SHAUNAK DESHMUKH

Computer Science Engineering graduate with a focus on software development. Strong performance (97 percentile) in VARC section of CAT 2024 highlights proficiency in verbal reasoning and comprehension. Effective problem-solving skills enhance ability to contribute to content creation and team projects. Interested in internship position at Rodha to apply analytical skills in a practical setting.

Recipient of VIT's 'GV School Development Programme' (GVSDP) scholarship, 2020-2024

1. Flight data analysis system using Hadoop MapReduce algorithm to process large-scale aviation datasets, integrating sentiment analysis and anomaly detection to enhance decision-making, efficiency, and passenger experience in the aviation industry

2. Network intrusion detection using machine learning, decision tree classification, and data mining techniques like classification and clustering was used on the NSL-KDD dataset to detect DoS, R2L, U2R, and probe attacks 

3. Detection of pneumonia from chest X-rays using convolutional neural networks, OpenCV's Canny edge detection technique is used in the segmentation of the X-rays, and methods like dilate, Canny, and erode, etc., were used for image processing

Part-time badminton coach in Zila Stadium, Amravati.