Tenacious worker with a goal to maximise the breadth and depth of my knowledge in the field of Computer Science.
Worked as a Software Developer Engineer (SDE) : Web App (ReactJs + Redux), Platform Independent Mobile App (Flutter) and also implemented back-end services in Ruby and Python for over a year to create production grade products.
Used my free time to work as Freelance Data Analyst for a brief period of time, carry out Research in the field of Bioinformatics by leveraging Machine Learning and Deep Learning.
I've also created several innovative MVP's (Minimum Viable Products) while participating at Hackathons.
Apart from this I'm a basketball player who represented my University Team during my Undergraduate Program.
Core Skill Area :
Loan Approval Prediction :
Time Series Analysis
Task I
To develop a Web Application to facilitate aggregation of streaming sources for Movies, TV Shows etc.
Worked extensively on Movie Review Summarisation employing Text Classification. Performed Part of Speech Tagging to extract Entities from Movie Reviews. Involved in Web Scraping and Data Wrangling to construct the required Dataset.
Benchmarking of Movie Review Summarisation :
Also instrumental in
This was my first internship and during my brief period:
Bharanikumar R, Premkumar KAR, Palaniappan A. 2018. PromoterPredict: sequence-based modelling of Escherichia coli σ70 promoter strength yields logarithmic dependence between promoter strength and sequence. PeerJ 6:e5862 https://doi.org/10.7717/peerj.5862
We present PromoterPredict, a dynamic multiple regression approach to predict the strength of Escherichia coli promoters binding the σ70 factor of RNA polymerase.
σ70 promoters are ubiquitously used in recombinant DNA technology, but characterizing their strength is demanding in terms of both time and money.
Using a well-characterized set of promoters, we trained a multivariate linear regression model and found that the log of the promoter strength is significantly linearly associated with a weighted sum of the –10 and –35 sequence profile scores.
It was found that the two regions contributed almost equally to the promoter strength.
PromoterPredict accepts –10 and –35 hexamer sequences and returns the predicted promoter strength.
It is capable of dynamic learning from user-supplied data to refine the model construction and yield more confident estimates of promoter strength.
Objective
Built a Platform Independent Mobile Application to track parking for persons with disabilities.
Real Time Parking lot status was tracked using sensors and CNN based image classification of occupied and available parking lots.
Objective
Built a MLP to classify Riboswitches, was exposed to working with genome datasets during this time.
Also developed the website to showcase the work done by the whole team.
Currently Continuing Research on Classification of Riboswitches to further performace and accuracy:
Objective
Built an Application that aggregated various Government Welfare Schemes under one roof. It finds the best scheme for an individual based on certain field parameters.
Reasons for choosing this Idea
Objective
Used Multivariate Linear Regression to predict the strength of sigma seventy promoters.
To accomplish this
Objective
Built a Bioinformatic tool using Machine Learning and Deep Learning models to classify Riboswitches without featureengineering the data.
Current version of the model (RNN) can classify 32 classes of Riboswitches with an accuracy of99% and favourable F1 Scor
Objective
Currently building a model to cluster similar National Basketball Association (NBA) Draft prospects based on college and draft-combine statistics.
Looking to collect data related to players’ background and their mentality.
Objective
To Build an economically feasible Smart Security System for my household which uses a Siamese Network for Face Recognition to run on a basic microcontroller.
Objective
Worked on an Collision Control System which sends an alert message to an emergency contact with the GPS coordinates of the accident.
Objective
Built a MVP to predict if a movie would be a Blockbuster or not using a Deep Neural Network for classification.
Took into account the movie's "story" which proved to be an important parameter
How would this is useful
Objective
Built a platform for doctors to interact with patients.Focusedon digital medical prescriptions which had multiple benefits,
viz. –Can ease congestion at the Hospital Pharmacy, can save paper used for prescriptions, and can have a digital trail of all medications prescribed.
Objective
To showcase the work put in by the iGEM Team of Sri Venkateswara College of Engineering
Objective
This was my first hackathon. Built a e-commerce price comparison platform based on Web-Scraping
Objective
A Web Development workshop by Sri Venkateswara College of Engineering ACM Student Chapter during the Sri Venkateswara College of Engineering Computer Science Symposium Interrupt in collaboration with ACE.
The workshop focussed on the LAMP Stack.
The various students attending the workshop were asked to setup apache server, a database and were taught HTML, CSS, Javascript, Php, Sql through short crisp examples.
The workshop also touched various other concepts in a more theory oriented way such as Ajax for asynchronous Server Requests, hosting/deployment of a website and various other languages currently being used in the industry.
To put all what they had learnt to work a demo Resume Website was prepared to demonstrate the interaction between the Frontend and Backend of Web Development.
Objective
Being a Member of the Web Team I was responsible for maintaining the ACM - SVCE Students Chapter website and developing new ones along with the team for all ACM - SVCE Students Chapter based Events.
APart from this I was also a Event Coordinator for a BioHackathon that took place at SVCE where ACM - SVCE Students Chapter and the iGEM Team collaborated together.
Objective
Being a Member of the Student Association at SVCE I was incharge of conducting various events at a intra-college and inter-college level.
Being the Sports Secretary I also took the collective opinon of issues regarding the betterment of sport infrastructure and Training.
On such instance was that there were only a few athletes who wanted to participate in the Best Physique Contest, due to this it was never included to our Annual Sports Day Festives.
I felt that the few who were diligent should not miss out on the oppurtunity and therefore urged for the inclusion of Best Physique and ensured it was.