Headline

Data Science & Machine Learning | Python • SQL • EDA • Streamlit | Predictive Modeling | Open to Opportunities

About

Artificial Intelligence and Data Science graduate with strong foundation in building data-driven solutions that translate into meaningful insights and real-world impact. Recently graduated with a B.Tech in Artificial Intelligence & Data Science, with practical experience in end-to-end machine learning workflows including data preprocessing, exploratory data analysis (EDA), feature engineering, model training, and evaluation. During my time at Celebal Technologies, I worked on real-world datasets, built scalable data processing pipelines using Python, and applied feature engineering techniques to improve model performance. At Unisys, I contributed to enterprise application modernization, gaining exposure to production environments and software engineering best practices. I’ve built and deployed machine learning solutions achieving: • 82%+ accuracy in credit risk prediction (deployed using Streamlit) • 84%+ accuracy in heart disease prediction (deployed using Streamlit) Beyond technical work, I’ve led robotics and tech initiatives, strengthening my ability to collaborate, lead teams, and execute ideas effectively. My areas of interest include: • Machine Learning & Predictive Modeling • Data Analytics & Insight Generation • AI-driven solutions for real-world problems 🚀 I’m currently exploring opportunities in Data Science and Machine Learning where I can contribute, grow, and build impactful solutions. Let’s connect if you’re working on interesting problems in data or AI.

Location

Jaipur

AI stack

hugging face

ollama

openai

replit

Work experience

Data Science Intern at Celebal Technologies, Jun 2025 - Jul 2025 · 2 mos, Remote, - Built Python-based data processing pipelines using OOP principles to handle structured datasets efficiently - Performed data cleaning, preprocessing, and feature engineering, improving model performance and data quality - Wrote optimized SQL queries to extract, validate, and analyze relational data - Applied EDA techniques to identify patterns and insights for model development - Experimented with Generative AI tools for prompt-based data analysis workflows

Member at Xananoids, Nov 2022 - Nov 2024 · 2 yrs 1 mo, Jaipur, Rajasthan, India

Software Development Trainee at Unisys, Jul 2024 - Sep 2024 · 3 mos, Bengaluru, Karnataka, India, - Contributed to migration of enterprise applications from .NET Framework 4.8 to .NET 8, supporting modernization - Identified and resolved compatibility and dependency issues, improving system stability - Assisted in debugging, testing, and validation, ensuring application performance and reliability - Worked in a production-level development environment, following coding standards and agile workflows - Collaborated with engineering teams, improving problem-solving and system understanding

Education

Bachelor of Technology - BTech, Artificial Intelligence and Data Science, Jaipur Engineering College and Research Centre (JECRC)

Senior Secondary (XII), Science, New Era Public Sr Sec School

Public links

github: https://github.com/avani-23