Data Manager

Andrea Osika

602-***-**** *********@*****.*** GitHub Blog Linked-In

Operations Analyst / Data Scientist who is passionate about e-learning, wellness, data, and helping others with a career-long dedication to process development. Experienced in back-end engineering (Python, SQL), research, KPI Development, statistical analysis, machine learning (sci-kit-learn, Pandas/NumPy), and deep learning (Keras). Highly skilled in extracting insight from complex information to engage stakeholders in productive dialogue that drives sound business outcomes. TECHNICAL PROJECTS

Hypothesis Testing - GitHub

Drew upon SQL and logistic regression techniques to derive business intelligence

+ Queried SQL database to obtain relevant data for each test

+ Answered regression and classification questions of commercial interest (% accuracy vs.% baseline) Hyper-Imbalanced Classification and Analysis on large dataset - GitHub Random Forest Classification to identify primary contributing factors for contracting COVID-19

+ Utilized open-source dataset containing 619K samples with 43 features with .13% in the target class.

+ Achieved overall accuracy average of 97% and weighted recall of 97%, increased recall by >60% in target class Deep Learning using NLP using Recurrent Neural Networks for multi-label classification - GitHub Used an RNN to identify toxic language in online conversation

+ Trained a wide range of shallow- and deep-learning models, relating exploratory statistics to resulting feature importance

+ Focal Loss was implemented to address classes that contained baseline rates of >10%, to realize an increase of 29% recall Support Vector Classification and Clustering / Segmentation using KMeans and LDA - GitHub NLP using lSVC for sentiment analysis, business intelligence segmentation via app-reviews (85% & 92% recall, 41% & 31% baseline)

+ NLP and linear Support Vector Classification for classifying positive and negative sentiment from app reviews

+ Optimized subsets using Latent Dirichlet Allocation (LDA) to inform best and worst practices TECHNICAL SKILLS

Python, SQL, Linear & Logistic Regression, Classification, Hypothesis-Testing, Machine Learning, NLP, neural nets, sci-kit- learn, NumPy, Pandas, Keras, visualization (Maplotlib, Tableau, Seaborn, Plotly) EMPLOYMENT HISTORY

Cisco Systems, Corporate Social Responsibility, Phoenix, AZ Program Specialist, Education Investments, Jan 2011 - Present

+ Grantmaking specializing in analysis, KPI/Metric development, research, reporting, and presentation skills using quarterly and historical data to inform portfolio performance and investment strategies to cross-functional teams. (portfolio of $2.6M) Aries Technology, Inc, Tempe, AZ

Director of Operations, Consultant, Jan 2001 - Jul 2017

+ Managed projects, contracts, vendor relations for 350 head workforce and $10M annual budget.

+ Provided consulting / contractor services for operations support of ed-tech initiatives.

+ Developed systems for billing, and analytics reporting, supported HR and international sales team. Cisco Systems, Phoenix, AZ

Project Manager, Networking Academy Jan 2001 - Jun 2002 Operations and budget management directly reporting to the Director and Co-Founder in infant stage to scale to serve over 7million students globally EDUCATION

Flatiron School, New York, NY - 2020

+ Data Science Immersive Program

Colorado State University, Ft. Collins, CO - 1995

+ Bachelor of Arts in Soc. Science (Psychology, Sociology), Minor Spanish

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