Ashaish Kumar

Highly motivated and detail-oriented Data Analyst with a strong foundation in data analysis, visualization, and reporting. Skilled in developing and implementing data collection systems, identifying business needs, and creating predictive models that improve forecasting accuracy. Proven ability to collaborate with cross-functional teams and deliver data-driven insights that drive revenue growth and operational efficiency.

Enhancing Unmanned Aerial Vehicle (UAV) Security.

Machine Learning Approaches for Intrusion Detection and Computational Dependency Analysis in Encrypted WiFi Traffic. Use of machine learning techniques to enhance the security of unmanned aerial vehicles (UAVs). Focusing on encrypted WiFi data, the research delves into machine learning models such as XGBoost, AdaBoost, Logistic Regression, Feedforward Neural Networks (FFN), and Recurrent Neural Networks (RNN) for UAV communication to mitigate vulnerabilities. A novel approach in this study is the integration of auto encoders for efficient dimensionality reduction and the use of graph networks for advanced intrusion detection.

Captain of Collage Team - Cricket & Football 

Head Student Union & Cultural Committee 

Winner - Gaming Competition

IT Quiz Academic Achievement Award

Gaming Streaming - PS 

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