Vetted Microsoft Excel Professionals

Jaideep bommidi

Screened

Senior ML Engineer & Data Scientist specializing in LLM agents, retrieval/ranking, and MLOps

Denton, TX8y exp

“Machine Learning Engineer currently at Webster Bank building an enterprise-scale LLM agent for Temenos Journey Manager/Maestro, using RAG-style multi-stage retrieval with FAISS/Pinecone, hybrid dense+sparse search, and LoRA fine-tuning optimized via NDCG/MAP and A/B testing. Previously handled messy incident/telemetry data at Deuta Werke GmbH with deterministic + fuzzy entity resolution, and has strong production data engineering experience across Spark/Hadoop and Python ETL systems.”

Harshitha Parupalli

Screened

Mid-level Data Engineer specializing in multi-cloud real-time and batch data pipelines

Jersey City, NJ4y exp

“Data engineer with healthcare domain experience who owned 100M+ record pipelines end-to-end (Kafka/Kinesis/ADF → PySpark/dbt validation → Spark SQL transforms → Snowflake/Power BI serving). Built production-grade reliability practices (Airflow orchestration, CloudWatch/Grafana monitoring, pytest + contract/regression tests, idempotent ingestion/backfills) and delivered measurable improvements: 35% lower latency and 40% better query performance.”

MOUNIKA SAI MEKALA

Screened

Junior Data Analyst specializing in financial and operational analytics

Kansas, USA3y exp

“Analytics professional with experience at KPMG turning messy operational and financial data from SQL Server and AWS S3 into clean reporting datasets and automated Python workflows. They combine SQL, Python, Power BI, and experimentation methods to deliver stakeholder-aligned KPI dashboards and marketing performance insights with a strong focus on data integrity and reproducibility.”

“Master’s in Business Analytics candidate with hands-on project experience spanning FMCG sales analytics, insurance risk modeling, and HR attrition analysis. Demonstrates strong SQL and Python fundamentals, including advanced CTE/window-function work, reproducible modeling workflows, and Power BI dashboards that translate analysis into clear business actions.”

“Analytics professional with experience at Franklin Templeton and IQVIA India, focused on turning messy cross-system data into trusted reporting and actionable business insights. Stands out for combining SQL, Python, AWS ETL, and BI dashboards to solve data quality issues, improve investor engagement analysis, and standardize commercial reporting in financial services and pharma contexts.”

“Business/data analyst with experience at KPMG and Liberty Mutual, focused on financial reporting, data quality, and analytics automation. Has built SQL and Python workflows for large transaction datasets, reduced manual reporting effort by 15+ hours per week, and translated ambiguous business questions into standardized KPIs and Power BI dashboards used for decision-making.”

Spencer Stewart

Screened

Mid-level baseball development coach specializing in analytics and player development

San Francisco, CA7y exp

“Former high-achieving pitcher and collegiate club All-American who translated his playing background into professional development coaching and collegiate baseball analytics leadership. He combines lived baseball experience, Trackman-driven evaluation, and a trusted West Coast mid-major coach network to guide athletes on recruiting, development, and college decision-making.”

“Software developer who uses AI pragmatically across the full stack to accelerate coding, testing, debugging, and documentation while maintaining strong human oversight. Stands out for treating AI output like any other code source—reviewing for architecture fit, security risks, performance, and standards before integration—and for coordinating multiple AI tools across backend, frontend, and test workflows.”

“Senior engineering leader with a rare blend of principal-level technical depth and large-scale people management, spanning identity/auth modernization, platform architecture, and cloud integration work. At Paylocity, they helped transform a legacy .NET/SQL environment into a more modular, microservices-oriented platform and dramatically reduced deployment times, while also leading teams as large as 80+.”

“Toronto-raised hockey player with experience in the GTHL and college hockey at UNC Chapel Hill who now works in the NHL focused on hockey analytics. Leverages a broad network across high school, college, and pro levels plus marketing/NIL awareness to advise players on development, recruiting outreach, and team/coach fit.”

“LLM/agentic systems builder who has deployed multi-agent educational chatbots using LangChain + LangGraph, with LangFuse-based tracing and FastAPI hosting. Focused on production reliability and performance (latency reduction via agent decomposition and caching) and on evaluation/testing (routing test scenarios, LLM-as-judge). Partnered with product to add image understanding by parsing and storing images in S3, expanding chatbot coverage to 30+ books with images.”

“Built and deployed a production long-form article summarization system using BART/T5/PEGASUS, tackling real-world constraints like token limits, latency/quality tradeoffs, and factual drift via chunking/merge logic and constrained decoding. Uses pragmatic Python-based pipeline orchestration (scheduled jobs, modular scripts, logging/retries) and iterates with stakeholder feedback to make outputs genuinely useful for content workflows.”

“Built and deployed production LLM-powered document summarization/classification systems using embeddings, vector databases (RAG-style retrieval), and automated evaluation (BERTScore/ROUGE), with a focus on monitoring and scalable cloud pipelines. Also partnered with a fraud analytics team to deliver a transaction anomaly detection solution, translating model outputs into Power BI dashboards and actionable KPIs while iterating on thresholds and alerts based on stakeholder feedback.”

“ML practitioner with hands-on experience adapting diffusion models (DDPM + U-Net in PyTorch) to improve low-dose CT medical imaging quality via denoising and upsampling against high-dose ground truth. Also built a RAG workflow during a recent internship by cleaning client survey data, embedding with OpenAI text-embedding-3-large, and indexing in Pinecone with MD5 deduplication, alongside a strong emphasis on production-grade Python practices.”

“Healthcare data/ML practitioner with experience at UnitedHealth Group building production ETL and streaming pipelines (Python, BigQuery, Kafka) that unify EHR, IoT device, and lab data for patient risk prediction. Also implemented embedding-based semantic search/linking for noisy clinical notes via domain adaptation and rigorous validation with clinical stakeholders; previously built churn prediction at DirecTV using XGBoost.”

“Regulatory manager at Rally Rd. who functioned as a de facto Chief of Staff to the CFO, driving SEC-related approvals (including IPO/asset approvals) while building firm-wide tracking systems for fundraising and asset status. Also brings Capco consulting experience supporting executive stakeholders on strategic initiatives like target operating models and workflow efficiency, with a strong emphasis on executive alignment and discretion.”

“Operations/QA-focused professional with hands-on experience improving supplier shipment accuracy and inventory integrity by standardizing documentation/labeling and implementing checklist-based validation. Uses Excel and dashboard monitoring plus regular supplier follow-ups to reduce recurring errors and prevent shipment delays; open to hybrid commute to Beverly Hills and targeting $65k–$75k.”

“Data engineer with experience across healthcare and geospatial risk systems, owning end-to-end pipelines from ingestion through serving on AWS/Azure stacks. Built HIPAA-compliant data quality gates and CDC for millions of daily claims, and also delivered a real-time wildfire risk platform with 20-minute refresh cycles and a 60% data accuracy lift. Strong in streaming (Kafka), Spark performance tuning, and production-grade orchestration/CI/CD (Airflow, Docker, Jenkins, GitHub Actions, Terraform).”

Paul Roberto

Screened

Executive CPA/MBA specializing in small business and franchise accounting & tax

Cleveland, Ohio29y exp

“Founder of an accounting and consulting firm who scaled operations organically and through acquisition, building internal structure with employee handbooks, SOPs, and integrated time-tracking/billing plus project management systems. Acts as a fractional CFO/financial partner to small business owners, using variance and operational-metric analysis to drive decisions around process improvements, acquisitions, company sales, contracts, and benefits. Strong in change management and pragmatic tooling—replacing spreadsheet-based workflows with standardized systems and templates that improve consistency and training.”

SASIREKHA GULIPALLI

Screened

Mid-level Data Analyst specializing in procurement, supply chain analytics, and applied machine learning

Alpharetta, GA4y exp

“Strategic sourcing professional specializing in seasonal apparel supply chains, combining Coupa/JD Edwards analytics with Excel/Python modeling and Power BI dashboards to drive cost reduction and OTIF gains. Notable for rapid mitigation of a 10-day factory delay affecting 12 holiday SKUs (preserved 95% of revenue) and for automating PO workflows to cut cycle time by 4.2 days and improve OTIF by 15%.”

Althea Harvey

Screened

Senior HR Business Partner specializing in People & Culture strategy

New York, NY23y exp

“Senior HR Business Partner with deep experience partnering with product/engineering, design, and analytics organizations (including Justworks and consulting), specializing in performance management, org design, and manager coaching. Led a major Workday implementation at Urban Resource Institute across multiple HR workstreams, delivering an on-time/on-budget launch with improved process speed and accuracy, and brings strong global, cross-cultural leadership practices across NA/EU/APAC.”

Abdul Mohammed

Screened

Mid-level Data Analyst specializing in healthcare and financial analytics

USA3y exp

“Built and productionized an LLM-powered clinical documentation and insights pipeline at Cardinal Health using LangChain + GPT-4 with RAG to summarize long clinical notes, extract medication/dosage entities, and generate structured SQL-ready outputs for downstream analytics. Emphasizes clinical reliability via labeled benchmarking (precision/recall/F1), shadow deployments, clinician human-in-the-loop review, and ongoing monitoring/orchestration with Airflow, Lambda, S3, Postgres, and Power BI.”

Arya Mane

Screened

Junior Full-Stack & AI/ML Engineer specializing in LLMs and multimodal document processing

Dallas, Texas1y exp

“Built a production RAG-based NBA player scouting assistant that embeds player profiles into FAISS, orchestrates retrieval and LLM recommendations with LangChain, and surfaces results via embedded Tableau dashboards. Demonstrates strong focus on evaluation/monitoring (batch tests, LLM-as-judge, latency/failure/token metrics) and has experience translating non-technical founder goals into DAPT + fine-tuning plans on curated data.”

“Quality professional with QC technician and QA experience across medical devices and pharmaceutical manufacturing (contract and direct hire). Has hands-on experience preventing shipping/packaging/labeling defects by tightening work instructions and documentation, and driving investigations/CAPA using 5 Whys and tools like TrackWise and DocuSign. Comfortable commuting to Beverly Hills and targeting $40–$50/hr.”