James Sanders Email & Phone Number

Denver, Co, Us

Collaborated with data scientists from Stem and NVIDIA to build a day-ahead electric loadforecasting model that beat the target benchmark by 22%.• Built pipeline using Python, Tensorflow, Keras, Pandas and Numpy to ingest and clean 10GB, 167 million row smart meter time series dataset.• Conducted exploratory data analysis and visualization using Matplotlib and Seaborn.• Engineered cyclically encoded features from time variables, including seasonal decomposition using statsmodels, yielding 25% model prediction accuracy improvement.• Built and evaluated 4 deep learning model algorithms: Multi Layer Perceptron (MLP), Long Short Term Memory (LSTM), Recurrent Neural Network (RNN) and Gated Recurrent Network (GRU).Partnered with data scientist from Stanford School of Medicine to build a breast cancer survival prediction model that surpasses the “good” C-index threshold of 0.7.• Shapley model feature importance analysis revealed 5 key genetic and clinical survival factors, each corroborated by other research as biomarkers for breast cancer.• Illustrated exploratory data analysis and results with Seaborn and Matplotlib.• Coded Scikit-learn model pipeline using Python, Scikit-survival, Pandas and Numpy to load and cleanse 20k column genetic expression dataset for 1,300 tumor samples.• Used select K best, then recursive feature elimination for feature selection.• Trained and evaluated 4 machine learning model algorithms: Cox Proportional Hazards, Scikit-survival Gradient Boosting, XG Boost and Logistic Regression.Earning machine learning certifications to broaden and deepen my understanding of machine learning algorithms, mathematics and statistics.• Deep Learning Specialization• Generative Adversarial Networks Specialization• Generative AI with Large Language Models

Boston, Ma, Us

Building Machine Learning Platforms to enable data science and machine learning teams to trainbetter models faster, and operate them more efficiently.• Launched ML feature store and pre-compute pipeline on Google Vertex AI, delivering ~$4M annual revenue from the first model adopter.• Cut model and feature serving platform latency by 65% for 3 real-time models, delivering ~$50M annual revenue.• Migrated all on-prem ML Platform components like feature engineering and serving and model serving to Google Cloud Platform (GCP).• Partnered with data engineering to build a streaming features offering for high data freshness, low latency ML models.• Defined platform KPIs, built instrumentation to capture data to Google Big Query and dashboards for stakeholders to monitor KPI progress.• Added Reinforcement Learning capabilities from Vowpal Wabbit enabling three marketing models to perform better with up-to-the-minute data.

Boston, Massachusetts, Us

DataRobot combines a trusted enterprise AI platform and a trusted AI-native strategic partnership for global enterprises that want to harness the power of AI and their existing teams to succeed in today's Intelligence Revolution.Led the go-to-market strategy, development roadmap and successful launch of the AI Applications offering.• Filled a major strategic gap in the AI & ML product portfolio• Launched in record time• Rapid customer traction exceeded plan• Strong internal adoption across sales, support and partners• Built the customer and partner ecosystem via beta program and other tactics• Defined roadmap strategic themes and product success metrics• Managed backlog of product ideas, enhancement requests, market requirements and market feedback• Collaborated with engineering to plan and track product releases• Led product enablement across marketing, sales, supportAI Applications expands the total addressable market for DataRobot into new personas, use cases and markets, and accelerates time-to-value for customers’ AI and Machine Learning initiatives. The offering consists of:• AI Applications platform and infrastructure• Applications Gallery for discovery and installation of apps• Applications: Predictor, What-If, Optimizer, Marketing Mix• AI Apps SDK

Cambridge, Cambridgeshire, Gb

IQGeo is the leading geospatial productivity and collaboration platform for utilities and communications network operators, relied on by thirty thousand industry professionals. Hired by the CEO, I used my product management expertise and infrastructure network industry experience to lead the transition from a mainly services revenue business to a high margin and growth recurring revenue product business.• Revenue from our own products has increased 22% year-over-year• Led strategy and repositioning of the IQGeo product portfolio• Developed, positioned, priced, packaged and launched six new products• Established partnership with Salesforce and published app to the AppExchange• Developed and launched subscription pricing model

Highlands Ranch, Co, Us

Co-Founded a mobile-first SaaS company providing a beautiful, map-enabled, simple to use mobile field workforce management, asset management and field operations optimization platform to the oil and gas, utilities, telecommunications and field services industries. As head of product strategy and business development, defined market segmentation and product differentiation, and drove the product roadmap. Led technical pre-sales and implementation team for key enterprise accounts. Developed and trained sales team on industry specific product sales plays, demonstrations and sales process.• Led product strategy and roadmap on platform that beats out market leaders in head-to-head competition• Built market segment, sizing and revenue model for business plan that secured initial seed investment • Grew from original three founders to eighteen employees• Led initial sales, signed first four customers to validate product demand and secure first recurring revenue• Provided the key industry expertise in oil and gas, energy utilities and telecommunications during the sales process to secure several cornerstone enterprise customer contracts• Developed diverse, referenceable customer base with account revenue expansion• Steered strategy through a number of pivots based upon Lean Startup principles of structured experimentation and learning from data, successes and failures

London, United Kingdom, Gb

Built a product management team to grow the portfolio of web services APIs, SDKs and spatial data products that enable customers, developers and partners in the global oil and gas industry to connect their mapping and other systems to their IHS data subscriptions. • Developed and launched the market leading Energy Map Services product and platform• Product usage and performance exceeded plan, with users in more than fifty countries• Recruited and managed a high caliber distributed product management team• Established eight revenue producing partnerships, including Schlumberger and Halliburton Landmark

London, United Kingdom, Gb

Managed portfolio of five web services APIs, SDKs and spatial data products for the worldwide upstream Oil and Gas market. Responsible for multi-year product roadmaps, pricing, revenue forecasts and goals. • Developed business case and secured funding for three new products marketed around the globe• Delivered 46% compound annual revenue growth

Southbank, Vic, Au

Irving, Tx, Us

Irving, Tx, Us

Us

Us

Bridgewater, New Jersey, Us

Garching Bei Muenchen, De

Graduate Diploma, Business Systems

Bachelor Of Arts, Computer Science, History