Developed regression models to forecast consumption of digital content across brands and platformsImproved data pipelines and data outlier identification methodologiesDesigned novel metric to measure impact of data anomalies

Developed data visualization techniques, migrating to comprehensive interactive reports showing various trends in workforce dataDeveloped a character n-gram based Long Short-Term Memory neural network model to predict ethnicity from last names using US Census dataBuilt an agglomerative clustering model based on last names to cluster regions into a proxy for ethnicity

Exploratory and predictive analyses of alternative splicing mechanisms.

Developing predictive models that relate structural and functional brain organization to visual performance.

ZS is the world’s largest firm focused exclusively on helping companies improve overall performance and grow revenue and market share through end-to-end sales and marketing solutions—from customer insights and strategy to analytics, operations, and technology.• Worked on the implementation of solutions to business problems leveraging quantitative, programming, and analytical skills.• Dealt with a copious volume of client data (~billions of records), working with technologies such as Unix (shell scripts), SQL, and Amazon Web Services (S3 and Redshift). Apart from the automation of processes by leveraging the mentioned technologies, also worked on analysis of said data to determine trends/errors. • Worked on end-to-end impact analyses based on errors in reported data and data adjustment based on proposed solutions for correction.• Automated certain processes by writing Shell scripts to reduce manual work to a minimum.• Developed, carried out, and leveraged existing Quality Control (QC) and Data Quality Management (DQM) checks to ensure quality of the data input from, as well as the data output to the client. • Worked on back-end enhancement and optimization using Python for ZS' proprietary Javelin™ suite of applications. Developed and implemented a functionality allowing for the addition of records to business rules using Excel workbooks on the same platform.

Was involved in the pooling of ideas related to an assigned topic within a group of 3/4 people. These ideas would turn into articles- each assigned to whoever pitched them. Feasibility of ideas was decided on the basis of the relevance, effectiveness, and volume of people it had the potential to reach.

Writing content such as product reviews, travel guides, etc. based on customer requests.