Misty Collins

WORK HISTORY

EDUCATION

ABOUT MISTY COLLINS

Data Science Experience: Machine Learning Supervised /Unsupervised Algorithms, Decision Tree: Classification Regression Tree (Cart), Iteractor Dichotomizer (ID3) Ensemble: Boosting, AdaBoost, Bagging, Random Forest, Gradient Boosting Machine (GBM) Results: • Conducted statistical analysis of data sets to show trends and patterns • Developed a recommendation system for a client using collaborative filtering techniques, resulting in a 20% increase in customer engagement • Built predictive model to identify fraudulent transactions in real-time, reducing fraudulent charges by 30% • Communicated insights and recommendations to non-technical stakeholders through data visualizations and presentations Projects: • Developed a sentiment analysis system for Twitter data using natural language processing techniques and achieved an accuracy of 85% • Built recommendation engine for a movie rental service using collaborative filtering and content-based filtering techniques, resulting in a 25% increase in user engagement • Created a convolutional neural network for classifying images of cats and dogs with an accuracy of 90% Data Engineering: Accelerators, Python and DS Libraries: Pandas, Numpy, Keras, Tensor Anaconda, R, AWS, Azure, Google cloud compute and storage Data Explore, cleaning, feature creations, model development, splitting, training and testing models DBA related experience: T-SQL,PL/SQL, in-memory, tabular db, DDL, DML, DSL, ad hoc scripts, tools for database consolidations/migrations, replication, Integration catalog, Amazon Web Services Database Migrations, VM deployments, account provisioning, Wipro change management, Security Access Control, Configuration policies, Technical Demos, Microsoft system planning and license evaluations. OS/Applications: MySQL,PostgreSQL 11, 12, pgAdmin on RHEL9, RHEL8, Microsoft SQL Server (2019,2017, 2016,2014,2012,2008,2005), SSDT using Visual Studio extensions SSAS Tabular, SSIS, SSRS), Oracle Virtual Box, RMAN, SQL*Plus, Oracle 11c, 12g, AWS Virtual Machines, cli tools: MSDOS,prompt, Bash, Vi, DCL, Azure CLI, GCP, GitHub: compute engine VMs, AWS Braket, IonQ Hardware Experience: Experience building computers w/PCPartspicker selections to completion, OS installations, troubleshooting Windows Servers, PC and Linux Distros: Manjaro, Ubuntu, Red Hat, Kali System/Configuration Troubleshooting Experience: Window Server 2008 R2, 2012 R2, disk partitioning, event logs, patching/updates, application configurations for Data access and pipeline such as APIs and open database connections, driver installations