Vishnu Vardhan Pachunoori

Data Engineer with 1.5 years of experience as a data engineer planning, constructing, and optimising infrastructure and data pipelines. knowledgeable about a wide range of data technologies and programming languages, with practical experience in database administration, ETL development, and data modelling. I'm eager to use my knowledge and experience to support creative ideas and promote corporate success.

• Quantifying COVID-19 Content: We collect the news content from various online sources in the form of comments. This model processes the data from an imported dataset (comments) and results in a report analytics. We pass this to a model which classifies the data as pro vax and anti vax.

overall, this approach shows that a machine-learning algorithm, the LDA algorithm, plausible topics within collections of posts from online communities surrounding the vaccine and COVID-19 debate. In addition to being able to handle large quantities of data, its results emerge quickly using statistical grouping techniques, instead of having to rely on potentially biased, slow and costly human labeling.

• Android Malware Detection: •Android platform due to open sourcecharacteristic and Google backing has the largest global market share. It has drawn the attention of cyber criminals operating particularly through wide distribution of malicious applications. This paper proposes an effectual machine-learning based approach for Android Malware Detection making use of evolutionary Genetic algorithm for discriminatory feature selection. Selected features from Genetic algorithm are used to train machine learning classifiers and their capability in identification of Malware before and after feature selection is compared. The experimentation results validate that Genetic algorithm gives most optimized feature subset helping in reduction of feature dimension to less than half of the original feature-set. Classification accuracy of more than 94% is maintained post feature selection for the machine learning based classifiers, while working on much reduced feature dimension, thereby, having a positive impact on computational complexity of learning classifiers.

• Certification in The Joy of Computing Using Python in NPTEL(National Programme on Technology Enhanced Learning)
• Online Certification in DevNet Associate(Cisco Networking Academy)