Saimeghana Illa

Aspiring Software Developer

0+ yrs exp 81 · Excellent

About

Aspiring Software Developer with a strong foundation in Python, Java, SQL, and web development. Experienced in data analysis, machine learning, and Power BI through internships and academic projects. Skilled in developing practical applications, analyzing data, and creating solutions to solve real-world problems.

Skills & Expertise (24)

Power BI Intermediate

6.0/10

0.5

Years Exp

Python Intermediate

5.5/10

0.5

Years Exp

Machine Learning Intermediate

5.5/10

0.5

Years Exp

scikit-learn Intermediate

5.0/10

0.5

Years Exp

VS Code Intermediate

5.0/10

0.5

Years Exp

GitHub Intermediate

5.0/10

0.5

Years Exp

Git Intermediate

5.0/10

0.5

Years Exp

Seaborn Intermediate

5.0/10

0.5

Years Exp

Matplotlib Intermediate

5.0/10

0.5

Years Exp

Pandas Intermediate

5.0/10

0.5

Years Exp

NumPy Intermediate

5.0/10

0.5

Years Exp

SQL Intermediate

5.0/10

0.5

Years Exp

JavaScript Intermediate

4.5/10

0.5

Years Exp

CSS Intermediate

4.5/10

0.5

Years Exp

HTML Intermediate

4.5/10

0.5

Years Exp

Keras Intermediate

4.0/10

0.5

Years Exp

OpenCV Intermediate

4.0/10

0.5

Years Exp

TensorFlow Intermediate

4.0/10

0.5

Years Exp

MongoDb Intermediate

4.0/10

0.5

Years Exp

XAMPP Intermediate

4.0/10

0.5

Years Exp

YOLOv8 Beginner

3.5/10

0.5

Years Exp

ReactJS Beginner

3.5/10

0.5

Years Exp

LSTM Beginner

3.5/10

0.5

Years Exp

Java Beginner

3.5/10

0.5

Years Exp

Work Experience

Data Analytics Intern

Infosys Springboard

Oct 2025 - Dec 2025

Collected, cleaned, and transformed customer feedback data using Power Query, preparing structured data for analysis and visualization in Power BI. Analyzed customer feedback to identify sentiment, preferences, and satisfaction trends, and designed interactive Power BI dashboards with visualizations and DAX measures to track customer sentiment, product performance, and key business trends.

AIML Intern

EI Systems

May 2024 - Jul 2024

Developed a machine learning model to predict bank customer churn by analyzing customer account details and behavioral patterns, helping identify customers who may be likely to leave.