Adithya M S

Hi, I'm Adithya M S.

3rd Year CSE Student At PES University

Passionate towards developing ML, Deep learning and IoT solutions to real world problems.

About

I am a 3rd Year Computer Science Engineering Student at PES University. I enjoy problem-solving and coding. Passionate towards developing ML, Deep learning and IoT solutions to real world problems.

Languages: Python, Java, JavaScript, C, C++, HTML/CSS
Databases: PostgreSQL, MongoDB
Libraries: NumPy, Pandas
Frameworks: MERN Stack, Django, Keras, TensorFlow
Tools & Technologies: Git, Apache Spark, Hadoop, AWS, GCP, Heroku

Experience

Pyramid Developer

Student Developer

Worked on 2 Flutter mobile applications called Khushi and CampX.
Khushi- A clinic management application aimed at helping Doctors, Pharmacy Owners in managining clinics.
CampX - A ongoing project on social media platform.
Worked on Inventory Management part of Khushi Application and Authentication of CampX applications.
Tools: Flutter, Firebase

June 2021 - Present | Bengaluru, India

Projects

                
Distributed Spam Email Classification
                  A Spam Email Classification on Apache Spark Streaming
                
AccomplishmentsTools: Apache Spark
Spam Classification of streaming data using models like SVM, Naive Bayes, Multi Layer Perceptron, Passive Aggressive and Logistic Regression. 
Also visualized it as a clustering problem. 

Stock Exchange Simulator Web-App
                  A Stock Exchange Simulator Web Application using PERN Stack
                
AccomplishmentsTools: PostgreSQL, Express, React, NodeJS
 A simulation where users can trade stocks and get an actual overview of real stock exchange market.

Fire Detection System on Arduino
                  A simple Fire Detection Alarm on Arduino.
                
AccomplishmentsTools: Arduino(C++)
Alerts User on Fire break out in a place.

Sales Forecasting
                  A Sales Forecasting ML Model.
                
AccomplishmentsThis project uses two Machine Learning models to predict sales. One model predicts sales using Artificial Neural Network and the other one is SARIMAX.

Pattern Matching Using FPGA
                  A Pattern Matching Application using FPGA
                
AccomplishmentsPattern matching is the process of checking whether a specific sequence of characters/tokens/data exists among the given data.
Functionally similar to grep command in linux.