Senior Data Analyst Resume

TECHNICAL SKILLS

Python (sklearn, pandas, matplotlib) | R (ggplot2, dplyr, tidyr) | SQL | Java
NLTK | spaCy | Cloudera Hadoop/Hive | Tableau | Spark | SQLite | Linux/Cygwin | Jupyter Notebooks

PROFESSIONAL EXPERIENCE

Senior Data Analyst

Confidential

Responsibilities:

Ran SQL analyses (MySQL internal database) daily in order to answer ad hoc inquiries on hospital resources, performance, staff, etc. and to create research studies which informed future decisions.
Prepared statistical and narrative reports and visualizations, primarily using Tableau dashboard, which were shared or presented to upper management/stakeholders.
Managed project to summarize and transfer key information offline - to-online, in order to allow general staff to easily access and understand data relevant to their work.
Compiled and submitted data for federal-and state-mandated reporting and grant reporting.

Jr. Data Scientist

Confidential

Responsibilities:

Worked with lead data scientist on project to identify key behavioral patterns in user social media data and build core backend models for a health related risk evaluation system.
Quickly prototyped and iterated through several machine learning models/algorithms using the sklearn library (SVMs, Random Forests, Boosted Trees, etc.).
Balancing feature engineering with domain knowledge to improve model performance, ROC-AUC metric.
Carefully cleaned and preprocessed over OOM 10 7 user's posts using Python's pandas library as well as Hadoop on AWS.

Project Manager - Data Analysis

Confidential

Responsibilities:

Created analysis pipelines (using R, Microsoft Excel, and Microsoft Access) to discover statistically significant demographic trends across social media profiles (e.g. Twitter) and made recommendations for platform improvement.
Led development, planning, and completion of Hashtag evaluation, Brands, and Account Classification products that became essential to analysis platform.
Analysis results were used to assist clients in targeting marketing campaigns to a specific demographic.
Ran follow-up A/B tests on campaign conversion or click-thru rate changes.

Language Specialist

Confidential

Responsibilities:

Data collection and annotation for use in pre-processing, training, and testing early Cortana Text-to-Speech (TTS) engine.
Used spectrogram analysis, audio processing, and other tools to find and correct speech defects in TTS engine.
Worked with engineers to enhance voice accuracy and training text normalization.