Augmented Reality Training System DevelopmentAs a Data Scientist, I spearheaded the development of an innovative augmented reality (AR) training system aimed at optimizing learning experiences and performance. This project involves a range of key responsibilities and achievements:Data Acquisition: Leveraged Python websockets to establish seamless communication with Emotiv EEG headset and tobii eye tracking glasses API, ensuring efficient and accurate data acquisition from multiple sources.Data Processing and Metrics Calculation: Employed advanced data processing techniques to clean, preprocess, and analyze the acquired data, extracting relevant metrics crucial for performance evaluation and user insights.Augmented Reality Overlay Development: Led the design and implementation of an interactive overlay to integrate AR capabilities into the training system. This overlay enhanced user engagement, providing real-time guidance and feedback during training sessions.Training Data Acquisition: Conducted comprehensive trials involving 30 trainees to gather valuable training data. Designed experimental protocols and managed data collection procedures to ensure data accuracy and integrity.Performance Evaluation: Utilized mixed effect models to conduct thorough performance evaluations, considering a wide range of factors such as individual differences and training progress. The analysis provided valuable insights into user performance and identified areas for improvement.

Orchestrated the mentorship and guidance of student writers @ Writing Lab, fostering an environment conducive to the development of compelling arguments and the proficient articulation of their ideas.

* Devised a ‘Where to play’ strategy for a Fortune 100 company by implementing market segmentation across geographies by leveraging machine learning techniques such as K-means and K-mode clustering on HCP data.* Streamlined weekly brand-level analysis workflows, saving over 5 man-hours per week, through the creation of interactive Power BI visualizations that enhanced data visibility and decision-making processes.* Catered to ad hoc requests from different stakeholders by running SQL queries on AWS Redshift, generated insights/recommendations and responsible for creating and delivering high priority weekly reports.

* Conducted competitor analysis for Indian 2-Wheeler market and built a Power BI dashboard which presented 2-Wheeler sales in India by state and OEM, and highlighted market quality issues with a geospatial graph to identify specific dealer issues.* Designed a holistic two-wheeler benchmarking database in Excel and automated the appending process post vehicle testing using an ETL pipeline which reduced the documentation time per test by 2 hours.

* Formulated a predictive model in MS Excel to estimate frictional power loss in axles and ran a parameter sensitivity analysis to identify the most influential design parameter contributing to power loss without actual testing.* Successfully proposed a 3% reduction in frictional power loss and published the innovative approach in the prestigious journal of SAE International titled ‘Frictional Power Loss Distribution of Automotive Axles - Experimental Evaluation and Analysis’.