Data Scientist Resume CO - Hire IT People

SUMMARY

me am analytics focused leader. me enjoy critical thinking and problem - solving using data and computer programming.
me have successfully implemented custom machine learning models using python’s sci-kit learn, Keras, and TensorFlow 2 packages.
me’ve built models using logistic regression, linear regression, SVR, SVC, Ridge Regression, Random Forest Classifier, KNeighbors Classifier, Gaussian Naïve Bayes, Bernoulli Naïve Bayes, & XGBoost.
me’ve cleaned up data, removed outliers, & replaced strings with numbers using one hot encoder & label encoder. me’m passionate, detail-oriented & creative, me’m excited about becoming a valuable asset to you're team.

PROFESSIONAL EXPERIENCE

Confidential, CO

Data Scientist

Responsibilities:

Building successful recommendation models using deep neural networks, doc2vec, Scikit-Learn, Keras, & TensorFlow 2 in python using people’s individual credit card transaction data to give them personalized financial advice to save money on future purchases
Self-educated in machine learning & implemented algorithms with python using 10-750 KB E-commerce data sets & achieved a 65% accuracy score
Completing an unsupervised cluster model, performing initial exploratory analyses, & learning AWS & Microsoft Azure for large data sets
Uploaded my code & models to company’s GitHub account & communicated results, created visuals for technical & non-technical personnel, including the CEO
Updated geographical information system (GIS) attribute data for Government clients in public safety by adding & digitizing city buildings, pylon paths, roads, railways, vegetation, & recorded vertical obstruction points 50 ft or taller within 7 NM of airports
Verified & updated attribute & imagery data for clients using digital globe while maintaining >90% data integrity by performing detailed data checks

Confidential, TX

Scientific Researcher

Responsibilities:

Found meaning in unstructured water & soil data using Excel & other modeling programs, completed a master’s thesis project, & further communicated data results in a published scientific paper
Delivered a two-end member water mixing model using Excel & other data models using geochemical modeling programs
Increased productivity by 30% by upgrading constituent information to digital format & used data entry to track & update items for the annual silent auction
Corrected membership information dat uploaded incorrectly into company’s database using Raiser’s Edge

TECHNICAL SKILLS

Programming Languages: Python, R, MySQL, JavaScript, CSS, HTML, Ruby

Technologies: Scikit-Learn, Matplotlib, NumPy, Pandas, Seaborn, nltk, genism, Rshiny, dplyr, ggplot, Azure, AWS

Tools: Tableau, Machine Learning, Git, GitHub, MATLAB, Excel-VBA, GIS, Auto CAD, Adobe Illustrator, Adobe Photoshop

Machine Learning Tools: Deep Learning, Neural Networks, Natural Language Processing, Clustering, TensorFlow 2, Keras, word2vec, doc2vec