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Vetted Microsoft Excel Professionals
Pre-screened and vetted.
Rajeshwari Ghosh
Mid-level Talent Acquisition Partner specializing in high-volume recruiting and ATS implementations
“Recruiting professional with 2019–2024 experience managing 10–30 clients and 20+ concurrent requisitions, spanning contingency through executive hiring (sourcing) including work with Wipro’s executive hiring team. Known for operational rigor (ATS/Excel/dashboards, Asana/Salesforce) and high-touch candidate follow-up to keep BGV, drug tests, and I-9 steps on track, plus scaling delivery by coordinating 15+ vendors.”
Danilo Plazas
Senior Full-Stack Software Engineer specializing in Frontend (React/JavaScript)
“Frontend-focused engineer with full-stack experience who modernized a legacy HR platform (CoffeeScript/Marionette) by migrating key UIs to React/Redux and adding TypeScript for robustness. Built an internal client monitoring tool end-to-end with a microservices-oriented approach and strong testing practices (Jest/Selenium), and also led a major GraphQL v1→v2 migration delivered incrementally over ~6 weeks while optimizing Django/MySQL/DynamoDB performance.”
HIMANSHU SHARMA
Mid-level AI Solutions Engineer specializing in enterprise GenAI and automation
“Built and shipped multiple production LLM/agentic systems, including an agentic RAG NL-to-SQL analytics app that cut manual reporting from 9 hours/week to 15 minutes by grounding on schema-aware retrieval and robust fallback/monitoring. Also implemented a LangChain supervisor-orchestrated enterprise IT automation agent that routes requests for search, identity validation, and action execution, and created a RAG search tool spanning Jira/Confluence/SharePoint for operations stakeholders.”
Ivan Pavkovic
Senior Paid Ads Specialist specializing in multi-platform performance marketing
“Performance marketer focused on e-commerce growth, managing $120K/month in spend across Google and Meta with reported 5x+ ROAS. Emphasizes full-funnel structure and creative iteration (copy, hooks, UGC) in collaboration with in-house creative teams, and prioritizes client reporting around sales/profit outcomes.”
Sundarajan Swaminathan
Senior Product Marketing Leader specializing in GTM strategy and RevOps analytics
“Growth creative/performance marketer from BYJU'S (India) who runs disciplined creative experimentation across Meta, TikTok, and YouTube. Notably shifted messaging from feature-led to outcome/testimonial-led creative, delivering CPA down 27%, ROAS up 35%, and +11% trial-to-paid conversion, and has experience leading a small creative pod (editors + writer) with a rapid-iteration production system.”
Aarush Monga
Intern Portfolio Strategy & Sourcing professional specializing in supply chain analytics
“Sourcing/NPI leader with hands-on expertise in should-cost modeling and contract negotiations (including exclusivity and lifecycle cost-downs), leading supplier onboarding through industrialization and SOP. Demonstrated proactive trade/duty risk mitigation by driving a phased localization plan that reduced part costs by 15% then an additional 20%, and has a track record of turning around underperforming suppliers to stabilize samples and improve OTD.”
Akarsh Kangondi Lokanath
Junior Supply Chain Planner specializing in inventory, replenishment, and procurement analytics
“Sourcing/procurement professional from Pavana Impex who has owned end-to-end sourcing for production-critical materials, combining spend/demand analytics with hands-on supplier onboarding, negotiation, and production-to-delivery execution. Demonstrates strong trade and landed-cost acumen (HS classification/COO, broker coordination, packaging changes) and a structured approach to supplier performance improvement using scorecards, CAPA, and OTIF/OTD tracking.”
Sagar Patel
Mid-level Full-Stack Python Developer & Data Engineer specializing in ETL and web platforms
“Backend engineer who led major modernization efforts at GoDaddy, migrating legacy Perl services to Python/FastAPI with an incremental rollout strategy, containerization (Docker/Kubernetes), and CI/CD (Jenkins/GitHub Actions). Strong focus on secure, reliable API design (JWT, RBAC, PostgreSQL row-level security), rigorous testing, and data integrity—plus experience hardening an automated web-scraping pipeline against changing site structures and downtime.”
Kavyashree Sudhakar
Junior Business Analyst specializing in operations and banking workflows
“Entry-level data/business analytics candidate with hands-on experience building SQL and Python workflows to clean fragmented subcontractor data, generate risk scores, and feed Power BI dashboards. Also demonstrated strong operational analytics impact at Amazon by defining and operationalizing process-quality metrics that reduced CPO rate from roughly 10% to 0.6%.”
KasturiBharat Disale
Mid-level Business Analyst specializing in banking analytics and data engineering
“Analytics professional at Santander Bank with hands-on experience building SQL and Python workflows for transaction reporting, reconciliation, and monitoring across messy multi-source financial data. They combine strong data validation and exception-handling practices with stakeholder-friendly dashboards, and also bring digital analytics experience from a Google Analytics UI optimization project focused on funnel drop-off and engagement.”
Mahima Baddur
Mid-level Business Analyst specializing in data analytics and enterprise operations
“Business/data analyst with Johnson & Johnson supply chain experience, focused on turning messy SAP, legacy, and Excel data into validated reporting datasets and Power BI dashboards. Stands out for combining SQL and Python automation with strong KPI design around inventory planning, inventory turnover, and demand analysis in a complex enterprise environment.”
Hassan Abrar
Mid-level Analytics Professional specializing in marketing and business intelligence
“Analytics professional at TIAA with hands-on experience combining SQL, Python, and statistical modeling to unify complex marketing, product, finance, and customer datasets. Has worked on advisor-tool adoption analysis, 10-year wealth diagnostics, forecasting, cohort analysis, and escalation-risk modeling, with findings used by marketing and contact-center stakeholders.”
Sreenija Karnati
Mid-level Data Analyst and Data Engineer specializing in healthcare and financial analytics
“Analytics professional with healthcare and operations experience who turns messy enterprise data from platforms like Teradata, GCP, SQL Server, and Snowflake into trusted reporting layers and reproducible analysis workflows. They combine SQL, Python, PySpark, Power BI, and Tableau to improve reporting accuracy and performance, including a 30% dashboard refresh improvement and 20-25% accuracy gains in healthcare reporting.”
Likitha Reddy Kotla
Mid-level Business Analyst specializing in BI and analytics
“Analytics professional with Dell experience unifying global online sales, web analytics, SAP, and planning data across 20+ countries into scalable reporting pipelines and Power BI dashboards. Stands out for combining deep SQL/ETL work with Python automation, KPI design, and experimentation—delivering measurable outcomes like 80% less manual effort, a 2% conversion lift worth millions, and faster business decision-making.”
Anudeep Eloori
Mid-level Software Developer specializing in full-stack enterprise applications
“Software engineer with experience building and iterating high-volume Spring Boot microservices on AWS (Docker/Kubernetes) and integrating with React front-ends. Also delivered an LLM-powered document summarization system using embeddings + retrieval (RAG) with grounding/guardrails and built evaluation loops that directly drove retrieval and chunking improvements. Has scaled Kafka-based pipelines processing millions of messy financial/infrastructure records with reliability and cost/latency tradeoff management.”
Jack Matott
Intern-level policy and legal professional specializing in government affairs
“Candidate brings an unusual blend of political/parliamentary outreach, advocacy lobbying, and student-loan internship experience that translates into sales-adjacent communication and targeting work. They have hands-on experience segmenting constituent data in Excel, briefing a parliament member on outreach strategy, and adapting AI-assisted messaging to sound human and audience-specific.”
Catherine Merritt
Senior investment banking associate specializing in debt advisory and consumer transactions
“Investment banking associate with debt advisory experience who has built highly targeted investor pipelines and helped raise capital for sponsor-backed acquisitions. Stands out for combining rigorous investor outreach and process management with strong judgment on business quality, market risk, and competitive positioning across private equity, technology, and startup-related mandates.”
Alex Haeberle
Director-level Platform Engineering Architect specializing in Internal Developer Platforms
“Enterprise platform engineering leader who identified platform engineering as a major opportunity at Kyndryl and built an entire internal practice around it by codifying the offering and evangelizing it across leadership. Now exploring founding an agentic AI developer platform aimed at reducing variance and improving consistency in building/deploying cloud-native applications; has not raised capital yet.”
Keith Bonus
Senior Healthcare Operations Leader specializing in value-based care and payer-provider partnerships
“Healthcare operator/strategic program lead currently at Time Care working directly with national health insurance payer partners to translate executive priorities into operational initiatives (e.g., patient marketing, data interoperability, in-home member access). Previously led the build-out and day-to-day execution of a new value-based performance risk division at Stellar Health, combining metrics-driven operations with long-term strategy and executive alignment.”
BHARATH BHOOTHPUR
Mid-level Data Analyst specializing in healthcare and finance analytics
“Built an end-to-end Alexa smart-home IoT application controlling a Wi-Fi bulb, including ESP32 firmware (MQTT) and an AWS serverless backend (IoT Core/Device Shadow, Lambda, DynamoDB) with a REST API. Demonstrates strong real-time scalability patterns (streaming ingestion, stateless processing, partition-key design) and full-stack delivery with Spring Boot + React (JWT auth, CORS, data-heavy dashboards).”
Sushma Puchakayala
Mid-level Data Analyst specializing in AI/ML and advanced analytics
“Accenture data/ML practitioner who deployed a retail churn prediction and BERT-based sentiment analysis system to production, integrating behavioral + feedback data and operationalizing it with ETL automation, orchestration, and CI/CD. Experienced managing 2TB+ multi-source data, monitoring drift in Databricks, and translating results into Power BI dashboards for marketing teams (including K-means customer segmentation).”
Dale Herb
Executive HR & organizational development leader specializing in governance and multi-unit growth
“Operations and back-office scaling leader from Diversified Restaurant Group who helped design a 3–5 year strategy/structure/culture plan to support growth from ~$280M to $1B revenue. Experienced bringing core functions (finance, HR, payroll, risk) in-house and leading a major Workday HCM implementation, including securing C-suite buy-in for a ~$1M investment and running a collaborative RFP/workflow-mapping process.”
Kyle Holmquist
Senior Gameplay Engineer specializing in Unity/Unreal gameplay, AI, and narrative systems
“Game developer with 13 years in the games industry who built a Unity VR feature using machine learning to recognize player-drawn spell symbols, training an accurate neural network from an existing dataset and solving tricky screen-space/world-space input constraints. Actively uses AI assistants for targeted code snippets and code review while emphasizing understanding over "vibe coding," and is interested in expanding into multiplayer/networking.”
Yaswanth Thota Thota
Mid-level Data Analyst specializing in financial risk and healthcare analytics
“AI/ML engineer focused on real-time, production-grade LLM systems, with a robotics-adjacent mindset around latency/accuracy tradeoffs and modular pipelines. Built a scalable RAG-based assistant orchestrated as microservices on Kubernetes with Kafka async messaging, ONNX/quantization optimizations, and monitoring (Prometheus/Grafana), citing a ~35% hallucination reduction; has also experimented with ROS Noetic/Gazebo to understand ROS concepts.”