Data_Science_Portfolio

Data Science Aspirant

View the Project on GitHub aniket-chakraborty2001/Data_Science_Portfolio

Aniket Chakraborty

A final year MSc Data Science Student at Manipal Academy of Higher Education. Start my data science journey back in 2019 with Mathematics. I completed over 15 self hosted projects and some professional certificate courses so far.

My Skiils

Python
SQL
R Programming
Tableau
ChatGPT
PowerPoint
Spreadsheet

Educational Qualification

Baranagore Ramakrishna Mission Ashram High School (2007-2017)
Baranagore Narendranath Vidyamandir (2017-2019)
Ramakrishna Mission Vivekananda Centenary College (2019-2022) (BSc(H) in Mathematics)
Manipal Academy of Higher Education (2022- present) (MSc in Data Science)

My Certificate Courses

Courses Learned in Data Science Carrer

Python for Data Science
R for Data Science
Mathematics for Data Science
Statistics
SQL
Time Series Analysis
Machine Learning
Deep Learning
Simple and Multiple Linear Regression
Logistics Regression
Natural Language Processing
Computer Vision
Report Writing

My Data Science and Data Analysis Projects

Project-1: IMO Exam Score

Python is used to complete the project
Timeline: May, 2023
A simple data analysis project, comes under EDA
Pandas, numpy and Matplotlib libraries are used
Comparison of numbers scored by one person in different years using graphs

Project-2: Fitbit Analysis

Python is used for this project
Timeline: September, 2023
A simple EDA project
General data science libraries are used
Help to underdstand and analyse the regular human vitals captured by smart wtches

Project-3: Health Data Analysis

R programming language is used
Timeline: May, 2023
Basic data science libraries such as tidyverse, ggplot2 and splyr are used
EDA is done to render underlying hidden information and patterns
The most important inference is that the patients in age range 20-25 are most affected by Diabetics, this may be a reason of bad food habit

Project-4: Canadian Immegration

Python is used
Timeline: December, 2023
Standard Data science python libraries are used
This project shows the rate of Immegration to Canada from 1980 onwards
Some unique plots such as Area plot, Regression Plot, Bubble plots are used
Inspired from IBM Data Science Data Visualization Segment

Project-5: WorldCup 2K23 Data Analysis

Softwares used - Python, SQL, Tableau
Timeline: November, 2023
Data analysis on real life original data derived from google
Infer why India and Australia are the finalist
Discover some hidden pattenrs inside the data

Project-6: Map Pointing

Python Folium is used
Timeline: November, 2023
Pointed some important cities in India Map
Use latitude and longitude to point out a position

Project-7: Statistical Analysis of Data

Python programming language
Timeline: September, 2023
T test to check whether the group means are equal or not

Project-8: Simple and Multiple Linear Regression

R programming is used
Timeline: May, 2023
In R, lm() function is used to build the model
The adjusted R-2 Score is important to know model accuracy
P value determines a feature is important or not
If P value is larger than significance level (0.05), we reject that feature from our linear relationship assumption

Project-9: Binary Logistics Regression

R programming is used
Timeline: May,2023
In R, we use glm() function to conduct this
Deals with probability
Values ranges between 0 and 1

Project-10: Factorial Design

R programming is used
Timeline: June,2023
The factors are in the form of l^f
Used when there are more than one factors and they have one or more than one levels
They have a special geometric shape depending on the number of factors and levels

Project-11: Plotting of some Mathematical Functions

Use of python programming
Timeline: December, 2023
Use of python plotting functions such as matplotlib and seaborn
Use of def() class to define functions

Project-12: Properties of Polygon

Use of python programming
Timeline: August, 2023
Def() class is used to define interior and exterior angles
Each interior angle can’t exceed 180 degrees

Project-13: Machine Learning Regression Analysis

Python programming is used
Timeline: December, 2023
ML library scikit Learn is used in this project
To check accuracy metrics module is used
Supervised Machine Learning Process
The Regression is conducted by using Training and Test set

Project-14: Classification- KNN

Python Programming is used
Timeline: December, 2023
Sklearn is used with Knnclassifier
Metrics module is used to check accuracy
Supervised Machine Learning Process

Project-15: Decision Tree Classifier

Python Programming is used
Timeline: December, 2023
Sklearn Decision Tree classifier is used
Supervised Machine Learning process
Metrics module is used to get the accuracy

Project-16: K-Means Clustering Algorithm

Python is used in this project
Timeline: March. 2024
Sklearn’s KMeans, metrics are used
WSS are calculated to create elbow plot
Silhouette Scores are calculated to observe optimal number of clusters
Cluster profiles are created along with Z score profiles

Project-17: Agglomerative Clustering In Python

Python is used in this project
Timeline: March, 2024
Just like Clustering (K-Means), for this project, the data in hand must be numeric and scaled (Z-transformed)
Sklearn is not used. Instead I use scipy’s dendrogram and linkage modukle
It is clear how the tree like structrure is formed.

Project-18: Australian Rain Prediction ML Project

Python is used to complete the project
Timeline: March, 2024
Linear Regression, Logistic Regression, KNN, Decision Tree, SVM
MAE, MSE, R2, Accuracy, Jaccard Index, F1 score, Log Loss, confusion_matrix
numpy, pandas, matplotlib, sklearn, itertools, warnings, os, magic functions

Project-19: Statistical Test on Python

Python Numpy, Pandas, Seaborn, Matplotlib, Scipy is used
Boxplopts and Histograms are used to analyse the distribution
Normality Check is done using the Shapiro test
T test is done both on Gender and Test scores
Correlation Plot is calculated to know th pairwise correlation between scores using heatmap function.
Timeline: May, 2024