Chelsea Ip Email & Phone Number

San Francisco, CA, US

San Francisco, CA, US

Databricks is a Data and AI company. With origins in academia and the open source community, Databricks was founded in 2013 by the original creators of Apache Spark™, Delta Lake and MLflow. As the world’s first and only lakehouse platform in the cloud, Databricks combines the best of data warehouses and data lakes to offer an open and unified platform for.

Seattle, Washington, US

• I simplify Data and AI concepts for individuals new to the tech industry in 60 seconds or less. Together, we are enhancing the accessibility of high-quality tech education through practical demonstrations, updates, and.
• Reached over 50,000 learners across various platforms and garnered over 3 million views on platforms such as TikTok, Instagram, and YouTube. My talent for simplifying data science has led to collaborations with.
• Teamed up with the U.S. State Department to link tech enthusiasts with the Techgirls initiative, GovTech internships, and career opportunities in tech and diplomacy.
• Signed long term partnership with Rewriting the Code (25,000+ Women in Tech) to advocate for mentorship, funding, and programming resources; conducted interviews with managing directors at a joint event with.
• Developed a data science platform to share Generative AI projects, tutorials, cheatsheets, books, and recommendations. Expanded the email list to 5,000+ subscribers through AI automation.
• Grew to over $XXK in annual recurring revenue (ARR) through strategic expansion into digital products, affiliate marketing, consulting, conferences, and brand partnerships.

Seattle, WA, US

• Developed an end-to-end architecture for extracting market datasets from an on-premises real-time index system to Amazon MSK via streaming replication, achieving 100,000 records per second transfer rate and reducing.
• Positioned OpenSearch to FSI CTOs, accelerating conversational app development cycles 75% faster by demonstrating 4x quicker text query speeds versus legacy databases. Secured 4 POCs in 1 month.
• Implemented Managed Iceberg Tables across AWS and Snowflake to achieve a 30% improvement in data query performance, enabling faster data access and schema evolution for business-critical workloads.
• Leveraged Glue, Lake Formation & Datazone to build a data mesh framework to modernize the customer's data architecture. This enabled data leaders to access a point for all data products, reducing the time required to.
• Designed an observability dashboard for a customer by ingesting and correlating their application logs from Splunk (2TB daily), and other monitoring sources to provide visibility into overall system health and.
• Published packaged cloud solutions to AWS Industry Solutions; influenced $XMM+ in opportunities by ideating, designing, and developing technical assets. Awards:→ ADX Field Enablement Competition (1st Place - Trained.

Seattle, WA, US

• Delivered immersion days and public-facing workshops to hundreds of customers, which included code walk-throughs, while introducing data lake best practices to small/medium/large customers - launching $XXX K ARR.
• Created analytics/databases/machine learning content (i.e., podcasts for internal enablement, demos, immersion days, workshops, labs, code samples, reference architectures, PRFAQs, competes, white papers.
• Designed end-to-end analytics and machine learning solutions with various stakeholders and calculated the total cost of implementation.
• Act as a bridge between customers (CTOs/Data Architects/Data Engineers) and service teams by gathering multiple product feature requests while keeping the customers up to date with incoming feature rollouts.
• Implemented proofs-of-concept for strategic customers spanning data engineering, data science, and machine learning.
• Collaborated with GTM Strategists/BDs to promote multinational financial data products, generating $XX K per sales cycle. Developed dashboards combined with 3P data to conduct performance benchmarking in the retail.

Seattle, WA, US

• Led UX research and design team to build ’AI Use Case Explorer’. I conducted market research, 10+ user interviews to gather user experience feedback, competitive analysis, detailed user flow discussions, and created.
• Oversaw the development, tasks, milestone status, and resource allocation of third-party vendor in different time zones to meet the product launch timeline.
• Worked with PM, developers, end-users, and marketing to elicit functional requirements; presented low/high fidelity wireframes during weekly status meetings to align with engineering team.Knowledge Areas: Networking.

Roseland, New Jersey, US

• Built a digitalized I-9 tool in 5.5 weeks with Java, Angular, PL/SQL, and Javascript to reduce technical violation fines up to $20,000. Pitched product to internal stakeholders.Technology: Oracle Database, Java Spring.
• Designed and automated load, endurance, and stress testing with CI/CD pipeline weekly to identify server performance bottlenecks while achieving 33% (~1000 hrs/year) time reduction in manual testing.
• Enhanced automation scripts with new APIs and summarized test findings in every sprint to increase software optimizations for 10+ development teams across the organization. Presented bi-weekly to ~300+ internal.
• Analyzed transaction response times during load tests in increments of virtual users (~150+) and recorded critical metrics in a comparison template for defect review.
• Assisted in failover software testing to validate the expected recovery time and identify the capacity of the backup system (i.e., load balancer).
• Monitored bottlenecks like SQL exceptions, certificate errors, and HTTP exceptions with Dynatrace in real-time.

San Francisco, CA, US

• Conducted in-depth research on the impact of various deep learning models on mood detection performance. Optimized system accuracy by meticulously comparing and contrasting the performance of different models.
• Achieved 40% reduction in build time for real-time Facial Recognition & Emotion Detection systems on an embedded device.
• Enhanced emotion detection accuracy by mapping 6 core attributes to sentiments on a massive dataset of 4M images and 4,000 identities.
• Created comprehensive documentation detailing every aspect of the system design process, from specifications and system flow diagrams to research findings, testing, and ongoing support.

Seattle, Washington, US

Managed Android app deployment to the Google PlayStore, optimizing startup time for 100+ monthly active users and raising conversion rates by 7.5% via extensive UX A/B testing on multiple platforms.

Redmond, WA, US

• Developed a comprehensive keyword parser capable of identifying 1000+ subject-specific keywords, resulting in a remarkable 60% increase in search capabilities.
• Leveraged Azure Notification Hubs and Firebase server to implement personalized push notifications, delivering curated healthcare content to a diverse audience across iOS/Android platforms using C#.
• Revamped user login and advanced search features using HTML/CSS/J.S, resulting in a significant improvement in the search experience for over 10 employees.
• Successfully migrated legacy software code from Python 2.7 to Python 3.5 in just six months, ensuring seamless compatibility with new clients and maintaining optimal system performance.

Bachelor Of Science, Computer Science & Engineering

Master Of Science - Ms, Computer Science (Machine Learning Specialization)