Daniel Sundy work email
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Daniel Sundy personal email
I'm a data enthusiast with a broad background spanning finance, engineering, government, and more. I hold a Master of Analytics degree from UC Berkeley and a BA in Mathematics from California State University, Stanislaus.My toolbox includes Python, JavaScript, SQL, Tableau, and various others. With a journey to acquire these skills that took me through roles such as an Operations Analyst at Edward Jones Investments and several internships with the US Department of Energy. I also have a knack for translating technical insights into accessible information for diverse audiences.Most recently I was a Machine Learning and Production Support Engineer at LINK, where I worked with PyTorch, APIs, and NoSQL databases. I'm always happy to connect and share experiences within the data world.
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Machine Learning And Production Support EngineerLink Jun 2023 - Nov 2023Los 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. -
Market Research Analyst InternVyrill Jun 2023 - Aug 2023San 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. -
Operations AnalystEdward Jones Feb 2021 - Jul 2022St. 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. -
Business SupervisorStarbucks Dec 2019 - Feb 2021Seattle, 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. -
Machine Learning InternBrookhaven National Laboratory Jan 2019 - May 2019Upton, 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. -
Data Analyst InternBrookhaven National Laboratory Aug 2018 - Dec 2018Upton, 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.
Daniel Sundy Education Details
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University Of California, BerkeleyData -
California State University, StanislausMathematics
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Modesto Junior CollegeMathematics
Frequently Asked Questions about Daniel Sundy
What is Daniel Sundy's role at the current company?
Daniel Sundy's current role is Business Acumen | Market Research | Machine Learning | Data Analysis | Python | Data Visualization | Open to Work | NoSQL | SQL | MS Analytics @UC Berkeley | Department of Energy SULI Intern x2 | BA Mathematics @CSU Stan.
What is Daniel Sundy's email address?
Daniel Sundy's email address is da****@****nes.com
What schools did Daniel Sundy attend?
Daniel Sundy attended University Of California, Berkeley, California State University, Stanislaus, Modesto Junior College.
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