Design and Software Engineer (Data Analyst) Resume

TECHNICAL SKILLS

Languages: Python (numpy, matplotlib, pandas, scikit - learn, beautiful soup), SAS, R, SQL, MySQL, Pig, Hive, Shell Script

Tools: & Databases: Tableau, Jupyter Notebook, RStudio, Power BI, QlikView, ETL, Hadoop HDFS, RapidMiner, SAS JMP, Git, SQL Server Management Studio, Proficient in MS Excel (including PivotTables, Macro and VLOOKUP), MS Visio, MS Office, Visual Studio, AxureRP, Google Analytics and Adwords, Matlab, Microsoft SQL Server(SSRS, SSIS, SSAS), MySQL

Statistical Concepts & Methodology Used: Regression analysis (Linear, Logistic, Stepwise, Lasso, Ridge), Decision tree, Random Forest, Neural Networks, Naive Bayes, Agile - Scrum

PROFESSIONAL EXPERIENCE

Confidential

Design and Software Engineer (Data Analyst)

Responsibilities:

Performed web data analysis and collected the data using google analytics
Performed ad-hoc research and analysis to help drive marketing and website development discussions, new initiative experimentation, and promotion analysis
Developed Python scripts to accept, parse, validate and push meaningful data
Successfully interpreted data to identify key metrics and drew conclusions
Developed prediction models for operational excellence, customer satisfaction and increased the sales by 24%
Utilized Power BI Dashboards and Portfolios for managing budgets, changes, collaborations, and resources
Analyzed data patterns, historical trends, forecasted data reports and deviations for referential integrity
Integrated Tableau with google analytics to track and report websites traffic users behavior and content value
Built a forecasting model to estimate the open and close rates of the stock prices for a period
Interpreted the result using neural networks and achieved 97.6% efficiency to estimate the open and close rates of the stock prices by SAS JMP and Excel

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