I'm Aayushmaan

Web Development

I am competent in HTML, CSS, JavaScript, ReactJS, Node, MongoDb, SQL, EJS and this is my first website on the internet so feel free to share your opinion about it with me via the contact me button provided below

R Programming

I am equipped with R programming and I can analyse data, filter dataframes, create plots from the data and can do operations on dataframes with R. The image in the description of this skill is a plot created by me as a part of a project analysing audience rating v/s critic rating for specific genres of movies. Here are some projects that I have uploaded on GitHub

1. Demographic Analysis
2. Movie Analysis
3. Weather Analysis
4. Machine Analysis

Financial Analysis

I am learning about new techniques where statistics can be applied in the financial domain and here are some projects that I have completed in financial analysis

1. An analysis of global economic crises which happened from 2000-2020
2. Hedging strategy which I have developed using concepts of statistics
3. Stock Price predictions using concepts of statistics

SQL

I can perform data analysis by framing the appropiate SQL queries which yield the desired output. I am also comfortable with deploying SQL databases on the internet by using the Relational Data Store service or SQL service on GCP

Statistics

I have a good amount of knowledge of statistical concepts like

1. Mean
2. Median
3. Mode
4. Standard Deviation
5. Kurtosis
6. Correlation
7. Covariance
8. Hypothesis Testing

Statistics

I have learnt various machine learning algorithms as a part of my course and some of them are:

1. Linear Regression
2. Logistic Regression
3. PCA
4. Weighted Linear Regression
5. ANOVA
6. MANOVA
7. Neural Networks

Data Analysis

I am working on various data analysis projects and some of them are:

1. A Medium blog on Comparision of SQL and Pandas for data analysis which has also been published on Analytics Vidhya

Amazon Web Services

I can deploy streamlit and flask web applications on AWS and I can also create databases and servers on AWS
Some of the services in AWS which I can comfortably use are:

1. RDS
2. Lambda
3. EC2
4. Elastic Beanstalk

Machine Learning

I have coded an end to end machine learning project with deployment also.
HousingRentPrediction
This is an end to end machine learning project which consists of a web app which fetches the data from a SQL database on the cloud and predicts the rent prices in 8 different cities in India using a machine learning model in it's backend. This project allows the users to contribute to the data and retrains its machine learning model every month to serve up-to-date and latest predictions about the rent. This project also provides detailed analysis of various aspects of the houses in each city as well as the detailed overall analysis comparing all the cities. This project is deployed on a server using nginx and gunicorn and hosted on a domain.
Source Code
HousingRentPrediction website
Medium Blog of the project

Writing Blogs

I also write some data science blogs as a hobby and I am also a writer at Analytics Vidhya
Here are some of the blogs that I have written on Medium

1. A blog on comparison of Pandas vs SQL for data analysis
2. Visual and Mathematical intuition behind the concept of correlation
3. Mathematical intuition behind the concept of Univariate Linear Regression
4. Mathematical intuition behind the concept of Multivariate Linear Regression
5. A detailed blog about the assumptions behind calibrating the regression model and their validation
6. A blog about the issue of multicollinearity and its solution
7. A blog about structural break in the dataset and how to remove it
8. A blog about the technique of Gradient Descent and how it is applied in Linear Regression
9. A blog which explains the concept of neural networks from scratch and also shows the python implementation of it