Maya Bunkar

• This project was focused on customer clustering based on ML and statistical modeling efforts including building predictive models and generating data products to support customer classification and segmentation
• Develop a Estimation model for various product & services bundled offering to optimize and predict the gross margin
• Built sales model for various product and services bundled offering
• Developed predictive causal model using annual failure rate and standard cost basis for the new bundled services.
• Design and develop analytics, machine learning models, and visualizations that drive performance and provide insights, from prototyping to production deployment and product recommendation and allocation planning.
• Worked with the sales and Marketing team for Partner and collaborated with a cross-functional team to frame and answer important data questions.
• Prototyping and experimenting ML algorithms and integrating into production systems for different business needs.
• Application Machine Learning algorithms with Spark Mlib standalone and R/Python .
• Worked on Multiple datasets containing 2billion values which are structured and unstructured data about web applications usage and online customer surveys
• Design, built and deployed a set of python modeling APIs for customer analytics, which integrate multiple machine learning techniques for various user behavior prediction
• And support multiple marketing segmentation programs
• Segmented the customers based on demographics using K-means Clustering
• Used classification techniques including Random Forest and Logistic Regression to quantify the likelihood of each user referring
• Designed and implemented end-to-end systems for Data Analytics and Automation, integrating custom visualization tools using R, Tableau,Power BI

Environment: MS SQL Server, R/R studio, Python, Spark frame work,Redshift, MS Excel, Tableau, T-SQL, ETL,RNN, LSTM MS Access, XML, MS office 2007, Outlook.

• Provided comprehensive analysis and recommend solutions to address complex business problems and issues using data from internal and external sources and applied advanced analytical methods to assess factors impacting growth and profitability across product and service offerings.
• Developed quarterly roadmaps based on impact, effort and test coordinations, working with stakeholders to achieve short-term and long-term goals.
• Established frameworks for running [Type] and [Type] daily reports.

• Analyzed SAP transactions to build logical business intelligence model for real-time reporting needs.
• Identified and documented detailed business rules and use cases based on requirements analysis.
• Participated in requirements meetings and data mapping sessions to understand business needs.
• Recommended data standardization and usage for protection of data integrity.
• Designed and developed schema data models.