• Built an unsupervised learning model and an interactive Tableau dashboard for generating the insights on AARP website users based on their visiting patterns and demographics, helping AARP increase the targeted campaign response• Enhanced customer experience and improved user engagement by attracting more visitors• Combined the data by using Spark SQL and created an automated pipeline on databricks to perform data cleaning, feature Engineering & topic modeling tasks on BIG data ( ̴4 billion) using pyspark dataframes• Incorporated topic modeling using latent Dirichlet allocation (LDA) technique in natural language processing on web scraped AARP articles helping AARP determine what topics users are interested in on their website• Compared performance across various clustering models in pyspark mllib and sklearn library to find the best clustering model on the dataset and delivered kmeans and gaussian mixture model for two categories of users• Made an interactive & intuitive Tableau storyboard connected to the Databricks to convey the insights generated from the model to various stakeholders across the organization, enabling them to create marketing strategies and improve the content on the website

• Developed a workflow using Amazon Web Services to automate the web scraping of the documents reducing the time to manually download the documents by a factor of 5• Utilized Natural language processing (NLP) based NLTK library to find readability scores of company documents giving insights on the difficulty of a language used in the company’s sec documents• Text analysis on documents to compute the cosine similarity across sentences, bigrams and trigrams to get the insights about important sections across the documents and how much language is being copied across sec documents for research

• Gathered, organized, analyzed, and interpreted data trends from the complex data sets• Create weekly and monthly reports for different departments to help drive business decisions• Aggregated the data from various sources using restful APIs making the data consistent across the platforms• Delivered clean and effective Tableau dashboards and insight generation based on business department requirements• Built a MySQL relational database and performed ad-hoc queries, used excel pivots to analyze the data

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• Developed modules in Java for the company for their enterprise software which helps to simplify the process of e-filing• Designed a UI for the module using NetBeans IDE in Java• Automated the process of extracting the relevant data using regular expressions for processing