Data Analyst and Statistical Modeler Resume Marietta, GA, USA - Hire IT People

SUMMARY:

To apply my analytical skills and experience in statistical analysis and modeling, also make an impact through the decision support of an organization.

TECHNICAL SKILLS:

Data Analytics: Predictive Analytics, Machine Learning, Statistical Methods, Data Mining, Mathematical Modeling and Optimization

Programming Languages/Tools: SAS 9, R/Rstudio, My SQL, Matlab, SPSS

Applications: Excel, PowerPoint, Word, MS Project

Statistical Methods: Bayesian Data Analysis, Regression, Non - parametric and Parametric Statistical Tests, Time Series, Longitudinal Data Analysis, Resampling Methods, Survival Analysis

Machine Learning: Random Forest, Decision Trees, SVM, Logistic Regression, Neural Network, Na ve Bayes Classification

Business Intelligence (BI) Tools: Tableau, WEKA, Microsoft Excel BI Tools (Pivot Chart and tables, VLOOKUP)

s: R programming, Practical Machine Learning

PROFESSIONAL EXPERIENCE:

Data Analyst and Statistical Modeler

Confidential, Marietta, GA, USA

Responsibilities:

Worked with IT, marketing and product management to determine potential customer early cancellation. Developed a predictive statistical model by using model-based and algorithmic ML techniques (Logistic Regression, Random Forest, and Decision Tree). The outcome resulted in the identification of potential early cancellation clients. Company leadership and the marketing team developed action plans prior to cancellation to support these clients leading to increased sales and revenue.
Worked with DB developers to determine what additional modules are needed to be developed for the CRM software due to accurate data quality and business analysis purposes.
Created monthly dashboards and reports to monitor sales representatives’ and software trainer’s productivity. Performed data collection from multiple sources of data by Querying in MySQL, using R and Excel. These reports enabled the marketing manager to evaluate the performance of sales teams.
Designed experiments, tested hypotheses, and applied survival analysis methods to compare different sales approaches based on the percentage of clients staying in a certain amount of time. (Log-rank test and Kaplan-Meier estimator)
Worked with Business analytics and client services team to measure customer satisfaction by connecting different data sets and customer surveys. Developed data visualization and statistical analysis (Text Mining techniques) that resulted in identifying problem areas such as customer abandonment of sessions and developing detailed requirements for improvement in advertising.
Conducted Statistical analysis and semi-annual dashboards of revenue churn and growth to help the CEO for better budget planning.

Graduate Lab Assistant

Confidential, Atlanta, GA, USA

Responsibilities:

Taught elementary statistics and Calculus courses.
Assisted faculties and students to conduct statistical research in the GSU mathematics lab.

Statistician

Confidential

Responsibilities:

Prepared periodic reports and dashboards to monitor sales performance using data visualization tools (Excel pivot charts)
Modified and enhanced existing reports to ensure accuracy of report data.

Data Analyst Assistant

Confidential

Responsibilities:

Provided descriptive analysis and summary of marketing data using ANOVA statistical test.
Assisted senior data analyst with database administration including data transfers, archiving, and mapping data structures.

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Data Analyst And Statistical Modeler Resume

Marietta Ga, UsA

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