Ryan Chase Email & Phone Number

Los Angeles, California, United States

Toronto, Ontario, Ca

Mountain View, Ca, Us

• Provided expert AI/ML technical guidance as the primary specialist on strategic Google Cloud accounts, leading technical discovery and advancing opportunities across 100+ organizations while tailoring solutions to meet unique customer challenges. • Established and maintained strong relationships with key stakeholders, including C-level executives and startup founders, acting as a trusted advisor to lead technical discussions around the latest GenAI and LLM techniques to build credibility and drive adoption of Google Cloud services. • Conducted in-depth technical assessments of Google AI/ML products and delivered targeted product demos tailored to showcase technical differentiators, cost savings, and other unique benefits against competitors.• Collaborated cross functionally across Sales, Product/Engineering, Partnerships, Operations, Marketing, Legal, Pricing, and Finance to drive opportunities and deliver tailored experiences for customer and prospects.Developed AI/ML solutions to advance strategic Google Cloud opportunities within the AI startups ecosystem, including:<> Advanced python-based MLOps pipeline, showcasing automated training and deployment patterns. This pipeline facilitated in-depth discussions on infrastructure for training and inference, lineage tracking, model comparison, metrics logging, data drift detection, and artifact storage. <> Question-answering system using various techniques including Retrieval Augmented Generation (RAG) where I stored text as embeddings in a vector database and used vector search to identify the most relevant information to provide to the large language model for answering a user’s question.<> Python-based model for calculating break-even costs for customers choosing between various storage classes in GCS storage classes, factoring in data volume, object count, and typical access patterns.

Worldwide, Oo

• Represented Google Cloud’s Professional Services Organization (PSO) through Deloitte-Google Partnership. Led multiple projects for Google clients as a Cloud Consultant focused on machine learning project work (Sept 2017 - Aug 2018). • Managed projects for numerous high-profile clients, leading technical discovery, project scoping and budgeting, development, cross-functional client team engagement, and QA to ensure the solution meets customer expectations. • Effectively led multiple supply-chain inventory optimization projects that led to >$250M in inventory reduction across five clients in 2016. • Developed models to identify inventory reduction opportunities within specific SKUs and distribution center locations. • Inventory was successfully reduced by improving customer demand forecasts and optimizing production and shipment schedules. • Created supply chain optimization model that integrates with front-end Tableau dashboard to identify optimal mix of suppliers to source SKUs based on supplier attributes and end-user preferences.

Englewood, Co, Us

• Provided data-driven strategic marketing recommendations to senior leadership team, including weekly presentations to C-suite on sales forecasts and marketing performance analysis to inform and optimize the organizationʼs marketing strategy.• Designed, launched, and operationalized various marketing process improvements; responsible for delivering accurate quantitative demand forecast (+/- 7% MAPE) for $500MM Marketing organization.• Built advanced marketing-mix models to evaluate the effectiveness of individual marketing tactics and optimize the organizationʼs investment strategy.• Developed demand forecasting models to predict daily sales and call volumes to inform strategic business decisions. • Conducted competitive intelligence analyses including quantifying the subscription losses and economic impact to the business based on competitor's promotional pricing.

Westlake, Texas, Us

• Promoted to the Dedicated Active Trader Team- Summer 2012• Successfully Passed Series 7 & 63 Stockbroker examinations in first attempts (Series 7 exam is a 6 hour, 250 question exam)• Zero trading errors during entire tenure as an advanced broker. • Routinely outperformed peers in all measurable metrics including: net new company assets, brokerage account sales, call handle time, customer satisfaction surveys, and demonstration of client education resources.• Cross-trained to support Charles Schwab Bank inquiriesResponsibilities:• Placed trades and frequently discussed investment products, including common and preferred stock, options, bonds, mutual funds, exchange-traded funds (ETFs), closed end funds, real estate investment trusts (REITS), annuities, limited partnerships, American depository receipts (ADRs), foreign ordinaries, and CDs. • Educated clients about basic trading mechanics such as order types (market orders, limit orders, stop orders, etc.), extended hours and pre-market trading sessions, margin loans, minimum equity maintenance requirements on securities, the inside market bid/ask spread, IPOs, and penny-stock trading rules. • Informed clients of the tax implications of investing as it relates to their cost basis, realized or unrealized gains/losses, retirement accounts, tax forms, wash sales, gifted or inherited securities, phantom interest, and accretion/amortization. • Analyzed the effects of complex corporate actions such as: stock splits, reverse splits, spinoffs, cash/stock mergers, bankrupt securities, tender offers, rights offerings, and cash/stock dividends. • Explained the inverse relationship between bond yields and outstanding bond prices, and the risks involved with trading bonds in the secondary market. • Efficiently described common trading violations to clients such as: freeride violations, good-faith violations, and liquidation violations.

Master'S Degree, Predictive Analytics

Master Of Science (M.S.), Business Analytics

Ba, Economics

Education record