• Assisting Professor Martin Schedlbauer in teaching Data Mining and Machine learning concepts in R• Helping the students to understand the Machine Learning concepts using R and hosting TA hours to teach them Statistical programming in R• Providing guidance to the students for their assignments and projects

PROJECT I – MARKET ANALYSIS- Collected and cleansed the data from different sources to analyze the market of Atlanta to target audience based on their behavior - Built Machine Learning models to identify the customers with different spending patterns and used Salesforce and Google Analytics to market the product to our potential customers with different A/B testing strategies- Designed and built data models to store the data in an easy to use format for reporting, dashboards, and… Show more PROJECT I – MARKET ANALYSIS- Collected and cleansed the data from different sources to analyze the market of Atlanta to target audience based on their behavior - Built Machine Learning models to identify the customers with different spending patterns and used Salesforce and Google Analytics to market the product to our potential customers with different A/B testing strategies- Designed and built data models to store the data in an easy to use format for reporting, dashboards, and self-service analytics- Identified the pain points and developed templates for gathering business requirements while determining paths for optimization- Predicted the net sales for the next quarter based on the previous sales history thus improving the financial management - Performed complex data analysis using SQL and data visualization using our BI tool, Mode Analytics, and Tableau to present weekly sales to different teams to improve the marketing strategies and worked with diverse teams in the startup to increase the customer-lead generation by 80%PROJECT II – ANALYSIS OF HUMAN EMOTIONS USING EEG SIGNALS- Collected EEG signals from students for 20 minutes while they were reading articles from the courses offered by Lighthouse- Cleaned the data to remove excess noise from the background using Fourier Transform and studied the frequencies of the sensor- Built KNN using R and Python to predict and cluster the moods and emotions of the students when they read the content of the course article with accuracy of 60% and improvised the syllabus for the courses with the help of emotion classification Show less

• Proficiency with data extraction and file manipulation from multiple data sources• Visualized data using R and Python to build a model for EDA of real-time data collected from wearable sensors like gyroscope• Estimated pulse rate and breathing rate from sensor movement and filtered the noise using Python algorithms

•Collected data from different data sources about the sales of the products using SAS•Performed data cleansing by analyzing and eliminating duplicate and inaccurate data using macros in SAS and generated highly customized reports •Amplified the sales of the product by 50% by visualizing the data collected and improved the marketing strategy using SAS

Developed a decision making algorithm by analyzing a dataset containing details of the customers of a particular bank using SAS. This helped in transforming the bank's decision making and marketing skills which resulted in an increase in customer quality and satisfaction.