selva narmatha

AI and Data Science student

Chennai, TamilNadu 0+ yrs exp 80 · Excellent

About

A motivated AI and Data Science student with hands-on experience in machine learning, data analysis, and robotics. Proven ability to apply technical skills in Python, SQL, and computer vision through internships and practical projects, including an automated pool safety system and a voice-controlled mapping application. Eager to contribute to innovative projects and solve real-world problems using AI and data-driven solutions.

Skills & Expertise (22)

Adaptability Advanced

6.0/10

0.1

Years Exp

Self-Learning Advanced

6.0/10

0.1

Years Exp

Jupyter Notebook Intermediate

5.5/10

0.1

Years Exp

Google Collab Intermediate

5.5/10

0.1

Years Exp

Python Intermediate

5.5/10

0.1

Years Exp

Data Analysis Intermediate

5.5/10

0.1

Years Exp

Presentation Intermediate

5.0/10

0.1

Years Exp

MySql Intermediate

5.0/10

0.1

Years Exp

SQL Intermediate

5.0/10

0.1

Years Exp

Critical thinking Intermediate

5.0/10

0.1

Years Exp

Problem Solving Intermediate

5.0/10

0.1

Years Exp

VS Code Intermediate

4.5/10

0.1

Years Exp

GitHub Intermediate

4.5/10

0.1

Years Exp

Database Management System Beginner

4.0/10

0.1

Years Exp

Machine Learning Beginner

4.0/10

0.1

Years Exp

Software Engineering Beginner

4.0/10

0.1

Years Exp

Operating systems Beginner

4.0/10

0.1

Years Exp

Data Structures & Algorithms Beginner

4.0/10

0.1

Years Exp

Computer Networks Beginner

3.5/10

0.1

Years Exp

Deep Learning Beginner

3.5/10

0.1

Years Exp

R Programming Beginner

3.5/10

0.1

Years Exp

Canva

Work Experience

Data Analyst Intern

Datapattern

Jun 2025 - Jul 2025

Learned core Excel functionalities, including data cleaning, formula usage, pivot tables, and chart creation. Explored Python's Matplotlib library for data visualizations and developed interactive dashboards. Gained experience in SQL Workspace for data extraction and analysis. Designed and published Power BI dashboards.

AI Engineer Intern

Datapattern

Jun 2024 - Jun 2024

Collaborated with a data science team to develop algorithms, boosting model accuracy. Conducted data pre-processing and analysis. Applied statistical techniques and data visualization tools like Matplotlib. Fine-tuned hyperparameters for optimal model accuracy.