B. Tech in Computer Science and Engineering
M. S. Ramaiah University of Applied Sciences
CGPA / Percentage: 7.73
Computer Science Graduate | AI ML Enthusiast | Pythoneer
I am an Engineering Graduate. I pursued my Bachelors Degree in Computer Science. I am passionate about coding and machine learning. I am always enthusiastic about new technologies and eager to learn new skills and broaden my knowledge. In my spare time, I make videos on YouTube. Traveling and exploring places is also a part of my life.
M. S. Ramaiah University of Applied Sciences
CGPA / Percentage: 7.73
Wipro, Chennai
As a Project Engineer - Developed APIs using the Flask Framework which would be used by the front end team to create the dashboard. - Build an ATM webapp using HTML, CSS and Javascript in the Front end, JSP, Servlets, EJBs in the backend and Oracle SQL as the Database. - Participated in Wipro's TopCoder challenges. Completed Multiple Trainings and Certifications.
Deloitte, Bengaluru
As a Data Engineer - Created interfaces for Data Ingestion using AWS services (Glue) and Tidal Scheduler. - Automated the process of extracting curated data from AWS Athena and used AWS Glue for further data processing of the extracted data. - Configured the entire CICD pipeline to automate the Data Ingestion and Data Curation process at time intervals using TIDAL Automation Tool. - Wrote reusable custom scripts for Data Ingestion and Curation for unsupported files, automated file generation and MFT process. As a Data Analyst - Worked on an autonomous vehicle object detection problem using Detectron2 and OpenMMlab, and fine-tuned the models on Audi A2D2 dataset which increased the objects discoverability by 20%. Training and inference were done using AWS services (AWS Sage maker). - Worked as a developer in creating and testing libraries on Python, Java and JavaScript which will be consumed by the client’s API to optimize the client’s end user experience. - Worked with a benchmarking team to analyse, debug and rank code based upon time and space complexities.
Online
Completed AI ML Certification from Wipro, which included Python Programming assignments and Machine Learning Assignments
Online
Completed Multiple certifications on Python, Statistics, Mathematics, Deep Learning etc.
Bangalore
Build an IOT Device using breadboard and arduino to measure the nearby temperature and upload the data using the wifi module to a server.
Online
Completed an Intensive Machine Learning Course and have Built and Deployed Multiple Projects on the Cloud.
This is a project that is built using the Python and Flask Framework. This webapp can predict the overall score of a football player given various attributes and match information. This webapp is deployed on the Heroku Platform.
Built using the Flask Framework, this webpage takes in user details such as age, workclass etc, and tries to predict whether the person earns more than 50K per month or less. This project is Deployed on Heroku Cloud Platform.
The Project uses Bagging Ensemble Machine Learning Technique to predict the Boston House Prices. This is a Regression Problem. It takes some necessary data for the prediction and is able to predict prices based upon the provided data. This Project is created using the Flask Framework and is deployed on Heroku Cloud Platform.
This project is built by analyzing the titanic dataset. The machine learning model can predict if a passenger survived the Historic Titanic Incident provided some of the passenger details. Flask framework with the help of Decision Tree is used to Built the Model. and the model is deployed on Heroku Cloud Platform.
This Machine Learning Model is able to assign a quality score to the Red Wine based upon the properties/composition of the Wine. It is built using the Flask Framework and deployed on Heroku Cloud Platform.
A Webpage that takes in all the required details of a Woman and is able to predict whether the woman has any affair or not. This project is built using the Flask Framework, it uses the Logistic Regression Algorithm. And this is deployed on Heroku Cloud Platform.
The Project uses the classical Linear Regression Model to predict the Boston House Prices. The Housing Details are provided to the algorithm and the algorithm is able to predict the Housing Prices. This Project is created using the Flask Framework and is deployed on Heroku Cloud Platform.
This web scapper scraps data from MonsterIndia website. It scraps all the Job related details. Built using Selenium and integrated with MongoDB.
This is a Web Scrapper built using Python and Flask Framework. It scraps Flipkart's website and shows all the user names, reviews, ratings, and descriptions given by that user. This program is deployed in Heroku Platform.
This is a web development project that mimicks an ATM (Automatic Teller Machine). It has functionalities for login, register, set pin, add cash, withdraw cash etc. This was build by a team of 4 as a part of the POC process at Wipro.
To design and analyse the performance of various bio-inspired algorithms and compare them with trivial algorithms to solve real world issues of wireless sensor networks.
An app that is designed and built in android studio, which provides all the details of the political parties, leaders and current political news. Through this app, the registered user can also cast their vote. The development of the app required knowledge of web development skills such as HTML, CSS, XML and PHP. Also the skills for android studio was required.
IoT using Adreno to measure live temperature of the ambient atmosphere using temperature sensors and to transfer the sensed data and plot it in the hosting website as a graph for data analysis.The knowledge of adreno board, temperature sensors and bread board are required as a pre-requisite.