Rini Bhargava
**** * ******** **, ******** ***** 607-***-**** ************@*****.***
Summary
Graduate Business Analytics student with over three years of experience in health care as well as strong communication skills seeking a Full-time position where background in data analytics can drive innovative decision making. EAD authorized. Education
W. P. Carey School of Business at Arizona State University, Tempe, AZ May 2017 Master of Science in Business Analytics (MSBA),
Ithaca College –Ithaca, NY, Masters in Exercise Physiology May 2012 Skills
Data Management
Data Mining
Data Visualization
Decision Analysis
Statistical Modeling
Enterprise Data Modeling
Optimization Modeling
Predictive Analytics
Cost Analysis
Business Intelligence
Software: SAS, Hadoop, Azure, Advance Excel,
@RISK, Palisades Decision Suite, R, Python, SAS
Enterprise, SPSS, MySQL.
Financial Modeling and Forecasting
Projects
Laptop battery comparison
Conducted a DOE experiment to determine if battery drain was affected by age of battery, brightness of laptop and resolution of the video. ANOVA table for the experiment was analyzed using a Central Composite Design. Statistical analysis was done using reports generated from Minitab. Low birthweight analysis
Using logistic regression determining the causes that cause low birth weight in infants. Using this method we predicted a binary outcome to estimate the probabilities.
Kaggle projects
Using data mining tools conducted predictive and descriptive analytics. By using different algorithms worked on Santander Customer satisfaction, Animal Shelter, Home site Conversion Quote cases.
Helped to learn how to improve a model. Learning how to deal with large test errors, improving the AUC. Baseball analytics
This project was to create dashboards using Tableau Dashboard. Using the dataset advanced chart types, visualization were created. Top birth countries, top 10 most valuable player award winners, average age at debut in major league were analyzed using data.
Study effects of betaine on Delayed Onset Muscle Soreness
Conducted randomized cross over study to see effect of betaine on Delayed Onset Muscle Soreness. For the study a repeated measure of ANOVA was done. The means of peak torque was observed to see if there were any significant differences.
Releveant Coursework
Analytical Decision Making tools: Knowledge of quantitative modeling tools and methods to solve problems in supply chains, predicting demands, capacity of a manufacturing line and approaches to manage inventory. Knowledge of model situations where ambiguity is a factor. These include decision trees, simulation, and stochastic optimization to solve business problems.
Data- Driven Quality Management: Understanding of modern quality management approaches – Six Sigma and Design and DMAIC, the implementation cycle used to drive Six Sigma Projects.
Data Mining: Experience with Azure ML that assists with predictive analytics. Explores how to support informed decision making and extract predictive analytics and patterns from nonnumeric data by leveraging tools and techniques to analyze unstructured data.
Business Analytics Strategy: Evaluates how to strategically align, plan for and direct investments in, and governance of, processes for continuous renewal of analytic deployments in business.
Marketing Analytics: Focuses on developing analytical methods and applying statistical and mathematical tools to predict consumer behavior. Introduces formal models to analyze how and when customers make product purchase decisions, configure new products, develop market segments, forecast market share, and determine optimal pricing strategies.