Vaibhav Bansal

Data & Business Analyst

Arlington, TX 0+ yrs exp 82 · Excellent

About

Data & Business Analyst with experience leveraging data to drive business decisions, improve operational efficiency, and identify growth opportunities through analytics and reporting. Skilled in SQL, Python, Excel, Tableau, and Power BI, transforming complex data into actionable insights and supporting cross-functional decision-making.

Skills & Expertise (23)

NLP Intermediate

7.0/10

Years Exp

Hugging Face Transformers Intermediate

7.0/10

Years Exp

Python Intermediate

6.5/10

Years Exp

SQL Intermediate

6.5/10

Years Exp

Microsoft Excel Intermediate

6.0/10

Years Exp

Azure Intermediate

6.0/10

Years Exp

TensorFlow Intermediate

6.0/10

Years Exp

Alteryx Intermediate

6.0/10

Years Exp

Snowflake Intermediate

6.0/10

Years Exp

scikit-learn Intermediate

6.0/10

Years Exp

PyTorch Intermediate

6.0/10

Years Exp

Tableau Intermediate

6.0/10

Years Exp

Excel Intermediate

6.0/10

Years Exp

Power BI Intermediate

5.5/10

Years Exp

Streamlit Intermediate

5.0/10

Years Exp

Gemini AI Beginner

4.0/10

Years Exp

pdfplumber Beginner

4.0/10

Years Exp

Java Beginner

4.0/10

Years Exp

SQLite Beginner

4.0/10

Years Exp

JavaFX Beginner

3.0/10

Years Exp

Maven Beginner

3.0/10

Years Exp

IntelliJ IDEA Beginner

3.0/10

Years Exp

DBeaver Beginner

3.0/10

Years Exp

Work Experience

Data Analyst

University of Texas at Arlington

Sep 2025 - Dec 2025

Analyzed survey data collected over two semesters to evaluate student perspectives on the construction of the new University Center, transforming large volumes of unstructured responses into actionable insights. Built an end-to-end NLP pipeline using DistilBERT for text preprocessing and sentiment classification, achieving 85% accuracy and a 0.84 F1 score through model evaluation, testing, and error analysis. Developed reusable workflows for data ingestion, preprocessing, inference, and evaluation, reducing analysis and model iteration time by 40% while improving reliability and maintainability. Synthesized sentiment trends and key findings into a data-driven report and presented the results to the university newspaper, helping communicate student feedback and insights to the broader campus community.

Data Analyst Intern

Tapestry (Coach) Inc.

Jan 2025 - Aug 2025

Built automated ETL pipelines using Snowflake, SQL, and Alteryx to consolidate labor and operational data from multiple systems, improving data accuracy by 25% and reducing manual reporting time by 50%, allowing teams to access reliable metrics faster. Developed interactive Tableau dashboards to monitor workforce productivity, attendance trends, and operational KPIs, helping managers make faster data-driven decisions for labor planning and warehouse performance. Designed a real-time conveyor congestion monitoring system using TensorFlow-based computer vision and RFID data on Azure, enabling operations teams to identify bottlenecks early and reduce conveyor congestion by 30%. Collaborated with industrial engineering and operations teams to analyze workflow bottlenecks and build analytics tools that improved labor allocation, productivity tracking, and overall warehouse efficiency.