Data Analyst Resume
Houston, TexaS
SUMMARY:
- A Results - driven, self-motivated data analyst with an array of common data science tools on large data sets, in large scale implementation
- +5 years of hands-on experience in developing and implementing decision management & monitoring systems at strategic, tactical, and operational levels
- +4 years of development/testing experiences on complex database objects, stored procedures, functions
- +2 years’ experience in validation, translating business prototypes with unstructured data to metrics supported by visualization
- In-depth knowledge of Python, Java, PL/SQL, SAS, R, No SQL Databases, ETL tools
- Utilized large amounts of data to build prototypes in supply chain, customer analytics, care acts
TECHNICAL SKILLS:
Database manipulation: PL/SQL, No SQL, MongoDB, SQL Server, Couch.DB
Development Programming: Python, C#, JavaScript, Java, R, Eclipse, GitHub
Web Frameworks: Bootstrap, MVC, Flask
Data/pattern Mining: Java/SAS/python Libraries for Data Mining Lucene, Solr, Mahout
Macro and CMS Tools: Visual Basic, Excel macros, AEM
Big data analysis / Statistical programming: using Python, SAS, R; Rapid miner, Arena
Data visualization & analytics: Qlikeview, Power Map, Excel, Pivot Tables, Tableau, R, SAS
Python Libraries: Numpy, Scipy, Matplotlib,, MDP, Mlpy, NetworkX, Pandas, Scikits-learn
PROFESSIONAL EXPERIENCE:
Confidential, Houston, Texas
Data Analyst
Responsibilities:
- Participated in designing and developing enterprise healthcare data flow system
- Participated in customer service API model with implementation for new business initiatives
- Worked with project stakeholders and the software team to develop data analysis and machine learning algorithms to classify unstructured data to be tracked by specialists.
- Delivered data views for data wrangling and classification process, automated for overall quality of care within practice, reports prepared for CMS system and via GitHub
- Used data analysis skills to query from specialists’ data warehouse in REST API
- Aggregated with reporting tools, performed server data integration using JavaScript (node.js)/Python/SQL
Data Analyst, Research assistant
Responsibilities:
- Designed a REST API for recommending similar safety incidents, events, incidents, safety actions
- Created various SQL/SAS stored procedures to mine internal/external sources for available hazards on unsupervised data inputs
- Developed customer view Reports (Ad Hoc Reports, Frequency Reports, Summary Reports) using python
- Developed dashboards (Java, Python, SQL) on safety-tagged documents of incidents and cost tables by time series
- Evaluated pulled results, relationships between the variables, hidden tendencies with Logistic Regression
- Implemented Predictive modeling in R (methods: decision tree, Logistic Regression, K-means)
Business Analyst
Responsibilities:
- Developed and implemented a comprehensive decision support system for manufacturing process and supply chain
- Developed varied dynamic business reports for revenue & cost; pull down data to be analyzed by SQL, Macros, VB
- Flowed up to senior management for major business decisions, to improve business reporting
- Developed by SAS to load data to Qlike view over a large imported data, operated shipyard
- Developed rule-based analytic using python; provided filter recommendation for statues, bottleneck tasks
- Collaborated to upgrade price forecasting model and integrated it with after-assembly Data in SQL
- Deployed on revenue lost due to absences, Increased agent compliance: 62% to 94.28%
- Predicted purchasing/processes by classifiers; Bayes, SVM, Logistic Regression
Data analyst
Responsibilities:
- Performed analysis on Lab tests activities data, Gathered from multiple sources in 10 medical centers
- Used various query& reporting tools: such as Python/SQL, Hadoop for Pre-Defined Business Functions
- Wrote flexible SAS and SQL scripts that can be easily customized and used for any type of treatment events data
- Made sure all transactions types were correct by tests for 100k medical events
- Participated in designing, debugging business analytic API on consultations to automate manual processes
- Tracked applied consultation by various charts, tables of users, costs, devices, providers base on geography/services for data analysis, created various analytical dashboards for providers’ evaluation
