Lauren Taylor | Freelancer Resume

Lauren Taylor 3100 Carlisle Street || Dallas, Texas 75204 || (832)--|| LinkedIn: www.linkedin.com/in/laurentaylor15 GitHub: https://github.com/lulu150003 SUMMARY Motivated, diligent data analyst with 3 years of experience in recording, interpreting, and analyzing data in a fast-paced environment. Specialized in data analysis, quality assurance, operations analyst, project management, data collections and purging, process improvement, and troubleshooting. A proven track record of achieving goals, interpreting and summarizing complex data to drive actionable plans, adding long-term value to a business. Excels at utilizing processes, algorithms, and systems to extract knowledge and insights from data in various forms to ensure project completion. EXPERIENCE NYC DATA SCIENCE ACADEMY, New York, NY Student, Mar 2018 – Mar 2019 Completed an intensive yearlong boot camp in which the curriculum included essential skills in data science and an introduction to machine learning with Python and R. Skills learned included data cleaning, munging, and exploratory data analysis along with classification, regression problems and stacking. Also built advanced algorithms using unsupervised and supervised learning. Deep learning topics included Convolutional Neural Network, an introduction to TensorFlow, and Time Series Analysis. Learned database management tools such as Microsoft SQL Server, MySQL, AWS, Hadoop, Hive, Spark Learned advanced coding languages such as: R, Python, and SQL Machine learning in R and Python: linear and logistic regression; generalized linear models, feature engineering; dimension reduction; Classification and support vector machines, K-Nearest Neighbors, Naïve Bayes, random forests, Classification and regression trees (CART), Lasso & Ridge Regression Amazon Web Services for Data Science Data Visualization in R (googlevis, Shiny) Worked on projects with different languages and tools such as: -Web Scraping, APIs and Content Extraction (Beautiful Soup, R, etc.) -Data Visualization -Shiny Web Application -Machine Learning (Python) Project Links: http://nycdatascience.com/blog/student-works/uber-lyft-maximization:-more-money-for-the-time/ http://nycdatascience.com/blog/student-works/web-scraping/web-scraping-linkedin:-exploring-the-background-of-a-data-scientist/ https://nycdatascience.com/blog/student-works/forecasting-grocery-store-sales-using-machine-learning/ TRANSCEND SOLUTIONS Data Analysist/Mission Specialist, Jan 2016 – Feb 2018 Led a production team of to oversee operations and quality assurance through development, QA, and implementation life cycle by managing timelines, collaborating in creation of development and test plans/cases, solving complex issues. Used Microsoft SQL Server to run advanced SQL queries to generate reports for business needs and goal achievement. implemented data analytics, and other strategies to optimize statistical efficiency and quality. Worked with vendors and customers to develop and deploy solution. Created QA guidelines and procedures for shipments upon inspections along with incoming raw materials Inspected all incoming materials per industry standards and thorough inspects on all completed products Inventory management with daily counts entered into Excel and used for analysis Used Excel Pivot tables and V-look-ups to automatically categorize and display summarized results in desired manner Worked as logistics coordinator/analyst for both incoming and outgoing shipments Saved and used data from different shipment methods and companies to compare and analyze best business route Created and updated manufacturing order sheets for step by step of product creation per to customer’s needs Built strong relationships with vendors and purchasing agents in which data was stored for future analysis and raw material comparison Worked as customer advocate in which I received orders and executed them to manufacture process and solved problematic trends from product BENCHMARK INSURANCE Administrative Assistant, Aug 2013 - Dec 2015 Addressed problematic trends by researching multiple data entries. Worked as head assistant/secretary and made daily follow ups with current and potential clients. Used Microsoft excel to create daily reports and save for future analyzing. Organized and maintained several client files. Executed any employer requests in a timely manner. Organized day to day schedules and meetings with potential clients Assisted with receptionist duties, file organization, and research development activities Applied coursework and acquired skills to accurately enter numerical data into databases and manage client productivity Used Excel daily for data entry purposes and used for analyzing Compiled quarterly budget reports, financial spreadsheets, and organizational charts Efficiently completed tasks such as organizing claims, making files, and preparing correspondence reports EDUCATION NYC DATA SCIENCE ACADEMY, New York City, New York, Data Science Certification Program, 2019 SAM HOUSTON STATE UNIVERSITY, Huntsville, Texas, BBA Business Administration, 2015 LONE STAR COLLEGE, Montgomery, Texas, AA Associate of Applied Arts, 2013 CERTIFICATIONS NYC Data Science Academy Completion for Data Science PROFESSIONAL DEVELOPMENT Data Science Bootcamp Business Analysis Operations Analyst Quality Assurance - QA Team Leadership Logistics Analyst Inventory Analyst Link to R Shiny App: https://laurentaylor.shinyapps.io/RShinyProject/ COMPUTER SKILLS Power BI, Microsoft SQL Server, Python, R, Data Science, Hadoop, Spark, Data visualization using Python and R, Microsoft Office, PowerPoint, Excel, Microsoft Word, Microsoft Outlook, WordPress, SQL, Web-Scraping, R Shiny, Machine Learning