Michael Ramirez Email & Phone Number

Minneapolis, Minnesota, Us

- Initiated and led the integration of Data Version Control (DVC) at Marani, enhancing medical data management and modeltracking, resulting in a 40% reduction in data and model version management time and improved auditability of data analysis.- Led the development of a Chatbot integration within the Marani app, utilizing the OpenAI GPT-4 API fine-tuned with Mayo Clinic data. This initiative delivers precise, real-time responses to pregnancy-related queries, demonstrating Marani's commitment to pioneering maternal healthcare solutions.- Built an interactive dashboard in QuickSight to analyze the performance of the commercial platform, visualizing key trends and providing actionable insights to optimize user engagement and platform efficiency.

Minneapolis, Minnesota, Us

▪ Integrated principles from The American National Standard EC57 research into the firm's deep learning model, achieving+3% improved predictive accuracy for mother and baby heartbeats; strengthened company industry positioning by reaching industry standard accuracy of 98%▪ Built and managed a user-friendly, online platform on AWS that boosted data labeling efficiency by 50%. The platform, adhering to industry security standards, maintained a 99.9% uptime, fostering collaboration among over 25 team members across different projects▪ Developed automated tools that enhanced data extraction speed by 70%, facilitating real-time updates 5 minutes after data submission. This improvement played a pivotal role in fine-tuning our predictive model, sustaining our accuracy to 98% and reducing false-positive rates by 30%

Minneapolis And St. Paul, Minnesota, Us

Bloomington, Mn, Us

Produced machine learning algorithms such as KMeans clustering and Deep Neural Networks to discover non-production data from machines in multiple factories to aid in the reduction of carbon emission Aided in the development of a data pipeline on Snowflake to store large volumes of raw data while also designing machine learning algorithms to automate analysis of filtered data using Tensorflow and SKLearn Analyzed databases using SQL, Pandas, and Seaborn to provide statistical information and visual representations of potential power leaks within the business to maintain carbon neutrality

Executed data extraction with Scrapy for web scraping, employed regex and Pandas for data cleaning, achieving 94% accuracy in isolating key industry-specific keywords and partnerships.Developed a PyTorch model using BERT for natural language processing analysis. Successfully enhanced model precision by 30% through fine-tuning hyperparameters and employing LSTM layers for evaluation of business viability based on textual data.

San Francisco, California, Us

Visualized and mapped datasets to detect trends and correlations to the outputs using Seaborn and SciPy ▪ Conducted data cleaning, calculated missing values, performed data pre-processing, and created new features to improve model performance ▪ Constructed and fine-tuned testing models such as Artificial Neural Networks and Convolutional Neural Networks to assist in over 10 research projects and competitions

Kirkland, Washington, Us

Conducted in depth internet-based research and provided information evaluation for leading companies around the globe

Broomfield, Colorado, Us

Assisted in the restaurant's daily functions including, catering, food preparation, serving,and sanitation procedures.Took necessary steps to meet customer needs and effectively resolve food or serviceissues.

Ann Arbor, Mi, Us

● Responded to telephone orders, providing quality service to customer's requests on the menu.● Listened attentively to caller needs to ensure a positive customer experience.● Ability to handle 30+ calls daily while still maintaining the pizza oven and preparing orders.

Master Of Science - Ms, Computer Science

Bachelor Of Arts - Ba, Computer Science