Name: Ashutosh Kumar
Type: User
Company: @thomsonreuters @Volkswagen @ascena @Tesco @TechMahindra
Bio: Python, SQL, LLM, Data Science, Neural Networks, AI, ML, Spark, Hive, Hadoop, MLOps, Deployment, Java, Micro Services, UNIX, PL-SQL, C/Pro-C, Oracle
Location: Bangalore
Ashutosh Kumar's Projects
The purpose of this dataset is to get a better understanding of the taxi system so that the city of New York can improve the efficiency of in-city commutes.
Data Science Project :Since the most common measure of economic development is the GDP, we will analyse the GDP of the various states of India and suggest ways to improve it.
Statistics questions and solutions in Python
Demonstration of how Keras works as a wrapper and how to build a model in Keras on the MNIST dataset
We will implement transfer learning in Python(keras) using the pre-trained ResNet model.
Letter Recognition using SVM
Data Science Project: To build a multiple linear regression model for the prediction of car prices.
Data Science Project : A digital media company (similar to Voot, Hotstar, Netflix, etc.) had launched a show. Initially, the show got a good response, but then witnessed a decline in viewership. The company wants to figure out what went wrong.
Data Science Project : To determine the factors of diabetes in Indians.
Data Science Project : Lead conversion prediction for online education company
Data Science Project: To predict which factors leads to churn and find customers who are likely to churn.
This is implementation of my Masters thesis work and aims at predicting the patient mortality from the MIMIC-III v1.4 Database
Deploy a Machine Learning models in production as APIs(Flask)
Data Science Project :To use the data to optimize the sale prices of the properties based on important factors such as area, bedrooms, parking, etc.
We will build a complete neural network using Numpy from scratch on MNSIT handwritten digits dataset.
A rasa open source chatbot that takes user queries and returns the best restaurants in the area using Zomato API
Use of Deep Learning for Optical Character Recognition
Credit Card Fraud Detection Project
HMMs and modified Viterbi algorithm for Parts of Speech tagging
Use RNNs to tag words in an English corpus with their part-of-speech (POS) tag.
To build a predictive model to predict the probability that a given customer will buy a "printer-related product."
Use Reddit News Headlines to predict the movement of Dow Jones Industrial Average.
PySpark Data Analysis for airlines dataset for files hosted on HDFX=S.
PySpark ML Heart and Advertisement Data Analysis
Attempt to scientifically analyze the phenomenon of increased traffic violation tickets issued by the NYC Police Department.
We have built a word-level text generator on Valmiki's Ramayana text.
Build a random forest model to predict whether a given credit card customer defaults or not
Reading grey scale and colour images
Predicting CO2 Emissions Using Other Variables (for a given year)
Goal i s here to create RFM customer segments and find CLTV for existing customers
React
Typescript
Django
Laravel
Facebook
Microsoft
Google
Alibaba
D3
Tencent