Data Analyst Resume Arlington, VA - Hire IT People

SUMMARY

4+ years of experience in analyzing with large data sets, including requirements gathering, risk analysis, data visualization, reporting on various projects implementing different programming languages like R, PYTHON and other tools.
Experience in analyzing, manipulating large set of data and presenting it to internal/external clients.
Technical expertise in ETL tools, Data Integration, Data profiling, Data Cleansing.
Interacting with stakeholders, gathering requirements and assigning priorities to each task.
Experience in creating reports from raw data to readable format for higher management, internal and external clients.
Proficient in Microsoft applications: Word, Excel (Pivot tables, v - look up, graphs), PowerPoint.
Extensive experience in developing different Statistical Machine Learning, Data Mining solutions to various business problems and generatingdatavisualizations using R, Python.

TECHNICAL SKILLS

Operating Systems: Windows, Mac, Linux

Programming Languages: R, PYTHON, Java, SQL, C, C++

Web: HTML, CSS

PROFESSIONAL EXPERIENCE

Confidential, Arlington, VA

Data Analyst

Responsibilities:

Utilized machine learning techniques for predictions & forecasting based on the risk trends.
Managed Data quality & integrity using skills in Databases & ETL.
Monitored and maintained high levels of data analytic quality, accuracy, and process consistency.
Assisted risk management in data modeling.
Developed R scripts to automatedatasampling process. Ensured thedataintegrity by checking for duplication, completeness, accuracy, and validity.
Performed extensive data cleaningusing R and Python to make the data consistent.
Application of various machine learning algorithms and statistical modelling - decision tree, logistic regression to identify key features using various packages in R.
Structured business problems and gathered/documented business requirements for developing analytical solutions. Communicated analysis results with senior managers.

Environment: SQL, R, Python,MS office, MS Excel.

Confidential, Alpharetta, GA

Data Analyst

Responsibilities:

Propose new quantitative analysis on various projects on customer retention analysis, promotion program evaluation and anomaly detection, corporate with client managers and prepare the slides.
Research and test statistical models and machine learning to analyze and predict customers behaviors and visualize the results, implement in R code.
Connected to SQL databases such as internal CRM or ERP systems, loaded data from Excel or log files, scraped data from the web, or extracted data from a variety of other different sources, as and when required.
Performed data cleaning, exploration implementing R and Python.
Reporting designs based on business specific problems, Reporting Implementation with ggplot packages in R.
Profiling based on content access reports, event trigger reports and navigation reports using R. Profiles are then used for target marketing and segmentation.
Performed data visualization implementing ggplot2 package in R.

Environment: R, R Studio (ggplot2)

Confidential, Alpharetta, GA

Data Analyst

Responsibilities:

Performed tests on import programs, analyze results, and modify programs.
Provided daily progress reports and holds progress meetings.
Revenue predictions for several pricing and marketing strategies were provided for future events.
Developed rich graphics and Data visualization using ggplot package in R on large structured data to find many insights and for a better understanding of the parameters in order to efficiently analyze the aspects of given datasets.
Sorting, printing and summarizing the data and modifying and combining datasets by different packages.
Perform data manipulation,data preparation,normalization and predictive modeling. Improved efficiency and accuracy by evaluating the model in Python by doing regression analysis.
Verified the accuracy and completeness of work in order to deliver quality solutions that improve of operations.

Environment: Python, R