISS. Focused on real-world production challenges—format normalization, retrieval quality, hallucination reduction (context-only + citations), and latency—using hybrid retrieval, quantization, and containerized deployment, and communicated the workflow to non-technical stakeholders using simple analogies.”

PythonNumPyPandasScikit-LearnMatplotlibSeaborn+95
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AR

Alex Rachlin

Screened

Director of Finance & Operations Transformation specializing in FP&A and Anaplan

New York, NY10y exp
Brookfield Asset ManagementWesleyan University

“Cross-functional digital transformation and operations leader with experience at Brookfield and Celonis, building centralized roadmaps and executive dashboards to align priorities across Finance/Accounting/Operations/Portfolio Management. Implemented FP&A reporting automation and sales compensation/performance reporting (Anaplan, Monday.com), and established strong PII governance via access approvals and monitoring.”

Data modelingBusiness developmentStrategic planningMicrosoft ExcelMicrosoft PowerPointAnaplan+64
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JL

Jiaqi Li

Screened

Junior AI Engineer specializing in healthcare analytics and compliance AI

Pittsburgh, PA1y exp
CustomerInsights.AICarnegie Mellon University

“Built and shipped a production LLM-driven multi-agent platform (ciATHENA) at CustomerInsights.AI to automate analytics/ML/compliance workflows in healthcare and life sciences. Implemented LangGraph/LangChain orchestration with strong backend-style rigor (schemas, Pydantic validation, retries, auditability) and optimized latency/cost while keeping the system usable for non-technical users via guided natural-language interactions and structured/visual outputs.”

PythonRScikit-LearnPyTorchPredictive ModelingMachine Learning+79
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RM

Rohaan Malik

Mid-level Supply Chain & Procurement Analyst specializing in planning, ERP, and supplier performance

Morton, IL3y exp
CaterpillarUniversity of Michigan
ForecastingCustomer ServiceInventory ManagementVendor ManagementRoot Cause AnalysisBudget Management+64
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