Hi! I'm Yogesh Choudhary

And I'm a

Aspiring Data Analyst

I'm excited to apply my skills in data visualization, statistical modeling and data storytelling to drive business growth and improve decision-making.

Email :

kudiyayash31@gmail.com

Number :

8000707451

Download Resume

Let me introduce myself

About me

Hello! I'm Yogesh Choudhary, a B.Tech student in Information Technology at Government Engineering College, Ajmer. As a data enthusiast, I'm passionate about extracting insights from complex data sets and driving business decisions through data-driven solutions. With a keen interest in data analysis, I've been actively exploring the world of data science and its applications. Throughout my academic journey, I've had the opportunity to work on various projects that involve data analysis, visualization, and machine learning. These experiences have not only honed my technical skills but also deepened my understanding of the importance of data-driven decision-making in today's fast-paced business environment.

TECHNICAL AND INTERPERSONAL

My Skills

Technical Skills

Programming Languages: Python, SQL, Java

Data Analysis & Machine Learning: Pandas, NumPy, Scikit-learn, TensorFlow, LSTM

Visualization & BI: Power BI, Matplotlib, Seaborn, MS Excel

Databases: MySQL, PostgreSQL, MongoDB

Development Tools: GitHub, Jupyter, VS Code

Soft Skills

Data Storytelling

Stakeholder Communication

Project Management

Problem-solving

Team Leadership

My Recent Projects

All Data Visualization Data Analysis Python+SQL

Data Visualization

Data visualization is the graphical representation of information and data. It uses visual elements like charts, graphs, and maps to help users understand trends, patterns, and insights in the data.

Data Analysis

Data analysis is the process of examining and interpreting data to extract meaningful insights and draw conclusions.

Python+SQL

Python and SQL are commonly used together in data analysis and data science projects. Python is used for data manipulation, machine learning, and visualization, while SQL is used for querying and managing relational databases to retrieve and store data efficiently.