Vishnu Vk

Business Analyst

Tirupati, India 0+ yrs exp 80 · Excellent

About

ECE graduate with hands-on experience turning business needs into data-driven solutions using SQL, Python, Power BI, and Excel. Skilled in gathering requirements, analyzing workflows, and building automated pipelines and reports that improve accuracy and efficiency. Strong track record of partnering with cross-functional stakeholders to translate data into actionable insights that support business decisions.

Skills & Expertise (21)

Microsoft Excel Intermediate

6.5/10

Years Exp

Process Analysis Intermediate

6.0/10

Years Exp

Google Workspace Intermediate

6.0/10

Years Exp

MS Office Intermediate

6.0/10

Years Exp

Weekly reporting Intermediate

6.0/10

Years Exp

Cross-functional coordination Intermediate

6.0/10

Years Exp

stakeholder communication Intermediate

6.0/10

Years Exp

Google Sheets Intermediate

6.0/10

Years Exp

Data Validation Intermediate

6.0/10

Years Exp

Workflow Documentation Intermediate

6.0/10

Years Exp

Requirements Gathering Intermediate

6.0/10

Years Exp

Power BI Intermediate

5.5/10

Years Exp

SQL Intermediate

5.5/10

Years Exp

Power BI dashboards Intermediate

5.5/10

Years Exp

Python Intermediate

5.5/10

Years Exp

Root-cause analysis Intermediate

5.5/10

Years Exp

Adobe Photoshop Intermediate

4.0/10

Years Exp

Illustrator Intermediate

4.0/10

Years Exp

Figma Intermediate

4.0/10

Years Exp

Canva Intermediate

4.0/10

Years Exp

AI Prompt Engineering Beginner

4.0/10

Work Experience

Data Analyst Intern

Meetings Era

May 2024 - Jun 2024

Analyzed business requirements for an outreach campaign and designed an end-to-end mail extraction and segmentation pipeline in Python, cutting manual processing time by ~40% and enabling higher outreach volume. Segmented and enriched a database of 500+ contacts by designation across 10+ countries, improving campaign targeting precision and deliverability. Reviewed existing reporting processes and standardised weekly reporting workflows and documentation, saving 3–4 hours per week and reducing error rates. Partnered with cross-functional stakeholders to validate data accuracy, resolve discrepancies, and ensure on-time delivery of weekly analytical reports.