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Vegu Priya

@vegupriya

Message

Entry-level data scientist focused on AI/ML and data-driven KPI insights.

India

Message

What I'm looking for

I’m looking for an entry-level role where I can build trusted labeled datasets and ML-ready ETL pipelines, turn analysis into KPI dashboards, and keep improving through collaboration with cross-functional stakeholders.

I’m a Data Science & AI/ML fresher with hands-on internship experience across data labeling, data quality assurance, EDA, and multi-modal data processing (text, image, audio, video). Through IBM Data Science Professional certification, I’ve built a disciplined workflow for delivering high-quality labeled datasets and performing dialogue evaluation with sound judgment under ambiguity.

In my internships, I’ve delivered 95%-accurate labeled datasets, optimized SQL query performance (40% reduction), and reduced stakeholder reporting time by 30% using automated pipelines and KPI dashboards in Power BI. I bring strong data storytelling and structured problem-solving—supported by projects like customer churn prediction (84% accuracy) and driver fatigue detection (88% accuracy)—and I’m passionate about following SOPs while spotting error patterns and communicating actionable insights.

Experience

Work history, roles, and key accomplishments

Current

Data Analytics Intern

Current

Deloitte

Jan 2026 - Present (5 months)

Performed data labeling and annotation on 100,000+ structured records, maintaining 95% accuracy across 3 reporting cycles via data cleaning and validation workflows. Built Power BI KPI dashboards and ran multi-modal EDA in Python to reduce stakeholder reporting time by 30%.

Data Labeling Data Annotation Data Cleaning Data Quality Assurance Python (Pandas NumPy Power BI SeaBorn KPI Reporting

Database & SQL Developer Intern

First Source Solutions

Dec 2025 - Jan 2026 (1 month)

Optimized complex SQL queries (JOINs, subqueries, window functions), reducing query execution time by 40% and improving KPI reporting accuracy. Resolved 50+ data incidents through ETL validation and root-cause analysis, improving customer data accuracy to 80%.

SQL Query Optimization SQL Joins Window Functions Subqueries Data Cleaning Root Cause Analysis Data Governance

AI & Data Science Intern

Edunet Foundation

Apr 2025 - Jun 2025 (2 months)

Built end-to-end ETL pipelines and image preprocessing workflows in Python (TensorFlow, OpenCV) on 10,000+ samples, achieving 88% model detection accuracy. Conducted statistical analysis and visualized model performance in Jupyter Notebook for a team of 8, improving data storytelling and communication.