Daniel Sundy Email & Phone Number

Oakland, Ca, Us

Los Angeles, California, Us

-Optimized data integration and migration processes using NoSQL databases, ensuring uninterrupted data flow, and proactively addressed integration issues with JavaScript, node.js, and AWS SQS.-Managed API Data Retrieval and Transformation: Efficiently modified and executed HTTP API calls to gather data in JSON format, actively supported machine learning model needs, and enhanced data accessibility.-Developed and implemented machine learning models, such as Siamese networks and other LLM deep learning models, to automate data organization and extraction.-Created and modified Python automation scripts for efficient and accurate data mapping and organization.-Employed various similarity-based techniques to enhance data analysis on complex data types.

San Francisco, California, Us

-Compiled and analyzed competitor data, producing a comprehensive report that informed decision-making processes and provided a competitive edge in the dynamic e-commerce market.-Conducted in-depth market analysis to identify 12 emerging trends, opportunities, and technologies in the online video sector, contributing to the development of strategic business initiatives.

St. Louis, Mo, Us

-Spearheaded the successful transition to an asset-based service model using logistic regression and drove profitability up by an impressive 13%.-Transformed big data acquired from over 300 clients, identified correlations using NoSQL, and compiled progress reports in weekly team meetings, steering the long term goal achievement for our office.-Developed classification machine learning models in Python for client churn prediction, resulting in a 5% increase of client retention, solidifying office’s income stream and cultivating a more loyal client base.-Built databases using VBA and maintained data pipelines to guarantee data accuracy, consistency, and completeness through 20 new operating procedures, leading the office team to ensure data integrity.

Seattle, Wa, Us

-Applied an auto-regressive machine learning model on company software to calculate labor needs based on previous sales data, which reduced overtime hour cost by a substantive 3%, from 8% to 5%, saving valuable resources for the company and optimizing the team's productivity and maximum profitability.-Designed and implemented A/B testing campaigns through store-level experiments to optimize marketing.-Completed statistical analysis on customer behavior data using gradient boosting, providing actionable insights to marketing with Power BI visuals, resulting in a 8% increase in average customer order.

Upton, Ny, Us

-Calculated boundaries of energy systems in Python along selected parameters, yielding results within 95% confidence interval.-Recorded findings in weekly deliverables in LaTeX, brought reports to life with Seaborn and Tableau, and presented my work in 300-person-all-faculty meetings with poster presentations and Powerpoints.

Upton, Ny, Us

-Built and operated machine learning predictive models like multiple linear regression to forecast key experiment performance metrics and identify new opportunities for further research.-Analyzed and processed large experiment performance datasets using Python’s Scikit-Learn package and Apache Spark, identifying key features and removing outliers to improve model accuracy.

Master Of Analytics, Data

Bachelor'S Degree, Mathematics

Mathematics