Akash Yadav

PES University

Data Scientist

June 13, 2026 – Present

visit-us-project

April 5, 2026 – Present

visit-us-project — GitHub repository

C-Mini-Compiler-using-Lex-and-Yacc

April 12, 2021 – May 2, 2021

C-Mini-Compiler-using-Lex-and-Yacc — GitHub repository

Wavelet-Based-Image-Fusion-For-Tumor-Detection

December 6, 2020 – December 6, 2020

Wavelet-Based-Image-Fusion-For-Tumor-Detection — GitHub repository

ARMSimulator-Verilog-Project

December 6, 2020 – December 6, 2020

ARMSimulator-Verilog-Project — GitHub repository

Big-Data-Airline-Delay-Prediction

December 6, 2020 – May 20, 2021

Predicting US Airline Delay using spark(pyspark) and Apache Arrow.The objective of this project is to perform analysis on the historical flight data to gain valuable insights and build a predictive model to predict whether a flight will be delayed or not for a given set of flight characteristics.

AlgoTradingNSE

October 29, 2020 – October 31, 2020

A project that tries to influence buying and selling of stocks using an algorithmic model built using an ensemble of KNN, Decision Tree, Random forest and SVM. The model depicts an ideal scenario for maximizing profits from a trade. A momentum strategy that is used to predict trading signal has been modelled based on a set of rules using various technical indicators

Weighted-least-squares

October 19, 2020 – October 19, 2020

In this project we are discussing how, using the power of the weighted least squares approach with linear algebra can help to produce more accurate statistical information that allows for those who are performing analysis of data to make more informed inferences

Big-Data-Project

September 5, 2020 – September 5, 2020

Course Project for Big Data(UE18CS322)

Data-Analytics-Project

September 5, 2020 – December 9, 2020

A decision tree based predictive model which predicts the winner of an election. The predictive model is complemented along with Exploratory data analysis.

Image-fusion-MRI-CT

September 2, 2020 – October 19, 2020

The objective of image fusion is to combine information from multiple images of the same scene. The result of image fusion is a new image which is more suitable for human and machine perception or further image-processing tasks such as segmentation, feature extraction and object recognition.