Technology : Python, Sci-kit,Turicreate,Pandas,mllib,pyspark

Recommender system which personalise user with certain product to purchase based on browsed products, previous purchased items and frequently bought together suggestions to drive sales.
Used type of recommender system is item based collaborative filtering which recommends products based on item-item
similarity. Classification of user persona or customer segmentation on a website is based on clustering an unsupervised
machine learning algorithm to cluster user into different groups which will be useful to furnish insights and
increase sales revenue.

Technology : Python,Tensorflow,Convolutional Neural Network

Deep neural network will group different types of collected malwares according to their family groups which
will be useful for classifying the malwares that are collected by comodo antivirus where the malwares,quarantined and
sandboxed items will be analysed by the avlab malware research teams.Since thousands of malware samples flow per day all known malwares with little code obfuscation or modification will be also classified which will reduce static and dynamic analysis on known malware for the research team.Collected malware
binary file will be converted into binary vector from which images can be formed.
These collected malware images are trained on convolutional neural network for further classification into
different malware family.

Technology : Python
Our team responsibility to develop the automation scripts using the python scripting language for the comodo customers.
We create custom scripts, and builds the platform to business needs. We will test the scripts in our test environments
and will provide results to the customers. We manage IT management tools, including RMM (Remote Monitoring and Management),
Service Desk, and Patch Management