C. ANITHA

To work pragmatically in an organization where I can expose my talents and enhance my skills thereby being a valuable resource to the company.

• Academic Project in M.E:
• The project “Detecting Malicious URLs Via a Keyword Based Convolutional Gated Recurrent Unit Neural Network” is completely coded using Python in the Jupyter Notebook environment.Packages such as pandas,keras,numpy, seaborn, matplotlib and sklearn are imported for using its various functionalities
• Have created a dataset from the web that has URLs of various websites that may be either legitimate or malign
• Data preprocessing is done initially to minimize the noise from the raw data
• A data frame is created with domain names and addresses
• Feature extraction on the URLis performed based on 30 features such as long_url, having_@_symbol, redirection_//_symbol, domain_registrationlength, age_of_domain,pop up window,etc
• A statistical calculation of mean, variance and standard deviationis performed on the extracted features and is displayed as heatmap highlighting the features of URL with high statistical attributes.This helps in selecting vital 22 features that could possibly converge to a malicious URL attribute.Monte Carlo algorithm is employed on the accumulated dataframe for performing random sampling
• We then simulate the neural network with 22 input layers,3 hidden layers and 1 output layer for which the Sigmoid activation function is selected.The NN model is trained with sequential feed forward and back propagation setting the learning rate as 0.1
• Stochastic gradient decent is performed to choose the optimal value for weights and bias for whichthe global minima of error will be attained
• The model is finally compiled using Adam optimizer and the performance metrics hence found like F1 score,Precison and Accuracy proved to be far better than the previous techniques such SVM and LR employedfor the same problem
• Academic Project in B.E:
• The project titled “Preventing mobile software cracking using CAPTCHA” is developed based on an IEEE base paper is executed in J2EE and J2ME platforms
• The user intruding the web browser through his mobile will be prompted with a CAPTCHA-Completely Automated Public Turing test which looks like a distorted text that can be deciphered by a human
• CAPTCHA is designed and generated based on various hand drawn images at the back end using TOMCAT server and is received at the front end mobile device
• It permits the user only when the fed input from the user matches the linked text of the captcha
• This helps in avoiding anonymous spam or bot intrusion
• Certifications:
• Completed a course on Neural Networks and Deep learning in Coursera on JANUARY 2022
• Certified by KAGGLE on completing a course on INTRO TO MACHINE LEARNING on NOVEMBER 2021
• Completed successfully AICTE Training And Learning (ATAL) Academy Online Elementary FDP on "Machine Learning Algorithms for 5G Mobile Networks" from 04/10/2021 to 08/10/2021 at Indian Institute of Information Technology Design and Manufacturing Kancheepuram
• Completed Machine Learning Course in SimpliLearn on OCTOBER 2021
• Certified by KAGGLE on completing a course on PANDAS on JUNE 2021
• Certified for participating in a 7 hours long Bootcamp on “Data Analysis using Python-Pandas on JUNE 2021 ”
• Certified by COGNITIVECLASS powered by IBM for the course PYTHON FOR DATA SCIENCE and have earned a digital badge
• Certified for completing a workshop on CODING A DEEP LEARNING NEURAL NETWORK FOR CLASSIFICATION USING TENSOR FLOW-KERAS on JUNE 2021
• Certified for participating in 3 weeks International Faculty Development Program on “Research Perspectives on AI,ML,Data Science & IOT” organized by KL University, A.P on JUNE 2021
• Certified for participating in 2 weeks National Level Short Term Training Program on “Full stack AI and Deep Learning Practitioner Approach” organized by KL University, A.P
• Certified for completing the course on “TABLEAU TRAINING FOR DATA SCIENCE” through Udemy On FEBRUARY 2021
• Certified by SUN MICROSYSTEMSas aJava Programmer for the package “Sun Certified Java Programmer 5.0”
• Certified course in ‘C’ & C++ language on Aptitude basis by MAZE INTERNATIONAL,Erode
• Certified course in J2EE by INFOGENESIS SOLUTIONS,Erode
• Papers Presented,Publications& IVs:
• Have presented a paper on topic “Detecting Malicious URLs Via a Keyword BasedConvolutional Gated Recurrent Unit Neural Network”in the International Conference on ‘Data Science and Big Data analytics for Sustainability-2020’
• Have published a paper related to PG project in the International Journal of Research and Advanced Developmentand was released on October 2020 edition
• Presented a paper on Wimax Technology in an inter-college Technical symposium and had bagged third prize
• Learnt work culture at UST GLOBAL, Trivandrum in an industrial visit
• Have undergone implant training in BSNL, Erode and in Mezoblanca Solutions, Coimbatore
• Patent:
• Invented the Patent Titled “Machine learning based plant disease detection for agriculture safety” with Patent Application No
• 202141057273