Hi I'm Pramod K , Computer Science graduate, interested in Problem Solving and Passionate about Coding. Looking for an engineering position in an organization where in acquired skills and experiences are utilized towards diverse professional responsibilities to produce commendable results, continued growth and advancement
My area of Interest includes Problem Solving, Machine Learning, Software Development and Application Development
This project Explains an Image Using Deep Learning Flickr 30K Images along with captions are used as input dataset Features of Images are obtained using Pre-trained Model (InceptionResNetV2). Captions are preprocessed and then fed along with features to train our Deep Learning model.Captions are Sequentially generated using LSTM. Google Colab used for Development
Credit card fraud dataset is obtained from kaggle which has 31 parameters Correlation of each feature with output (class) is observed. Considering only outliers based on correlation, by choosing equal number of regular and fraud transactions, model is trained. Based on training suspicious transactions are detected.(Classification classes used are SVM, Random Forest Classifier, Logistic Regression)
Chat Application using Angular JS and C# and Pub nub API. Pub nub allows to create a channel and users can subscribe to a channel based on subscribe key and user can publish to a channel using publish key. Chat application provides private chat, public chat, Group chat etc.
Gupshup API allows creation of bot template.Bot written using Java,which communicates with Rally for task creation,defect creation,updation, deletion,querying a defects,closing defects etc. Chatbot could be used on Whatsapp, Telegram, Cisco spark etc..
For the given location and for given person, tweets are read using Twitter API using hash tags. Tweets are stemmed for better results. Tweets are categorized into positive, negative or neutral. Based on the counts of positive, negative and neutral values decisions are predicted
Text Summarization, a java web application which accepts the large text and summarizes the text with given number of lines based on the given threshold. Sequence of text given as input. Each sentence compared with other sentences are redundant sentences are removed based on the given threshold. Stemming are done for words, for better results.
Master Degree in Computer Networks from R.V College of Engineering, with CGPA of 9.61 (2018-2020)
Completed Bachelor Degree in Computer Science from VTU Belgaum with 75.02% (2011-2015)
Completed Pre-University from Vidyabharati PU College Shimoga with 89.5% (538/600) in year 2011
Completed Matriculation with 91.36% from DVS High School in year 2009
Responsible for developing Account related SOAP services such as Account Closure, Relationship Manager for Account, Exceptions for Account (Credit, Debit blocks), Waiting Period etc.Responsible for creating User Interface for Account Creation, Cash Withdrawal and other services.Part of Conversion Engine Team, which migrates the Old Bank data to new one
Worked on Oracle Cloud Platform Services such as Repaver, Infrastructure Manager, Jenkins, and worked on Kubernetes API's, Containers, Docker etc.