Data Scientist/Spark Engineer Resume Grand Rapids, MI - Hire IT People

SUMMARY

A data geek wif 5 years of progressive experience in Data Analytics, Visualization and Machine Learning. Excellent capability in collaboration, quick learning and adaptation.
Experience in integratingdata, profiling, validating and datacleansing/ transformation anddatavisualization using R.
In depth knowledge and hands on experience of Big Data.
Experience in manipulating the large data sets wif R packages.
Intensive hands - on Boot camp on Data Analytics course spanning from Statistics to Programming including data engineering, data visualization, machine learning and programming in R, SQL.
Experience in Descriptive Analysis Problems like Frequent pattern Mining, Clustering, Outlier Detection.
Good exposure on Python and libraries like Numpy, Pandas, Matplotlib, Sci-Kit learn, Scipy.
Good Exposure in deep learning wif Tensor flow in python.
Good knowledge in Tableau for interactive data visualizations.
Good Understanding in NoSQL databases like MongoDB.
Experience and Knowledge in developing software using Java.
Good exposure in creating pivot tables and charts in Excel.
Good Knowledge on ETL tools like Informatica.

TECHNICAL SKILLS

Technical Skills: Machine Learning and Data Mining, Statistics

Programming Skills: R, Python, SQL, Hive, Hadoop

Data Sources: HDFS, Oracle, MySQL, MongoDB, ExcelData Visualization: R, Python, Tableau

Data Exploration: R, Python

Repository: GitHub

Operating Systems: Windows, Linux

PROFESSIONAL EXPERIENCE

Confidential

Data Scientist/Spark Engineer

Responsibilities:

Extracted the data from hive tables by writing efficient Hive queries
Developed signals using Machine learning algorithms
Performed Dimensionality reduction using near zero variance and correlation techniques
Build a Linear Regression Model to predict the Sector Failure Rate of a die at a given confidence level
Used to work wif R for data manipulation of large datasets
Implemented different models like ANOVA, Logistic Regression, Random Forest and Gradient-Boost Trees to predict whether a given data will pass or fail the test

Confidential

Data scientist

Responsibilities:

As part of an enhancement, added an additional parameter to the URL to redirect the user to the content based on the value of the added parameter
Used Hive data warehouse tool to analyze the data in HDFS and developed Hive queries
Used Pandas and Numpy libraries for data analysis and process them in HDFS
Developed Simple to complex Map/reduce Jobs using Hive
Experienced in using Machine Learning Algorithms APIs to derive useful insights
Responsible for creating Hive tables, loading the structured data resulted from MapReduce jobs into the tables and writing Hive queries to further analyze the data
Worked on Spark architecture and implementation in Java/Scala

Environment: Java, Hive, MapReduce, RDBMS, Spark, R, Scala, Python

Confidential, Grand Rapids, MI

Business Intelligence Analyst

Responsibilities:

Prepared Dashboards using calculations, parameters, calculated fields, groups, sets and hierarchies in Tableau.
Strong experience in Data Analysis, Data Migration, Data Cleansing, Transformation, Integration, Data using SQL queries.
Performed data quality analysis wif web tool named “REDCap” using R, SPSS and Excel
Transferred big data between IT department and research department, solved technical problems of the software’s and the database, using SQL queries and commands
Used data analysis tools and techniques such as SharePoint, Microsoft Access, MS Word, MS Excel (V-look, join, grouping, match, index, pivot tables), MS PowerPoint, MSU Outlook, Google Apps
Resolved and cleared IT tickets
Assisted in designing and implementing IT procedures, project management procedures and activities
Served as a project manager for own projects
Created master password list using Lastpass

Confidential, Grand Rapids, MI

Research and Teaching Assistant

Responsibilities:

Developed nursing department’s website and conducted research literature
Prepared instructions for bioinformatics labs for undergraduate and graduate students
Conducted online competitive research on community colleges and developed strategic plans for KCON