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Vetted Statistical Analysis Professionals

Pre-screened and vetted.

Statistical AnalysisPythonSQLDockerpandasscikit-learn
CN

Corey Noone

Staff Data Scientist specializing in machine learning, deep learning, and big data

Mountain View, CA15y exp
WaymoMIT
PythonRSQLJavaScalaMATLAB+80
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KS

Krista Shuckerow

Senior Software Engineer specializing in Siri/Maps conversational AI evaluation

Seattle, WA8y exp
AppleFlorida International University
Data analyticsStatistical analysisData structuresObject-oriented programming (OOP)Prompt engineeringKubernetes+34
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DW

Davidson Wan

Screened

Senior Investment Analyst specializing in long/short equity and fundamental research

New York, NY17y exp
Verition Fund ManagementUniversity of Chicago

“Cross-functional operator with experience coordinating a medical device build across functions and time zones, emphasizing executive alignment and decision sign-off. Has also standardized customer-site product deployment processes and streamlined investment screening/reporting using Bloomberg and Excel automation to enable faster executive decision-making.”

Data AnalyticsSQLStatistical AnalysisStrategic PlanningMicrosoft ExcelAI+54
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NR

Nandivardhan Reddy

Mid-level Machine Learning Engineer specializing in LLMs, RAG, and MLOps

Dallas, TX6y exp
OpenAIUniversity of Texas at Dallas
A/B TestingApache HadoopApache HiveApache KafkaApache SparkArgo CD+98
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CL

Craig Leathers

Screened

Staff Data Analytics Lead / Data Scientist specializing in manufacturing process control

Bellefonte, PA24y exp
IntelPenn State University

“Intel veteran who applied multiple linear regression and time-series drift analysis to semiconductor lithography overlay/metrology data, feeding model outputs into automated process control. Comfortable working across Python, VBA, and JMP/JSL, with a pragmatic approach to validation (RMSE + trend visualization) and data quality via close coordination with measurement/metrology teams.”

AutomationChange ManagementCross-Functional CollaborationDashboard DevelopmentData CleaningETL+77
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NA

Nomin Amar

Screened

Senior Data Analyst specializing in marketing operations and performance analytics

Santa Monica, CA7y exp
MetaUC Berkeley

“Performance marketing analyst at Meta supporting Amazon who identified Amazon app users as a high-value segment (2x ROAS), built and validated a retargeting audience via rigorous A/B testing, and helped drive a global rollout across thousands of campaigns resulting in ~$80M annual revenue. Strong in experiment design, SQL-driven insight generation, and translating performance learnings into cross-platform creative and catalog strategy.”

SQLMicrosoft ExcelMicrosoft PowerPointMicrosoft WordPythonSalesforce+44
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YG

Yuhan Gao

Intern Software Engineer specializing in AI agents, RAG, and full-stack web development

Pittsburgh, PA1y exp
AmazonCarnegie Mellon University
A/B TestingAJAXAlgorithmsAWSAmazon RDSAuthentication+78
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TM

Thomas Mautone

Senior AI/ML Software Engineer specializing in LLMs, NLP, and scalable ML platforms

Round Rock, TX15y exp
MetaMontclair State University
A/B TestingAgileAnomaly DetectionApache HiveApache KafkaApache Spark+121
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JT

Jaanavi Thanamala

Intern Software Engineer specializing in data engineering and LLM evaluation

Seattle, WA1y exp
AmazonUC Berkeley
A/B TestingAlgorithmsAmazon BedrockAmazon RedshiftAmazon S3Apache Airflow+102
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HJ

Houcine Jedli

Mid-level Structured Finance Structuring AVP specializing in catastrophe bonds

New York, NY4y exp
Swiss ReYale University
Risk ManagementWorkflow AutomationDashboardingStatistical AnalysisTeam ManagementPython+30
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JB

Jonathan Bourne

Principal Data Scientist specializing in AI and quantitative investment strategies

San Francisco, CA21y exp
Wells FargoHarvard University
Decision TreesDeep LearningGenerative AIJavaKerasLeadership+53
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NC

Nihash Chinthala

Mid-level Machine Learning Engineer specializing in real-time recommender systems and MLOps

Bellevue, WA6y exp
NetflixUniversity of Dayton
PythonNumPyPandasMatplotlibSciPyTensorFlow+111
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HS

Harsh Sharma

Senior Data Scientist specializing in large-scale ML systems and recommendations

Fremont, CA14y exp
Credit KarmaUniversity of Illinois Urbana-Champaign
A/B TestingApache KafkaApache SparkAWSAWS GlueBERT+102
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SM

Shuvam Mitra

Screened

Mid-level Data Scientist specializing in anomaly detection and production ML

Pittsburgh, PA4y exp
HondaCarnegie Mellon University

“Interned at Backblaze building production AI systems for incident response and security operations, including an internal LLM-powered incident triage assistant that used Snowflake + RAG over historical tickets/postmortems and delivered results via Slack and a web UI. Emphasizes reliability (PII filtering, grounding, schema validation, fallbacks) and rigorous evaluation/observability (offline replay, partial rollouts, time-to-first-action metrics, Prometheus/Grafana).”

AgileAnomaly DetectionAWSCC++Data Governance+89
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SS

Sai Sravanth Segu

Mid-level AI/ML Engineer specializing in recommender systems, fraud detection, and LLMs

Plano, TX5y exp
MetaUniversity of Texas at Arlington
A/B TestingAmazon EC2Amazon RDSAmazon S3Apache AirflowApache Hadoop+94
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DS

David Sim

Principal Full-Stack Software Engineer specializing in IoT/IIoT platforms

Cliffside Park, NJ13y exp
Johnson ControlsTexas A&M University
PythonDjangoFastAPIFlaskAngularTypeScript+88
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TH

Tzu-Yun Hsu

Mid-level Human-Robot Interaction researcher specializing in multimodal social robotics

Palo Alto, CA5y exp
1XCornell University
Statistical AnalysisPythonMATLABCC++PyTorch+52
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JS

Julian Smith

Senior Data Engineer specializing in cloud data platforms and real-time analytics

Remote10y exp
Scout MotorsUniversity of Texas at Austin
A/B TestingAmazon EC2Amazon EMRAmazon S3Apache AirflowApache Hadoop+109
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VR

Varun Raghavendra

Screened

Mid-level Software Engineer specializing in cloud, distributed systems, and frontend platforms

Boulder, CO2y exp
LenovoUniversity of Colorado Boulder

“Robotics software engineer with hands-on ROS2 experience building an audio conversion node and integrating Whisper LiveKit for streaming speech-to-text in a simulated hostile (outer space) robot environment. Also worked on a 2023 LiDAR + ML vision obstacle-detection project for a hospital-nurse-assistant robot, and has strong large-scale CI/CD deployment experience from AWS (2022–2024) across alpha/pre-prod/prod stages.”

AgileAmazon ECSAWS CloudFormationAWS CodePipelineAWS LambdaCI/CD+90
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SW

Shawn Williams

Screened

Mid-Level Backend Engineer specializing in AWS serverless and data processing

7y exp
AmazonUC Irvine

“Amazon Prime Video backend engineer who built and operated high-traffic Python/FastAPI services and AWS-native data/batch systems. Demonstrates strong production reliability and incident ownership (CloudWatch/X-Ray), plus measurable performance wins (8s to <200ms query latency, ~40% CPU reduction) and cost-focused architectures (Lambda + ECS/Fargate with Fargate Spot).”

PythonSQLBashPowerShellJavaScriptTypeScript+99
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SK

Sai Krishna Veginati

Mid-level Machine Learning Engineer specializing in MLOps, RAG, and real-time personalization

Arlington, TX5y exp
NetflixUniversity of Texas at Arlington
A/B TestingAmazon DynamoDBAmazon EMRAmazon RedshiftAmazon S3Apache Airflow+109
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SS

Sachin Suresh

Senior Data Scientist specializing in AI/ML platforms for finance and healthcare

McLean, VA10y exp
Capital OneUniversity of Illinois Urbana-Champaign
A/B TestingAgileAnomaly DetectionApache AirflowApache SparkAWS+138
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