Hua-Lai, Tseng (Justin) Email & Phone Number

New York City Metropolitan Area

Led the creation of an advanced revenue projection model by merging analytical and business research methodologies, resulting in a significant enhancement of forecast accuracy for new retail media clients. This initiative directly influenced strategic decisions, supporting the company's objectives for sustained growth and demonstrating a profound synthesis of complex data and market insights.Enhanced the operation resolution process, achieving increased efficiency and receiving positive feedback from stakeholders. Utilized advanced data analytics and effective cross-functional communication to transform insights into actionable solutions, demonstrating a strong capability in data mastery and stakeholder engagement.Facilitated a robust knowledge-sharing ecosystem, contributing to the development and implementation of key projects like data automation and machine learning-related jobs. Through proactive engagement and the promotion of continuous learning, I helped foster a collaborative environment and drove the team toward shared goals and innovations.

New York City Metropolitan Area

Led a comprehensive overhaul of annual data, resulting in a 25% improvement in data accuracy and operational efficiency. Transformed raw annual data into key metrics, offering a sophisticated overview of organizational performance. These insights significantly influenced decision-making processes.Revitalized Tableau dashboards for annual reporting, implementing strategic chart redesigns that enhanced data visualization and readability. This not only optimized internal decision-making but also fulfilled clients' long-awaited desire for insightful data representation.Developed Python notebooks for efficient client data scraping and processing through API requests. Conducted in-depth analyses using Tableau, identifying system issues, evaluating client engagement rates, and providing strategic recommendations for improved client satisfaction and retention.

Greater New York City Area

Partner with fellow Data Scientists, applying quantitative analysisusing Python, SQL, SciPy, ML/DL models to complete the followingprojects:New Market Growth (Food Delivery Service): Share findings and recommendations with the product team after manipulating datasets through statistical software in Python. Apply Machine LearningClassifiers to detect loyal customers and their characteristics toexpand the product’s market further.Market Insights & Forecasts (NYC Property): To predict NYC’s future property market, I applied regression models and obtained a28% increased R^2 score for continuous target variables rangingfrom 0 to 4 billion USD. Also applied Time series analysis(ARIMA,SARIMAX, etc.) on aggregated data. Now working on using DeepLearning Algorithms(Keras, Tensorflow) to improve the result.Fraud Detection (Credit Card Transaction): Cooperating with a team and trying to increase the F1 score on detecting fraud transactions.By writing Python functions and applying them as data filters, Ifound that the fraud rate will triple under certain circumstances.Combining added variables and Machine Learning/ Deep LearningAlgorithms for binary classification, we increase the F1 score by 8%

Shanghai City, China

Responsible for researching datasets related to automotive andother service industries. Solution extraction, strategic planningutilizing Excel to perform quantitative and qualitative analyses ongathered data. PowerPoint used to present visualized data.Modified strategies during client meetings. Restructured researchmethodologies to achieve the client’s scopes.Partner withmanagement providing Chinese market insights and marketingstrategies for our international educational service clients afterdata collecting, data visualization, statistical inference, andconferences with internal and external sources.

Shenzhen, Guangdong, China

Research and design investment products for investors to makedecisions on a multi-million dollar investment in Tokyo's propertiesmarket by performing quantitative analysis on data and notesgathered from property agencies, industry experts, and research.Collaborate with the Product & Sales team, I applied statisticalanalysis on workers' progress and performance data collected by aself-developed production chain. We help optimize the product bymitigating risks and generate a 50% growth in return customers forthe luxury travel brand.Collect investors' data and perform risk analysis toselect/recommend candidates for each fund product. With thelaunching of products and satisfied clients, I created a win-winsituation for our company and investors, delivering on KPI's.

Bachelor Of Science - Bs, Financial Mathematics, 3.67/4.00

Activities and Societies: IVHQ(Tanzania volunteer)

Data Science Career Track