Jane Kim Email & Phone Number

Los Angeles, Ca, Us

Festival Company in Florida• Conduct ETL processes and implemented data pipelines to improve data quality, accessibility, and consistency, supporting more informed decision-making.• Develop Python scripts to automate data extraction and reporting analysis, increasing efficiency.•Analyze 5 years of customer data to identify trends, drive strategic decisions, and optimize growth opportunities.• Create an interactive Streamlit dashboard to provide real-time insights, enabling stakeholders to monitor and manage business performance.Orange County Base Startup• Collected 4,000 data points by web scraping using Python's libraries such as Selenium, Scrapy, and BeautifuSoup.

•Evaluated Named Entity Recognition (NER), grammar correction, and relevance models, comparing multiple algorithms and machine learning approaches to identify the most effective solutions.•Analyzed and visualized model results, providing data-driven insights into model performance and identifying areas for improvement or further fine-tuning.•Benchmarked multiple models using performance metrics such as accuracy, F1-score, precision, and recall to determine the strengths and weaknesses of each approach across various datasets.•Contributed to the optimization of Greenflash’s NLP capabilities, helping refine and improve model performance for real-time language-based applications.

• Cleaned and validated 4 years of customer and sales data, improving data quality and addressing data integrity issues to ensure accurate and reliable business insights.• Developed interactive dashboards in Python and Tableau to effectively present key insights and communicate findings to stakeholders.

• Verified and managed customer data, ensuring precision and strict compliance with regulatory standards in mortgage loan documentation.• Trained and mentored a team of six, driving improvements in mortgage compliance strategies and boosting operational efficiency by 50%.• Coordinated cross-functionally with multiple departments to optimize and expedite the loan process.• Streamlined workflows by developing detailed procedures and providing regular performance evaluations.

• Ensured timely and accurate preparation and delivery of loan documents, improving process efficiency by 70%.• Improved customer understanding and satisfaction by providing clear explanations of mortgage compliance and documentation requirements, and resolving issues efficiently.

• Processed 360 pages of customer documents daily to accurately set up an average of 12 loan files and retrieve credit reports, ensuring precision and compliance with regulatory standards.• Provided timely and effective customer support, promptly addressing inquiries and resolving issues to enhance customer satisfaction.

Bachelor Of Arts - Ba, English Language And Literature, General

Data Science

• Engage in 600+ hours of immersive hands-on learning, guided by industry experts who provide mentorship and oversight, culminating.