Grant Kim Email & Phone Number

Irvine, CA, US

New York, New York, United States

• In Python and SQL, developed a novel classifier using ultrasonic time series data to detect 50+ false negatives weekly, reducing errors by 15% in Segment Anything Model for real-time object detection for food spillage.
• Collaborated with business stakeholders to pinpoint and mitigate the root causes of false negatives, leading to strategies that are projected to save $1.3 million and reduce product spillage across conveyors by 32.5%.
• Built ETL processes on SAP data using SQL/Python… Show more
• Built ETL processes on SAP data using SQL/Python to identify inefficiencies with KNN/network graphs. Saved 2.2M in cost Show less

New York, New York, United States

• Developed an LLM chatbot (Mistral 7 B) recommender that assist financial portfolio managers for Accenture’s clients. Used Python with Retrieval Augmented Generation to pull unstructured/structured financial data with.
• Improved perplexity by 20% via fine-tuning, reinforcement learning (RLHF) & prompt engineering. Deployed with AWS

Atlanta, Georgia, United States

• Increased customer satisfaction by 12% using scikit-learn (PCA, Elastic Net, Random Forests) and XGBoost for priceoptimization and LLMs/topic modeling for sentiment analysis with MLflow
• Created a LLAMA2 recommender system that generates operational technology (OT) cybersecurity solutions.
• Identified 20+ potential vulnerabilities in OT cybersecurity by detecting 1000+ anomalies using auto-encoders and clustering.
• Utilized a probabilistic record linkage model on 6 million… Show more
• Utilized a probabilistic record linkage model on 6 million rows, identifying 4,000+ potential fraudulent relationships between vendors and customers. Deployed an interactive visualization using Tableau and DBeaver for.

• Web-scraped website reviews of 900k documentaries to create a benchmark that quantifies the social influence of documentaries.
• Utilized text network, n-gram frequency, and topic modeling to generate a metric that quantifies 40% of the viewers as impacted.
• Fine-tuned BERT to classify documentary reviews into impactful and non-impactful categories to assess viewer engagement.
• Compared 3 data-mining methods to optimize runtime by 20% and reduced matrix sparsity by 30% to resolve… Show more
• Compared 3 data-mining methods to optimize runtime by 20% and reduced matrix sparsity by 30% to resolve memory constraints. Show less

• Examined the racialization of American public opinion on China by wrangling 30GB of 24 different broadcast television political advertisement datasets aired on the 210 media markets.
• Converted 30,000 campaign video data to raw text using IBM’s Speech-To-Text API with Python.
• Conducted descriptive statistics, visualization, bivariate regression, Structural Topic Modeling, and Sentiment Analysis utilizing R and Tableau.
• Found sentiment discrepancies between China and non-China… Show more
• Found sentiment discrepancies between China and non-China related advertisements for both Democrats and Republicans over multiple types of elections.
• Highlighted 4 key trends from text analysis and proposed 5 actionable suggestions for stakeholders. Show less

Greater San Diego Area

• Conducted primary market research and data analysis to deliver client outreach initiatives.
• Executed situation, market opportunity, Facebook advertisement data, and demographic data analysis with Python and Tableau to prepare a go-to-market strategy for a concert rewards startup company.
• Identified approximately 5,000 new serviceable obtainable market by wrangling Colorado demographic data with Python and Tableau.

San Diego, California

• Assisted in managing 9 different Online Banking (OLB) web and mobile (IOS and Android) feature integration and software development projects using Agile methods from development to production stage.
• Utilized capacity planning and portfolio management software to increase portfolio health KPIs by 15%.
• Drafted and maintained 19 project discovery and charter documents to define strategic alignment and cost estimates.
• Collaborated with 5 team members to prepare a customer… Show more
• Collaborated with 5 team members to prepare a customer acquisition strategy with the goal of increasing retail bank population by 20%. Show less

Master Of Science - Ms, Data Science

Bachelor Of Science - Bs, Political Science-Data Analytics, 4.0 Major Gpa / 3.7 Cumulative Gpa

Activities and Societies: Triton Consulting Group