Worked independently and collaboratively throughout the complete Marketing analytics project lifecycle including data extraction/preparation, design and implementation of scalable machine learning analysis and solutions, and documentation of results.Analyzed large data sets apply machine learning techniques and develop predictive models, statistical models and developing and enhancing statistical models (Regression, Classification and variable transformation) by leveraging best-in-class modeling techniques.Experience with logistic regression, time series, forecasting, optimization, and other predictive modeling techniques.Conducted studies, rapid plots and using advanced data mining and statistical modelling techniques to build solutions that optimize the quality and performance of data.Demonstrated experience in designing and implementation of Statistical models, Predictive models, enterprise data model, metadata solution and data life cycle management in both RDBMS, Big Data environments. Gather, process, clean, enrich, and integrate structured and unstructured data to build advanced models to turn data into insights; creatively analyze data to understand drivers of historical business performance and build predictive models to inform future business strategies.Worked on customer segmentation using an unsupervised learning technique - clustering.Used Pandas, NumPy, seaborn, GPU Shaders, SciPy, Matplotlib, Scikit-learn, NLTK in Python for developing various machine learning algorithms and utilized machine learning algorithms such as linear regression, multivariate regression, naive Bayes, Random Forests, K-means, & KNN for data analysis.Worked on Text Analytics and Naive Bayes creating word clouds and retrieving data from social networking platforms.Assist with maintenance and management of Marketing SQL database and Snowflake cloud data warehouse.

Worked with the analysis teams and management teams and supported them by providing variables based on their requirements.Responsible for Retrieving data using Custom SQL Queries and perform Analysis enhancements and documentation of the system.Understanding the business problems and analyzing the data by using appropriate Statistical models to generate insights. Conducted extensive exploratory data analysis on large datasets, identifying key patterns and trends that led to actionable business insights.Performed statistical analysis to determine peak and off-peak time periods for ratemaking purposes.Conducted analysis of customer data for the purposes of designing rates. Perform marketing research & analysis to inform customer targeting & segmentation, in addition to longitudinal tracking of Customer Lifetime Value across the enterprise. Utilize visualization solutions to improve the timeliness of data delivery and provide better visibility to decision-makers to help them monitor, measure, or predict how the company is performing.Deeply understand all sources of data across the enterprise, link to data strategy, and continually evolve the ability to measure and track key data points to enable data-driven decisions. Collect and provide quantitative and qualitative information to measure the effectiveness of marketing activities and answer strategic business questions.Collaborated with cross-functional teams to define project objectives, data requirements, and success metrics. Web Scrape multiple websites using Beautiful Soup and python library to extract desired data according to need and an automated workflow to scrape data periodically from the platform. Used Tableau for creating Dashboards, Story Telling,on various dataset-related products, Sales, and accusations.Analyze and discern campaign execution, targeting, and optimization of marketing investment to deliver sales and operating profit across brands.

Developed engineering solutions to product-related issues through problem-solving and root-cause analysis techniques.Successfully launch a new product line of Air handlers that improved system effect by 8%, through hardware changes and manage project schedules related to new and existing product designs.Identified, designed, and implemented internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.Analyzed product performance using the analytical toolCoordinated project work internally with the department and with external stakeholders to ensure on-time completion of projects within budget.

Actively involved in the analysis, definition, design, implementation, and deployment of the project's full Software Development Life Cycle (SDLC).Designed, analyzed, and developed the front-end and back-end Servlets, Bootstrap for designing, HTML5, CSS3,Worked with Java 8 lambda expressions and functional interfaces.Developed the application using Spring Framework, and Collection Framework.Involved in using Core java concepts - Collections, Exception Handling, Multi-Threading, Serialization.Working with EDI X12 for electronic data exchange. Used MySQL database to store the data.Used GitHub to maintain the version of the files and took the responsibility to do the code merges from branch toDeveloped UI using JSP HTML5 Tag libraries CSS3 JavaScript, Angular2 and AJAX.Developed reusable custom directives using Angular 4 using transude, restrict, event handlers and templating.