From July 2020- July 2021, I was working with Mortgagekart Limited as a Software Development Engineer, where I was working on 2 major projects; enhancement of ETL architecture and DevOps.
From Jan 2020-June 2020, I was working with Nvidia Graphics Pvt Ltd, Pune as a Tools Development Intern, I was responsible for full lifecycle automation of next-generation software, from UI automation to generating test reports.
Masters in Data Science from Northeastern University, Boston, MA during the period of Sep. 2021 - Present.
Bachelors in Computer Science from Shivaji University, Maharashtra, India during the period of July 2016 - Oct. 2020.
When I’m not in front of a computer, I enjoy traveling, sketching, playing football, binge-watching movies/series and participating in tech events like Hackathons.
I have been fortunate to learn and having new experiences in general.
Played a role of DevOps Engineer and used Node.JS scripts for CI/CD pipelining to integrate Gitlab with Docker containers and achieved continuous delivery goals on a high-scalable environment. Also provided high-availability of servers and documented contingency plans for server infrastructure.
NodeJS, Docker, Gitlab, CI-CD pipelining, Swagger
MK-ETL Enhancement is an internal project of Mortgagekart, where I performed an active role in enhancing the overall ETL architecture by extracting and transforming XML data to PostgreSQL format using Python. Developed PostgreSQL scripts and optimized query performance using materialized views, indexes and functions.
Python, PostgreSQL, XML
QVS Automation is quality verification system of SDKM(Nvidia Configuration Software) of Nvidia Graphics Pvt Ltd. The project included execution of test cases, verification of system- sanity testing, regression testing, end-user testing, software level integration troubleshooting, root-cause analysis and generating test reports.
A project using python and machine learning for the effective allocation of marketing resources and the maximisation of cross and up-selling opportunities by grouping different customers based on their shopping patterns.Some interesting applications are like identifying new products that existing or potential customers could be interested in.
Read MoreAudio Event Detection is an audio sound classification project using the Environmental Sound 50 dataset and python-ML with alerting for any sound that is found suspicious.
Read MoreSIH 2019 Guwahati, Assam Project- 36 hours hackathon conducted by government of India. We developed an effective Tsunami alerting system based on the satellite images.
Read MoreA research based project on classifying emotions based on facial expressions of user and increasing the accuracy of openCV with different image processing techniques. Research Paper Presentation ISBN- 978-81-937924-0-7.
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Smart India Hackathon is a 36 hours nationwide initiative to provide students with a platform to solve some of the pressing problems we face in our daily lives, and thus inculcate a culture of product innovation and a mindset of problem-solving. The alert is based on incois.gov.in oceanic website's satellite images of India.
We developed a 5-layer neural network with 4 convolutional layers and 1 dense layer with 50 nodes as classes of sounds which reached an accuracy of 69.7% from a noisy source. It identified sounds not only from audios but from video files too. An extension of this project was generating alerts if found suspicious.
Clustering customers based on shopping patterns and generating customer-specific advertisement. The products are clustered using K-means clustering and the customers are classified based on Voting Ensemble Classifier using K-nearest neighbors, Random forest, and Gradient boosting classifier.
Intelligent Media Player plays media based on the user's mood. The mood is classified based on the user's facial expression. Our solution solved the shadow problem caused due to uneven lighting of the face. Research Paper Presentation ISBN- 978-81-937924-0-7
Ever noticed how Facebook instantly recognizes your friend’s face and asks you if you want to tag him in that photo? From controlling a driver-less car to carrying out face detection for bio-metric access, image recognition helps in processing and categorizing objects based on trained algorithms. So, let's create an Image Recognition Classifier, to get a brief introduction in this field.
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I am a massive football fan, and that means that I love playing FIFA too. Through the years I have seen that the detailing of the game has been revamped to a whole new different level. The thing that remains the same is the gameplay. I have always pondered how this works and this blog is about knowing how FIFA gameplay would have been programmed. I do not claim that FIFA uses the approach which I have mentioned, but this is just seeing the game through the developer’s lenses. So let us begin.
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Automation is one of the coolest and most exciting applications in computer science. Automation testing saves many man-hours of work as well as increases efficiency. Python simplifies the task of automation testing using a variety of frameworks, modules, and APIs. In this article, we will discuss some of the quintessential python modules and their learning platforms.
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