Vinothini S

Highly-motivated employee with desire to take on new challenges. A great team player, fast learner and adaptable with an attitude to learn new things. Adept at working effectively and quickly mastering new skills.

• Microarray datasets are huge and number of attributes is large making it cumbersome to analyze. The project is to predict the class of cancer on microarray data with wrapper based Boruta algorithm for Feature Selection and Back Propagation Network (BPN) for Classification in R.
• Predict and categorize malware on internet with help of Deep Learning algorithm. Employed Restricted Boltzmann machine (RBM) neural network to reduce the dimensionality of data and classification increasing the speed of processing.

• Appreciation for quick learning skills and building the solutions using them.
• Received excellence award thrice in Micro focus, one given for Best performer in a quarter.
• Winner of Micro focus Hackfest 2018, for developing Infrastructure as Code (IaC) capability.
• Won First Prize in SYMBOHOLIC, an Intra College Techno Management event conducted by the Department of Information Technology, PSG Tech 2016.
• Participated in VIRALI conducted by Women’s Development Cell.
• Convener for the Hostel Council events conducted by the PSG Tech Hostel in the academic year 2013-2014.