Rishi Chauhan

Aspiring Data Scientist | Data Analyst
Jaipur, IN.

About

Highly motivated and detail-oriented Artificial Intelligence and Data Science student with a strong foundation in data analytics, machine learning, and web development. Eager to leverage practical experience in Python, SQL, Pandas, and Power BI to build predictive models, extract actionable insights, and contribute to impactful projects within the tech industry. Proven ability to analyze complex datasets, visualize trends, and develop solutions that drive informed decision-making and enhance operational efficiency.

Work

CRT (Career Readiness Training)
|

Data Science & Machine Learning Intern

Jaipur, Rajasthan, India

Summary

Gained practical experience in data science, focusing on end-to-end machine learning project lifecycle from data preprocessing to model evaluation.

Highlights

Applied Python libraries (Pandas, NumPy, Scikit-learn) to perform comprehensive data preprocessing and exploratory data analysis, ensuring data readiness for model development.

Developed and evaluated predictive machine learning models, demonstrating proficiency in algorithm selection and performance optimization.

YBI Foundation
|

Data Science AI-ML Intern

Jaipur, Rajasthan, India

Summary

Contributed to data science projects using real-world datasets, focusing on data preparation and insightful visualization for actionable insights.

Highlights

Executed robust data cleaning and transformation processes using Excel, SQL, and Python to ensure data integrity and accuracy for analysis.

Performed in-depth data analysis and created compelling visualizations to translate complex data into actionable insights for stakeholders.

Learn and Build
|

Front-End Developer Intern

Jaipur, Rajasthan, India

Summary

Acquired foundational skills in front-end web development through hands-on projects, building responsive and interactive user interfaces.

Highlights

Developed dynamic web pages and user interfaces using HTML, CSS, and JavaScript, ensuring cross-browser compatibility and responsiveness.

Gained practical experience in modern front-end development practices, contributing to a solid understanding of web architecture and user experience.

Education

Arya College of Engineering
Jaipur, Rajasthan, India

Bachelor of Technology

Artificial Intelligence & Data Science

Tagore Public School
Jaipur, Rajasthan, India

Senior Secondary School

Physics, Chemistry, Mathematics (PCM)

Languages

English

Certificates

Data Analytics

Issued By

Microsoft & LinkedIn

Business Analytic

Issued By

Microsoft & LinkedIn

Power BI

Issued By

WS Cube Tech

Front End Development

Issued By

Learn&Build

Data Science and AIML

Issued By

YBI Foundation

Excel for Data Analysis

Issued By

WS Cube Tech

Skills

Data Visualization

Matplotlib, Seaborn, Power BI, Tableau, Excel, Streamlit.

Programming Languages

Python, C, C++, HTML, CSS, JavaScript.

Data Science & Machine Learning

Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch, NLTK, LDA, VADER, Regression, Classification, Clustering, Dimensionality Reduction, Ensemble Learning.

Databases & Web Frameworks

SQL, MySQL, Flask.

Development Tools & Platforms

GitHub, Google Colab, Jupyter Notebook, Kaggle, AI-Tools (ChatGPT, Copilot), Tkinter, Socket Programming, OpenCV.

Interests

Teamwork & Discipline

Sports Participation, Collaboration.

Problem Solving & Innovation

Hackathons, Coding, Collaborative Skills.

Leadership & Event Management

College Event Coordination, Leadership Development.

Projects

Customer Loyalty Prediction

Summary

Developed a machine learning model to classify customers as loyal/disloyal, leveraging Python and key libraries for data processing and modeling.

Mental Health Trend Analysis

Summary

Performed sentiment analysis and topic modeling on Reddit data, visualized through an interactive Streamlit dashboard.

Real-time Chat Application

Summary

Engineered a real-time chat application in Python using socket programming for client-server communication and a user-friendly Tkinter GUI.

Amazon Data Analysis

Summary

Analyzed a comprehensive Amazon product dataset to identify sales trends, customer preferences, and pricing patterns.