Pros
• Develop an estimation model for various product and 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 sales and Marketing team for Partner and collaborate with a cross-functional team to frame and answer important data questions.
• prototyping and experimenting ML algorithms and integrating into production system 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.
Cons
• Designed and implemented end-to-end systems for Data Analytics and Automation, integrating custom visualization tools using R, Tableau, Power BI.
