Vetted Microsoft Excel Professionals

Rajeshwar Peri

Screened

Mid-level Data Analyst specializing in healthcare and financial analytics

Chicago, IL5y exp

“Healthcare analytics candidate with hands-on experience turning messy claims and CRM data into validated reporting tables, automating monthly reporting in Python/Airflow, and operationalizing churn metrics in SQL and Tableau. They appear especially strong in stakeholder-aligned metric design and delivered a reported ~10% churn reduction through cohort analysis, segmentation, and at-risk member targeting.”

“Analytics candidate with hands-on experience building SQL-driven reporting tables and end-to-end KPI dashboards in Power BI and Excel. They emphasize stakeholder alignment, metric clarity, and data trust, including defining retention metrics, documenting dashboards, and creating centralized reporting that reduced manual work and improved decision-making.”

“Outbound-focused candidate coming from a Cushman & Wakefield internship where they built pipeline by prospecting potential office tenants through email, calls, and LinkedIn. They stand out for signal-based, highly personalized outreach to mid-market and enterprise stakeholders, with experience generating 2-4 qualified tours per week and thinking like a founding SDR around ICP design, account tiering, and repeatable cadence building.”

Clil Halevi

Screened

Junior Financial Markets Analyst specializing in quantitative research and FinTech

South Orange, NJ4y exp

“Analytics-focused candidate with internship experience at eToro and strong finance/product analytics exposure. They’ve worked on market sizing for Nordic stock launches, replicated a classic behavioral finance study using Python and CRSP data, and built cohort, retention, and churn analyses that informed onboarding and engagement recommendations.”

“Compensation and payroll professional with hands-on experience owning payroll-related change cycles, including minimum wage updates, retro pay, and Workday testing/configuration support. Brings a strong blend of compensation analytics and systems knowledge, having built market gap analyses, maintained pay structures, reconciled HRIS/payroll/finance data, and used Excel and Anaplan to support compensation decisions and reporting controls.”

Rohan Chodapunedi

Screened

Entry-level Data Scientist specializing in LLMs and analytics

Folsom, CA1y exp

“Built a zero-to-one AI contract/policy QA agent for compliance and data teams, with a strong emphasis on trust, traceability, and clause-level citations rather than just fluent answers. They combine full-stack product ownership with practical LLM systems design, including hybrid retrieval, structured outputs, and evaluation pipelines to improve reliability, latency, and cost.”

“Analytics professional with hands-on experience turning messy SAP enterprise data into trusted reporting layers and building end-to-end Python/Tableau analytics products. Stands out for combining technical rigor with business alignment—improving report accuracy by 30%, cutting refresh times by 25%, and independently delivering a CLV segmentation project across 96,000 customers that informed retention strategy.”

Dolly Shyam

Screened

Mid-level Software Engineer specializing in backend systems and AI-driven platforms

New York, NY4y exp

“Backend-focused developer with primary experience in Python, Node.js, databases, and API development. Served as the sole backend engineer on a customer dashboard project, owning database review, API endpoint creation, and coordination with frontend developers for integration.”

“Finance professional with IPO, capital raising, and PE-adjacent transaction experience who is also building Lungkindred, a caregiver matching platform inspired by her own experience as a lung cancer caregiver. She has shown early founder traction by sourcing users through niche patient communities and converting them into onboarded matches while navigating trust in a highly sensitive healthcare context.”

“Robotics/embedded candidate who built an IoT smart shoe for visually impaired users, implementing real-time obstacle detection with ultrasonic sensors and haptic feedback on Arduino. Has practical ROS experience (RViz/Gazebo) and improved reliability in distributed systems by hardening an Arduino-to-ROS serial protocol with framing, strict parsing, and sensor-noise filtering; also containerized ROS environments with Docker for reproducible simulation and onboarding.”

“Backend/data engineer in healthcare who built an AWS-based clinical analytics platform from scratch (DynamoDB/S3/Airflow/dbt) with sub-second clinician query goals, 99.9% uptime, and HIPAA-grade controls (KMS encryption, IAM RBAC, audit trails). Also modernized ML delivery by replacing a manual 4-hour deployment with a 30-minute Docker/GitHub Actions CI/CD pipeline using parallel runs, parity testing, and rollback, and caught critical EHR data edge cases (date formats/timezones) that could have impacted patient care.”

“Buyer with hands-on experience sourcing and managing brand partnerships, negotiating via open costing and payment terms (30–60 day credit), and evaluating launches using retail KPIs like ROS, sell-through, and inventory cover days. Emphasizes quality control during warehousing and uses location/size-level assortment rebalancing to correct underperformance. Seeking a remote role from India with a target of $30k USD annually.”

“Cross-functional operator at Andium who led founder-level initiatives spanning next-gen product launch + legacy sunset, built decision-driven operating cadences (dashboards, memos, blocker tracking), and drove international expansion after a Series B led by Saudi Aramco. Also supported a $6M strategic opportunity in Australia by coordinating pricing, product feedback loops, and internal alignment across an AI-enabled SaaS + hardware business.”

“Clinical data scientist who has built an agentic LLM-powered literature review assistant (with RAG-style storage/retrieval) to identify predictors for downstream predictive modeling. Also delivered a patient-focused progression analysis model using Databricks + Airflow orchestration, partnering closely with clinicians to define targets and validate that model insights aligned with clinical expectations.”

“ML/NLP engineer with hands-on experience building production systems for unstructured insurance claims and customer data linking. Delivered measurable impact at scale (millions of documents), combining transformer-based NLP, vector search (FAISS/Pinecone), and human-in-the-loop validation, and has strong production workflow/observability practices (Airflow, AWS Batch, Grafana/Prometheus).”

“Built and operated a real-time student event/party discovery platform with map-based search, RSVP, and authentication using React/TypeScript, Node.js, and Firebase Firestore. Demonstrates strong backend correctness under concurrency (transactions, idempotency, retries/backoff) and solid API product thinking (versioning, Swagger docs, structured errors, cursor pagination), including custom geospatial querying via Haversine filtering.”

Ramya Konda

Screened

Mid-level AI/ML Engineer specializing in healthcare ML and generative AI

Remote, USA5y exp

“AI/LLM engineer at Humana who built and deployed a HIPAA-aware RAG system for clinical record retrieval, cutting search time dramatically and improving retrieval efficiency by 30%. Experienced with Spark-scale data preprocessing, QLoRA fine-tuning, LangChain orchestration, and MLflow+SageMaker integration, with a strong testing/evaluation discipline (A/B tests, human eval) to hit 95%+ accuracy and production latency targets.”

Monisha Nettem

Screened

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

USA5y exp

“AI/ML engineer with banking domain experience (M&T Bank) who built a production credit-risk prediction and reporting platform combining ML models (XGBoost/TensorFlow) with a RAG pipeline (LangChain + GPT-4) over compliance documents. Delivered measurable impact (≈20% better risk detection/precision, 50% less manual reporting) and productionized workflows on Vertex AI/Kubeflow with CI/CD and monitoring; also implemented embedding-based semantic search using FAISS/Pinecone.”

Akshaya Mandha

Screened

Intern Procurement & Supply Chain professional specializing in logistics and ERP analytics

Charlotte, NC1y exp

“Sourcing/procurement professional from FlexGen supporting end-to-end procurement for energy storage components, including RFQs, supplier selection, cost negotiation, and PO management in NetSuite. Experienced coordinating production/shipping with suppliers and logistics, conducting site visits to assess quality systems and capacity, and mitigating landed-cost risks tied to freight and duty.”

Ron Lei

Screened

Junior QA Automation Engineer specializing in Playwright E2E and API testing

San Francisco, CA3y exp

“QA automation-focused engineer who hardens production CI/CD by integrating and stabilizing end-to-end automated tests (tackling async UI flakiness, resilient assertions/selectors, and controlled test data). Demonstrates strong cross-layer troubleshooting by correlating logs and system metrics to resolve intermittent service reachability, then adding monitoring/alerts and documentation. Also partners directly with operators to improve real-world workflows by enhancing validation logic and error messaging.”

Swati Swati

Screened

Senior Data Scientist/Software Engineer specializing in ML systems and cloud DevOps

Florida, United States5y exp

“AI software engineer with experience spanning LLM/RAG production systems and regulated fintech infrastructure. Built an end-to-end natural-language-to-SQL analytics assistant (Weaviate + GPT-4 + Supabase) shipped as an API with 92% accuracy and major time savings for non-technical users, and also owned demand-forecasting and CI/CD/containerization improvements for a Bank of America core banking deployment at Infosys.”

Visaj Kapadia

Screened

Mid-Level Full-Stack Developer specializing in AWS and scalable web platforms

Santa Monica, CA5y exp

“Software engineer with hands-on AWS experience optimizing an email campaign delivery system—re-architected a monolithic worker into multi-threaded/multi-worker ECS components to boost throughput ~600% (5 to 35 emails/sec). Comfortable debugging production issues (e.g., SQS/EventBridge policy misconfiguration) and emphasizes maintainable delivery via design docs, TDD, versioned APIs, and strong test coverage.”

PremKumar Gandla

Screened

Mid-level AI/ML Engineer specializing in MLOps, NLP, and scalable model deployment

Texas, USA4y exp

“Built and deployed a production autonomous AI data analyst agent (LangChain + GPT + Streamlit on AWS) that turns natural-language questions into validated SQL, visualizations, and insights, cutting manual analysis time by ~50%. Emphasizes reliability and MLOps: schema-aware validation/guardrails to prevent hallucinations, scalable large-data processing, and Azure DevOps CI/CD + MLflow for automated deployment and experiment tracking.”

Damaris Villa González

Screened

Entry Mechatronics Engineering student specializing in robotics and embedded control

Guadalajara, México1y exp

“Hands-on builder with projects spanning IoT/backend data systems and robotics: created a flow meter pipeline that sends readings over WiFi to a database and web server with real-time averaging and easy data download. Also diagnosed a hard-to-catch AGV/AMR reliability issue during long autonomous runs (battery voltage drop causing sensor failures) and mitigated it with voltage monitoring and a buffer circuit; familiar with Python/FastAPI API best practices (Pydantic, async, OAuth2/JWT).”