Suraj

Aspiring Data Analyst

Bangalore, Karnataka, India 0+ yrs exp 82 · Excellent

About

Detail-oriented MBA graduate and certified Data Analyst with hands-on experience in analytics training, data storytelling, and statistical modeling. Adept at leveraging tools like Power BI, Python, SQL, and R to build impactful dashboards, derive actionable insights, and support data-driven decisions. Strong communication and presentation skills, with a passion for training delivery, content development, and continuous learning in the business analytics space. Willing to travel extensively (up to 50%) for client-site training delivery and analytics projects, and committed to high-quality execution.

Skills & Expertise (24)

Power BI Desktop Intermediate

6.5/10

Years Exp

Python Intermediate

6.5/10

Years Exp

Advanced Excel Intermediate

6.0/10

Years Exp

Data Cleaning Intermediate

6.0/10

Years Exp

SQL Intermediate

6.0/10

Years Exp

Data Visualization Intermediate

6.0/10

Years Exp

SQL Server Intermediate

5.5/10

Years Exp

Data Storytelling Intermediate

5.5/10

Years Exp

MySql Intermediate

5.5/10

Years Exp

Power Query Intermediate

5.5/10

Years Exp

Power BI Service Intermediate

5.5/10

Years Exp

Tableau Intermediate

5.5/10

Years Exp

DAX Intermediate

5.0/10

Years Exp

Data Modelling Intermediate

5.0/10

Years Exp

MS Office Suite Intermediate

5.0/10

Years Exp

VBA Intermediate

5.0/10

Years Exp

Macros Intermediate

5.0/10

Years Exp

Jira Intermediate

5.0/10

Years Exp

Agile Methodology Intermediate

5.0/10

Years Exp

Client Training Intermediate

5.0/10

Years Exp

Big Data Beginner

4.5/10

Years Exp

Statistical Analysis Beginner

4.5/10

Years Exp

SAS Beginner

4.0/10

Years Exp

Machine Learning Beginner

4.0/10

Years Exp

Work Experience

Data Analyst Intern

Ai Variant

Jun 2024 - Mar 2025

Conducted an in-depth analysis of 200,000 hotel booking records, identifying trends in occupancy, revenue, and customer behavior to drive strategic decision-making. Identified a 24.83% cancellation rate, suggesting actionable improvements to cancellation policies, with potential to increase annual revenue by ₹1 lakh. Discovered a 37% higher weekday revenue compared to weekends, leading to targeted weekend promotional strategies to optimize occupancy. Optimized customer segmentation by uncovering that 45% of bookings were from premium customers, enabling tailored service enhancements. Recommended strategies to increase weekend occupancy (64%), driving higher revenue generation during off-peak periods. Developed predictive models using Python to forecast booking trends and revenue, achieving 90% accuracy and enabling proactive strategy formulation for peak and off-peak periods.