Software Engineer, Data Science Resume

SUMMARY:

I’m a self - motivated driven person who enjoys continuous learning by exploring data, team brainstorming and researching innovative solutions. Data Wrangling, Mining, Visualization & Predictions are my key specializations.

LANGUAGES AND TECHNOLOGIES:

R, Python, SAS, SQL
Tableau, MicroStrategy, Arcadia, Trifacta
Apache Spark, Hadoop, Hive
S3, EC2, Redshift, Amazon ML, Lambda, Glue
Git

EMPLOYMENT:

Software Engineer, Data Science

Confidential

Responsibilities:

Designed, modeled, validated and tested data models against various large qualitative and quantitative health care datasets using SQL, R, and SAS to analyze compliance indicators.
Data Engineering of monthly, quarterly and yearly data using Hadoop Distributed File System (HDFS) as data source, Hive to query, Trifacta for Data Wrangling and Arcadia for reporting.
Implemented Machine Learning algorithms like Decision Trees, Naïve Bayes, Support Vector Machines, Regression, Clustering and k-means to analyze claims data sets on Spark clusters.
Developed rich interactive graphs and data visualizations of large structured data using Tableau.
Developed an unsupervised learning model based on TensorFlow framework to identify Improper Payments in Medicare data sets utilizing the scalability offered by AWS EMR, S3, EC2 and coded in Python.
Provided business intelligent solutions and dashboards using MicroStrategy as per clients’ needs.
Automated manual procedure to generate reports and email recipients using Python scripts that saved a colleague 40hrs per month.
Developed technical documentation and contributed to proposals for multiple government contracts in areas of Cloud Architecture, Data Lake, Lift & Shift Operations, Data Analysis, Artificial Intelligence, Recommender Systems and Data Governance.
Served as the Point of Contact and Manager for a sub-contracting team.

Statistical & Research Analyst

Confidential

Responsibilities:

Helped implement a hybrid recommender system that aided users to develop and explore their ps.
Analyzed user behavior logs in R and used structural equation modeling to present the results.
Translated contracting stakeholders’ requirements into tangible deliverables such as functional specifications, use cases, user stories, and workflow diagrams.

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