Vetted Statistical Analysis Professionals

Pre-screened and vetted.

JJ

Mid-level Data Analyst specializing in ETL, data quality, and entity resolution

8y exp
ComcastWashington University in St. Louis
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RS

Mid-level Business Analyst specializing in product analytics and AI-enabled decision support

Reston, VA4y exp
MicrosoftVirginia Commonwealth University
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VP

Mid-level AI/ML Engineer specializing in recommender systems, NLP, and MLOps

Remote, USA4y exp
SpotifyUniversity of Bridgeport
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AJ

Executive AI/ML & HealthTech Technology Leader (CTO/Founder)

Singapore, Singapore6y exp
Watch Your HealthManipal Institute of Technology
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HR

Mid-level Data Scientist specializing in marketing analytics and scalable data platforms

Remote, USA5y exp
AdobeNortheastern University
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PV

Mid-level Data Engineer specializing in AWS, Spark, and streaming data pipelines

USA, USA4y exp
UberAuburn University
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AM

Abhishikth Meesala

Screened ReferencesStrong rec.

Mid-level AI/ML Engineer specializing in NLP, Generative AI, and fraud detection

Dallas, TX4y exp
PwCCampbellsville University

At PwC, built and productionized an agentic RAG enterprise search assistant over 6M internal documents (8M embeddings), deployed across AWS and GCP. Drove major retrieval gains (72%→92% precision via BM25+dense hybrid with RRF and cross-encoder re-ranking), reduced hallucinations 30%, achieved <2s latency at 50–60K queries/month, and cut support tickets 30%—boosting adoption to 2,500 users by adding source-cited answers.

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RM

Ryan McDowell

Screened

Senior Software Engineer specializing in pricing, marketplaces, and data engineering

Remote9y exp
Ballast Point AnalyticsUniversity of Chicago

Built and operationalized intelligent pricing infrastructure for live event ticketing at StubHub, emphasizing iterative prototyping with traders and production-grade monitoring (Splunk, API/data-stream thresholding). Also partnered with customer-facing teams to drive adoption and helped win a significant consignment revenue-share deal by demoing the system to the Philadelphia 76ers and quantifying pricing efficacy and business impact.

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Deenanadh Polavarapu - Mid-level Data Scientist specializing in machine learning, analytics, and cloud data pipelines in Herndon, VA

Mid-level Data Scientist specializing in machine learning, analytics, and cloud data pipelines

Herndon, VA3y exp
EpsilonTrine University
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AS

Intern AI/ML Engineer specializing in data science, NLP, and reinforcement learning

San Jose, CA1y exp
ZscalerStony Brook University
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SK

Junior AI Research Engineer specializing in NLP, speech and generative AI

Gurugram, India3y exp
SHLG.L. Bajaj Institute of Technology and Management
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PC

Intern AI/Data Science Engineer specializing in LLM agents, data engineering, and predictive analytics

Overland Park, Kansas1y exp
Novel CapitalUSC
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DC

Junior Data Scientist specializing in causal inference, NLP/LLMs, and forecasting

San Diego, CA3y exp
StepStoneJohns Hopkins University
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JR

Mid-level AI/ML Engineer specializing in Generative AI, LLMs, and RAG for financial services

Hyattsville, MD4y exp
Morgan StanleyUniversity of Maryland, College Park
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GP

Junior Software Engineer specializing in LLMs, RAG, and Knowledge Graphs

New York, NY2y exp
Arena InvestorsColumbia University
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UP

Mid-level Data Scientist specializing in ML, NLP, and LLM applications

Phoenix, AZ4y exp
Judicial Branch of ArizonaNortheastern University
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PP

Senior Data Engineer specializing in Cloud Data Platforms and Generative AI

Brooklyn, NY11y exp
JPMorgan ChaseOsmania University
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JB

Principal Data Scientist specializing in AI/ML forecasting and MLOps

Fort Collins, CO14y exp
HasbroGalvanize
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JS

Principal Data Scientist specializing in LLMs, RAG, and enterprise AI products

Winchester, TN9y exp
SambaNovaSewanee: The University of the South
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Vaughn Eugenio - Mid-Level Software Engineer specializing in distributed microservices and real-time systems

Vaughn Eugenio

Screened ReferencesModerate rec.

Mid-Level Software Engineer specializing in distributed microservices and real-time systems

2y exp
DraftKingsUniversity of South Carolina

Software engineer with production experience at DraftKings and SRC, owning high-impact platform changes like early-start lineup validation fixes and a multi-service refactor to support dual-role players (e.g., Ohtani) using backward-compatible, feature-flagged rollouts. Has embedded onsite with military users to rapidly ship improvements to a COP/TAK mapping integration (TrackSync), and leverages AI tools (Claude) to accelerate learning and delivery in new domains (e.g., ESP32 smart deadbolt project).

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