Sylvia Tran Email & Phone Number

Los Angeles, Ca, Us

Pasadena, Ca, Us

Deliver lectures on various topics in the AI and Data Science domain through the CTME an Instructor. Topics include Data Science best practices, Evaluating AI, AI Explainability, Responsible AI, issues in AI pertaining to regulatory requirements for data security, privacy, and ethics.

Greenwich, Connecticut, Us

- develop and execute against an AI/ML roadmap that aligns with executive leadership's business initiatives - manage and direct the Business Intelligence & analytics arm of the Libertas to democratize data across departments and consolidate BI platforms- work closely with DevOps and direct data engineering re: DWH automation- design interview process to expand growing data team at the company - lead data team in executing against roadmaps that align with broader business initiatives- apply data hardening measures to reduce, and eliminate data debt- work closely with CIO on data lineage & governance, role-based and attribute-based access control processes- introduced robust data cataloging and data lineage tooling

Greenwich, Connecticut, Us

- build a proof of concept model(s) to partially automate manual processes of Underwriters

Austin, Texas, Us

- developed in-house products that support an Army Phase II military contract- liaised with other companies and Army Applications Lab to meet contract requirements- researched applicable modeling techniques for anomaly detection for sensor telemetry data- roadmap 6-8 sprints ahead for contract deliverables that were also in alignment with Co roadmap

Austin, Texas, Us

- develop AI/ML product (IP) for Hypergiant - implemented processes & best practices for reproducible and maintainable production-ready code

Emeryville, Ca, Us

- NLP + CV processing & machine learning (PyTorch, TensorFlow, cv2)- build deployable models and ship production-ready code w/ fellow ML engineers and software & data engineers (Docker, docker-compose)- automate manual internal processes that thus far have resulted in department-wide cost savings (~28%, and 2,400+ work hours per month, and increased productivity by 40%)- aid product team's effort in developing new products by building POC's or testing viability of a product's data science applications / use-cases- consult internal product teams and external facing customers on machine learning applications of existing product offerings

Emeryville, Ca, Us

- recommendation systems - research ways to leverage data for data science applications in new and existing products- collaborate with product team to scope a project, set milestone deliverables, and roadmap- collaborate with other data scientists to oversee and manage workflow for deliverables- externally liaise with tech vendors to provide curated training bespoke to products in development for data science & engineering teams

Emeryville, Ca, Us

- helped generate ~$180K in revenue by developing a product that leverages metadata to generate leads for talent agents representing non-acting clients- analyze and extract insights from data that support media & entertainment products- identify trends in media / entertainment projects (pre-release and post-release)- QA data that underlies a product prior-to and post product launchGracenote is the world’s leading entertainment data and technology company that powers the top music services, consumer electronics companies, automakers, and media companies and cable and satellite operators.

New York, Ny, Us

- intro to Python workshops (evening & full-day)- intro to Data Science workshops- substitute teach Data Science 10-week part time course- intro to Python for marketing workshop

Culver City, California, Us

OpenDrives is an on-premise data storage company, developed to meet increased throughput demands of higher-resolution workflows with a NAS system that is built for performance.- build machine learning models for data storage and open ZFS- extract business intelligence insights from historical sales data- build ETL pipelines, POC and implement ML models (e.g. time series forecasting & anomaly detection) - python | MySQL & PostgreSQL | docker | Jupyter | Tableau | Salesforce | AWS

New York, Ny, Us

- Help students with mathematical (linear algebra) and statistical concepts and apply those in Python.- Assist students with environment setup in AWS (EC2) using docker and docker-compose.- Work on projects along-side students to advise them on how best to approach problem-solving in data.- Assist students with machine learning concepts (supervised and unsupervised) and applications (regression, classification, ensembling, boosting, etc.).

Los Angeles, California, Us

- Analyzed and visualized the last 4 years of Google Analytics web traffic data for finance.lacity.org and provide a trend analysis focused on differences and similarities between the experience had by the public as compared to city employees. -City employees, specifically call center and field staff, use the website to answer business-related questions from the public. - Data insights gathered will inform future educational and guiding materials for city employees.

San Francisco, California, Us

- Proposed on and obtained approval to finance a Private Equity firm's proposal to acquire a company out of a 363 Bankruptcy sale. - Underwrote, funded and closed a $73 million hold in a $650 million Revolver for a diversified wholesale apparel company to facilitate acquisition of Donna Karan from LVMH. - Underwrote and closed (as Joint Lead Arranger) $200 million syndicated Exit Facility for a sporting good wholesaler emerging from Chapter 11 via a 363 sale to a private equity firm ($35 million hold).

San Francisco, California, Us

- Managed a $619M+ portfolio of 8-12 borrowers (customers) in various industries, including a gold mining operation;- Presented recommendations for loan modifications and restructurings to credit committee and senior management to inform approval decisions. - In 2015, selected to help lead the due diligence team that examined the data and loan portfolio acquired by Wells Fargo from GE for $32Bn. The diligence required working across several departments and lines of businesses within Wells Fargo and presenting my findings to inform the decision-making for the acquisition.- Liaised with in-house developers to consolidate loan systems onto an intranet web application (3 years) that served as a dashboard, compliance tracker, and document repository.- Proposed on and was awarded the Co-Lead Arranger title to finance TrueBlue’s $310M acquisition of Seaton.- On a small team that helped to manage a distressed loan and negotiate a strategic exit from a $75M loan to a gold mining company that was in Chapter 11 bankruptcy. - Generated ~$6M of pre-tax profit for WF in the first two first two years in this role, and improved customer retention rates.- Mentored financial analysts and associates; worked closely with management and HR to develop curriculum.

San Francisco, California, Us

- Restructured a $150 million Credit Facility with deal team to facilitate a 100% debt-financed acquisition for a company in the consumer electronics space. - Negotiated the legal documentation and business points.- Restructured an $85 million Credit Facility with deal team to include a $30 million supply chain sub-facility, with a $40 million Canadian sub-facility.

San Francisco, California, Us

- Managed a portfolio of companies and cross-sold products that enhanced each company's credit facilty and/or cash management services.- Proposed on $20 million credit facility for acquisition financing for an online retailer.- Established meetings & gained traction with prospective clients.- Awarded a customer-referred $6.0 million acquisition finance credit facility & treasury management opportunity from an association.

San Francisco, California, Us

- Participated in a 4.5 month advanced credit training program to enhance credit underwriting, client relationship management, and business development skills.- Performed credit analysis including: quantitative risk assessment, financial statement analysis and projections, industry and business risk evaluation, management assessment, and loan structuring.

San Francisco, California, Us

Supported five relationship managers in overseeing a $280 million + portfolio of 120 customers with revenues ranging from $20 million to $200 million + in industries including building materials, retail, investor-owned real estate, restaurants, non-profit, and service based companies.

Charlotte, Nc, Us

Managed marketing and business development for Central and Northern CA.Developed and maintained relationships with multiple title officers to develop new business.

Us

Monitored and updated monthly and quarterly performance for client portfolios ($20 million+ assets under management / customer).

New York, Ny, Us

Facilitated smooth closing and funding of loans for borrowers. Accommodated a 60% increase in productivity at branch by training and managing a team of four loan processors within four months.

Master Of Science - Msc, Computational Data Analytics

Bachelor Of Science - Bs, Applied Mathematics, Finance & Accounting

Certificate, Data Science Immersive