Anushtha Tamrakar

Developed a user eye-tracking tool to evaluate UI performance, resulting in a 40% efficiency upgrade. Increased revenues by 60% by implementing the Rasa Framework chatbots, which enhanced user satisfaction. Prototyped computer vision to track user’s moods, resulting in a 30% improvement in accuracy and performance.

Improved cyberattack detection and classification efficiency by 70% through a Deep Learning CNN - LSTM model. Conducted statistical analysis, including the Chi-squared test and ANOVA, resulting in a 93% accuracy rate. Analyzed a 21 GB-sized dataset to detect patterns in cyber attacks through data organisation and analysis.

Implemented Rasterio, a powerful geospatial Python library, to precisely detect and classify 3,000 rooftops. Achieved a 25% increase in total efficiency of energy usage through strategic planning for the set up of solar panels. Optimized existing energy sources by 30% by analyzing and making data-driven development.

Extracted data from 50 sources in Communication with the government to create a dataset on landslides in India. Constructed a predictive model that analyzed rainfall data and significantly improved Landslide Prediction by 80%. Employed data-driven strategies to improve the accuracy and reliability of output growth by 40%.