𝗔𝗕𝗢𝗨𝗧     𝗣𝗥𝗢𝗝𝗘𝗖𝗧𝗦     𝗡𝗢𝗧𝗘𝗕𝗢𝗢𝗞𝗦     𝗖𝗘𝗥𝗧𝗜𝗙𝗜𝗖𝗔𝗧𝗘𝗦     𝗔𝗖𝗛𝗜𝗘𝗩𝗘𝗠𝗘𝗡𝗧𝗦     𝗖𝗢𝗡𝗧𝗔𝗖𝗧

About

Hi 👋, I'm Mrityunjay Pathak

I am a dedicated Data Scientist with a knack for uncovering patterns and trends that drive smarter decisions.

🎯 Tools and Technologies

• Programming : I'm skilled in using Python, a powerful language for data science and data analysis.

• Libraries : I'm familiar with essential libraries like NumPy (for numerical operations), Pandas (for data manipulation), and Matplotlib/Seaborn (for visualizing data).

• Machine Learning : I'm familiar in various machine learning techniques like Regression (predicting values), Classification (sorting data into categories), Clustering (grouping similar data), Dimensionality Reduction (simplifying complex data), and Model Selection (choosing the right predictive model).

• Database : I can work with MySQL, a popular database system to handle and retrieve data effectively.

• BI Tool : I'm proficient in using Microsoft Power BI, a tool that helps in turning data into actionable insights through interactive visualizations.

• Version Control : I'm familiar with Git, which helps in keeping track of changes in code and collaborating effectively with a team.

• Web Application : I have experience working with Streamlit, an open-source Python library that makes it easy to create custom web apps for machine learning and data science.

• Web Development : I also have some knowledge in web development, specifically HTML and CSS.

📫 Connect with Me

Kaggle   |   LinkedIn   |   GitHub   |   HackerRank   |   Portfolio

Projects

🗃️ Machine Learning

Car Price Prediction

Dataset : Car Price Dataset → Web App : Car Price Prediction App

To develop a Machine Learning Model that can accurately predict the prices of used cars based on various features and attributes.

Spaceship Titanic Classification

Dataset : Spaceship Titanic Dataset → Web App : Spaceship Titanic App

To predict whether a passenger was transported to an alternate dimension during the Spaceship collision with the spacetime anomaly.

🔍 Exploratory Data Analysis

Super Market Sales Analysis

Dataset : Super Market Sales Dataset → Web App : Super Market Sales App

To analyze sales data and gain insights into customer purchasing behavior, product performance and overall trends of the supermarket business.

📊 Microsoft Power BI

Retail Store Sales Dashboard

Dataset : Retail Store Sales Dataset

To design a Retail Store Sales Dashboard that provides a clear and concise overview of the Store's Sales performance enabling the owner to gain actionable insights.

Finance Report Dashboard

Dataset : Finance Report Dataset

To create a visually appealing dashboard that provides an overview of the company's financial metrics enabling stakeholders to make informed business decisions.

Covid Pandemic Analysis

Dataset : Covid Pandemic Dataset

To create a comprehensive and interactive COVID-19 Dashboard that provides meaningful insights and analysis of the pandemic's impact.

India Population Analysis

Dataset : India Population Dataset

To provide insights and visualizations that help stakeholders understand the population dynamics, trends and patterns across various demographic factors.

Notebooks

📕 Data Science

Click Here

• Python

• NumPy

• Pandas

• Matplotlib

For more Details → Go to Data Science Repository

📗 Machine Learning

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• Linear Regression

• Logistic Regression

• Decision Trees

• Random Forests

• Support Vector Machines (SVM)

• K-Nearest Neighbors (KNN)

• K-Means Clustering

• K-Fold Cross Validation

• Naive Bayes

• Principal Component Analysis (PCA)

• Bagging Ensemble

• Saving Model to a File

For more Details → Go to Machine Learning Repository

📘 Feature Engineering

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• Dummy Variable

• Inter Quartile Range

• Z-Score

• Modified Z-Score

• Data Standardization

• Handling Imbalance Dataset

For more Details → Go to Feature Engineering Repository

📙 Structured Query Language

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• SQL Basics

• SQL Statements

• LIMIT, DISTINCT, ORDER BY Clause

• SQL WHERE Statement

• SQL Logical Operators

• SQL Joins

• SQL Aggregation - 1

• SQL Aggregation - 2

• SQL Aggregation - 3

• SQL Sub-Queries and Window Function

For more Details → Go to SQL for Data Science Repository

📓 Machine Learning Mathematics

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• Linear Algebra

• Introduction to Matrices

• Matrix Operation using Python

• Geometry

• Distance Metrics

• Similarity Measures

• Box Cox Transformation

• Statistics

• Basics of Statistics

• Descriptive Statistics with Python

• Bias and Variance

• Covariance and Correlation

• Normal Distribution

• Hypothesis Testing

• Probability

• Introduction to Probability

• Probability Distribution

• Calculus

• Introduction to Calculus

For more Details → Go to Machine Learning Mathematics Repository

Certificates

📃 HackerRank Certificates

📃 Kaggle Certificates

Achievements

5 ⭐ Python HackerRank	5 ⭐ SQL HackerRank	Kaggle Master

Contact

E-Mail   |   Phone   |   Resume

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