Marco Santos Email and Phone Number
Results-driven professional with 5+ years of experience in Data Science, Python programming, and technical writing, fueled by a passion for Artificial Intelligence, Machine Learning, and Data Analytics. Proven expertise in developing and deploying Machine Learning and Deep Learning models, building scalable MLOps frameworks, and optimizing complex data structures and algorithms to solve real-world problems. Highly collaborative yet self-reliant, excelling in both team-oriented and independent projects. Authored and published technical articles on AI/ML-based projects, effectively translating complex concepts into accessible insights for global audiences. Eager to contribute cutting-edge solutions to advance AI-driven innovation.Programming: Python, SQL, C++, Jupyter, Git, CLIMLOps, Generative AI, LLMCloud Based Services: AWS, GCP Statistics, Algebra, MathematicsDeep Learning: Tensorflow, PyTorchMachine Learning: Scikit-Learn, Numpy, Pandas, NLTK, NLPWeb Scraping: Selenium, BeautifulSoup Data Visualization: Plotly, matplotlib, pyplot, ggplot2, seabornTechnical Projects:+ GIA LLM Assistant | Utilizing AWS Bedrock to develop and deploy a generative AI/Large Language Model integrated with company proprietary data to support business applications and employees.+ Shape Determination Model | Migrating a deep learning PyTorch model to an AWS Sagemaker Pipeline, leveraging cloud-native architecture to improve efficiency and reduce deployment time by 75%.+ AI Matchmaker | Employing unsupervised machine learning clustering and NLP to grouptogether dating profiles+ Node Anomaly Detection | Contributed to the development of an ML model for Cox which detects anomalous node behavior in order to optimize the use of field technicians' time and effort before a customer impacting issue arises.Technical Articles:+ Teaching a Machine to Trade Stocks like Warren Buffett | a guide through data wrangling, feature engineering, and analysis to the classification modeling phase of the development of stock classifier + How to Use Machine Learning and AI to make a Dating App | a tutorial in using unsupervised machine learning and NLP to match dating profiles with one another+ How to Make a Website with Python and AWS | a step-by-step tutorial in deploying Python Streamlit web applications using an AWS Instance
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Data ScientistGia (Gemological Institute Of America)New York, Ny, Us -
Data ScientistGia (Gemological Institute Of America) Oct 2022 - PresentCarlsbad, California, Us• Migrated a deep learning PyTorch model to an AWS Sagemaker Pipeline, leveraging cloud-native architecture to improve efficiency and reduce deployment time by 75%.• Engineered and deployed a Large Language Model (LLM) with AWS Bedrock, integrating proprietary data to improve contextual accuracy and enable generative AI for business applications.• Built a production-ready machine learning pipeline in AWS SageMaker, improving model training time by 60%, enabling faster iteration and deployment cycles.• Optimized model training workflows using SageMaker Processing Jobs, improving performance and reducing operational costs by 80%.• Applied MLOps practices to streamline model lifecycle management, integrating AWS services such as Sagemaker, S3, and Lambda for seamless AI/ML operations. -
Technical WriterLinode May 2022 - Oct 2022Philadelphia, Pa, Us -
Data ScientistCox Communications Mar 2022 - Oct 2022Atlanta, Ga, Us• Engineered a Sagemaker data pipeline to run 30+ concurrent executions in AWS for training and modeling jobs under the MLOps framework.• Utilized dozens of AWS services to develop options and products based on business requirements and KPIs in 10 day sprints. • Operated PySpark to analyze, extract, and transform large datasets totaling over 100 million records.• Collaborated with and across Agile Data Science teams to build and present ML projects to boundary partners. -
Technical Writer - Data ScienceMedium Jul 2019 - Apr 2022San Francisco, California, Us• Authored 50 articles regarding data science, data engineering, and programming related topics and projects.• Communicated and demonstrated complex subject material to over 10,000 readers from technical and non-technical backgrounds, and garnered over 2,000 dedicated followers.• Awarded Top Writer status in 3 of Medium's most popular subjects: Artificial Intelligence, Education, and Finance. -
Data Scientist & Principal Software EngineerIntuily, Inc. Sep 2020 - Mar 2022• Coordinated with frontend developers using Agile methodology to develop the app which won first place at the Dell for Startups Pitch Competition at the Dell Experience during SXSW 2022.• Lead the planning, design, and implementation of the AWS serverless framework for the platform's only backend infrastructure. • Constructed a data aggregation and reporting system using a third party API to build a GUI measuring performance and engagement. • Deployed and automated dozens of ETL and data pipelines utilizing RESTful APIs to process user information for data warehousing. -
Data ScientistSelf-Employed Oct 2019 - Oct 2020New York City, New York, Us• Collaborated with a foreign entrepreneur to build a new AI powered dating app using unsupervised machine learning, NLP, and recommender system.• Developed a series of personal projects related to Data Science, Data Engineering, and Machine Learning.• Scraped, mined, and explored data related to those projects from many different web sources.• Studied numerous subjects related to Data Science including programming, algebra, and statistics. -
Data Scientist - Immersive StudentFlatiron School Jul 2019 - Oct 2019New York, New York, UsSkilled up in Python, Statistical Analysis, Machine Learning, and Deep Learning in this 15-week intensive training program. As part of the program I attended lectures, completed individual and group programming assignments, code challenges and projects to demonstrate a comprehensive understanding of both the theory and applications necessary to become a Data Science professional. • Studied a variety of data science tools in depth, including Python, SQL, Scikit-Learn, Pandas, and Keras• Worked both individually and in teams to develop and present a variety of data science projects including:Stock AnalyzerUsing technical, fundamental, and sentimental analysis on a stock with Machine Learning Models • Implemented Selenium and BeautifulSoup to web-scrape data for data visualization and preprocessing.• Collected 65,000+ rows of fundamental stock data for classification using a tuned XGBoost Model.• Experimented with a Neural Network and Implemented Facebook Prophet to forecast stock prices.AI MatchmakerEmploying unsupervised machine learning clustering and NLP to group together dating profiles• Published the data wrangling, exploration, analysis, and modeling processes in multiple Medium articles.• Constructed over 6000 fake profiles by data wrangling bios and stored them in a Pandas DataFrame.• Preprocessed the user bios with NLTK and clustered the dating profiles using Hierarchical Agglomerative Clustering.Movie Industry ResearchExploring data gathered from multiple web sources to determine a movie’s success• Gathered attributes from 715 different films using API calls and web-scraping, then uploaded them to an AWS Database.• Cleaned and processed the data with Pandas and used Matplotlib to visualize the film data.• Evaluated a movie’s success based on the visualizations created to determine a film’s financial success. -
Quantitative DeveloperSelf-Employed Feb 2017 - Jul 2019New York City, New York, Us• Programmed multiple different trading algorithms in Python and C++ for use in the FOREX and stock markets.• Exercised hundreds of option trades, spreads, and strategies, then monitored the underlying stock movements using technical analysis.• Utilized multiple charting software programs to evaluate and identify technical indicators and patterns.• Monitored and reviewed multiple press sources each day to analyze and track market and stock fluctuations. -
Administrative AssistantBuilding Electronic Controls, Inc. Aug 2017 - Dec 2017• Answered calls and directed any questions to the appropriate sources.• Communicated with many different contractors and companies using Microsoft Outlook.• Developed the necessary paperwork and contracts and prepared them for processing.• Kept track of documents and tasks using Microsoft Excel.
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Operations CoordinatorHealthsource International, Inc. Sep 2013 - Aug 2017• Involved in the planning and strategy that increased annual revenue 150% in 5 years.• Managed and maintained product inventory including coordination of shipments with multiple carriers for timely pick-up and delivery.• Executed inventory management processes to improve efficiency and reduce costs.• Administered quality control procedures in both the production and assembly lines. • Computed invoices, purchase orders, and bills of lading. • Represented the company at major local and international food trade shows.
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Political Canvasser/Field RepresentativeGoco Consulting Sep 2016 - Nov 2016• Surveyed hundreds of potential voters face-to-face in the Orange County area by walking door-to-door through dozens of neighborhoods.• Recorded hundreds of potential voter information using specific data collecting software.• Initiated politically centered conversations regarding the 2016 election with hundreds of registered voters of various backgrounds.
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Student Volunteer/Missional LeaderCru Sep 2012 - Jun 2016Orlando, Fl, Us• Trained a small team to organize weekly meetings for 100-200 students on campus. • Attended club fairs then promoted Cru to hundreds of students by providing any relevant information.• Directed weekly study groups and facilitated discussions between 5 to 10 students.• Coordinated with a small team to organize an overnight, weekend event at a campground that catered to 200+ students. -
General Election Student PollworkerLa County Registrar Nov 2010 - Nov 2010• Assisted in the set up and take down of voting booths and tables, as well as communicating with hundreds of voters by answering questions, directing them to designated voting booths, and receiving their ballots.
Marco Santos Skills
Marco Santos Education Details
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Flatiron SchoolData Science -
California State Polytechnic University-PomonaBusiness Administration - Technology And Operations Management
Frequently Asked Questions about Marco Santos
What company does Marco Santos work for?
Marco Santos works for Gia (Gemological Institute Of America)
What is Marco Santos's role at the current company?
Marco Santos's current role is Data Scientist.
What schools did Marco Santos attend?
Marco Santos attended Flatiron School, California State Polytechnic University-Pomona.
What skills is Marco Santos known for?
Marco Santos has skills like Microsoft Excel, Sap Erp, Quickbooks, Microsoft Office, Microsoft Word, Microsoft Powerpoint, Stock Market Analysis, Leadership, Time Management, Social Media, Technical Analysis, Electronic Trading.
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