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sowmya pikkili

@sowmyapikkili

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Aspiring data analyst skilled in Python, SQL, visualization, and machine learning.

India

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What I'm looking for

I seek an entry-level data role where I can apply Python, SQL, ML, and visualization to derive business insights, grow technically, and contribute within a collaborative, learning-focused team.

I am a motivated B.Tech graduate in Computer Science (AI & ML) focused on turning data into actionable insights. I combine strong fundamentals in machine learning and data analytics with practical experience in Python, SQL, and visualization tools.

During internships I optimized SQL queries to improve data retrieval speed by 30% and performed exploratory data analysis that improved reporting accuracy by 15%. I have hands-on experience building models — including a CNN for driver drowsiness detection with 85% accuracy — and integrating real-time solutions with OpenCV.

I build interactive dashboards and visualizations using Power BI and Excel to communicate findings clearly to stakeholders, and I am comfortable working with Jupyter, Google Colab, and common ML libraries like NumPy, Pandas, scikit-learn, and Matplotlib.

I am eager to contribute to data-driven teams where I can apply my technical skills, continue learning, and help solve real-world problems through analytics and machine learning.

Experience

Work history, roles, and key accomplishments

MySQL Intern

Excelr

Dec 2024 - Apr 2025 (4 months)

Completed a 16-week MySQL internship optimizing SQL queries to improve data retrieval speed by 30% and performed EDA that improved reporting accuracy by 15%.

MySQL SQL Optimization Python Pandas Data Reporting Performance Data Cleaning

AI/ML Intern

Excelr

May 2024 - Sep 2024 (4 months)

Completed an 8-week AI/ML internship applying supervised and unsupervised techniques and using libraries such as NumPy, Pandas, scikit-learn, and Matplotlib to analyze datasets.

Machine Learning scikit learn NumPy Pandas Matplotlib Supervised Learning Unsupervised Learning Model Evaluation

Project: Driver Drowsiness

Personal Project

Built a CNN model achieving 85% accuracy to detect driver drowsiness and integrated it with OpenCV for real-time monitoring and alerting.

CNN OpenCV Deep Learning Computer Vision TensorFlow Keras data preprocessing Real Time Systems

Data Analytics Intern

Codveda Technologies

Cleaned, processed, and analyzed diverse datasets using Python to uncover insights and designed interactive dashboards to communicate KPIs for decision-making.

Python Pandas NumPy Data Cleaning Power BI Tableau Data Visualization

Education

Degrees, certifications, and relevant coursework

Sri Venkateswara College of Engineering

Bachelor of Technology, Computer Science (Artificial Intelligence and Machine Learning)

2021 - 2025

Grade: 7.92/10 CGPA

Pursuing/completed a Bachelor of Technology in Computer Science and Engineering with specialization in Artificial Intelligence and Machine Learning, achieving a 7.92/10 CGPA.