Data Platform Engineering | Product Manager
2020 - 2022Apple- Led and launched Asgard, a machine learning data platform encompassing artificial intelligence, MLOps, data analysis, data visualization, and data custodianship capabilities.
- Managed the product design and development of an anomaly detection system for detecting faulty requests, employing a KNN clustering algorithm, using Caret with high accuracy, and reducing operator waste time by over 80 percent.
- Directed the product design and development of a Chatbot, utilizing NLP via Rasa for reducing human intervention by 50 percent on Slack support channels.
- Oversaw the product design and development of FleetView, a star-schema data warehouse combining information from 40+ services in a single pane of glass that reduced server assignment SLAs from 3+ weeks to less than a day.
- Built a fully remote pipeline, DataOps, MLOps, machine learning, and architecture practice from the ground up, growing it to 20+ engineers and architects. Devised a training and career development plan, mentoring them to become 10x remote engineers.
Technologies: Machine Learning, Artificial Intelligence (AI), Data Management Platforms, ETL, Data Governance, Dashboards, Big Data ArchitecturePrincipal Data Scientist | Technical Product Manager
2019 - 2020Automation Anywhere- Managed the product design and development of novel graph traversal-based algorithms for identifying paths in the process. This algorithm is the core enabler of the Discovery Bot product, allowing auto-development of bots from discovered paths.
- Led the design and development efforts for a novel process fingerprinting algorithm utilizing the KNN cluster. This algorithm allowed us to understand process inter-relationships, leading to the use of graph algorithms in ms and with very high accuracy.
- Oversaw design and development for data pipelines ingesting process discovery data from client devices to a central data warehouse supporting data visualizations at a 50 percent less cost than competing vendor platforms.
- Directed the design and development of a data lakehouse to serve as a core analysis, training, and model deployment platform leading to an increase of 10x the speed in machine learning model development and deployments.
- Led a machine learning practice for the Discovery Bot in charge of a team of machine learning engineers, solving process mining and process discovery challenges via developing novel graph analysis and ML models.
Technologies: Machine Learning, Data Science, Graphs, Optimization, Artificial Intelligence (AI)Data Scientist | Management Consultant
2014 - 2019Rainmaker Technologies Inc.- Brought in to jump-start external clients’ startup products and get them up and running in data science, machine learning, eCommerce, and enterprise products domains.
- Led and launched Raincheck, a coupon sales platform competing with LivingSocial and Groupon, in less than six months, as an MVP recovered the product from a failed product launch by prior management.
- Directed product design and development for ChatFish, an industry insider AI ChatBot platform designed to be white labeled and marketed to realtors and medical professionals leading to a successful product launch.
- Managed strategic product marketing efforts for an oil and gas startup that created a novel refining technology, reducing the refining process's carbon footprint by over 50 percent.
- Oversaw product design and development efforts for a recommendation engine targeting the telecommunications industry's online checkout process, which led to a 20 percent decrease in abandoned shopping carts.
- Built and managed product, design, and data science teams, supporting all machine learning, data strategy, and product design with a culture focused on tight collaboration, transparency, and mentoring within the work hard/have fun framework.
Technologies: Machine Learning, Artificial Intelligence (AI), Computer Vision, Natural Language Processing (NLP), Recommendation Systems, Market SegmentationData Scientist
2011 - 2014Mawer Investment Mgmt Ltd.- Built a customer attrition random forest model for wealth management clients and improved monthly retention by 50 basis points for clients likely to change houses by providing timely support calls.
- Partnered with the portfolio support team to identify customer segments to target using a K nearest neighbors (KNN) clustering algorithm, improving the cold call conversion rate by over 30 percent.
- Conceptualized and developed a business intelligence, portfolio return analysis intranet web application that linked the company with external databases and delivered analysis in table, graphical, and pivot formats.
- Compiled and analyzed equity and fixed income security price data, seeking anomalies for potential mispricing opportunities leading to over $10 million in trades.
- Implemented a time series analysis to develop equity benchmarks to compare with internal equity models used in asset management, leading to reduced benchmark deviations and greater fund performance.
- Served as a data custodian in charge of corporate data integrity and access security for security pricing and fund performance data.
Technologies: MongoDB, Mercurial, SQL, Talend, Object-relational Mapping (ORM), Microsoft SQL Server, NLTK, Scikit-learn, Pandas, NumPy, Python, JavaScript, Node.js, NoSQL, Jakarta EE, Java