Pradee

Data Analyst

80 · Excellent

About

Detail-oriented and analytical Data Analyst with a background in business operations, specialized in transforming raw, multi-source data into actionable insights. Proficient in SQL, Power BI, Advanced Excel, and Python, with a proven track record of building interactive dashboards and conducting end-to-end data cleaning, trend analysis, and predictive modeling. Completed over 6 months of intensive technical upskilling and analytical internships, demonstrating strong problem-solving skills and readiness for an independent, remote data environment.

Skills & Expertise (24)

SQL Advanced

8.2/10

Years Exp

Data Analysis Advanced

8.0/10

Years Exp

Analytical Thinking Advanced

8.0/10

Years Exp

Data Cleaning Advanced

8.0/10

Years Exp

Power BI Advanced

7.8/10

Years Exp

Advanced Excel Advanced

7.5/10

Years Exp

Data Manipulation Advanced

7.5/10

Years Exp

Business insight generation Advanced

7.5/10

Years Exp

Data Storytelling Advanced

7.5/10

Years Exp

Data Integrity Validation Advanced

7.5/10

Years Exp

Interactive Dashboards Advanced

7.5/10

Years Exp

Python Intermediate

7.3/10

Years Exp

DAX Intermediate

7.0/10

Years Exp

Cross-Functional Collaboration Advanced

7.0/10

Years Exp

Pandas Intermediate

7.0/10

Years Exp

Formulas Advanced

7.0/10

Years Exp

Pivot Tables Advanced

7.0/10

Years Exp

NumPy Intermediate

6.5/10

Years Exp

Charts Intermediate

6.5/10

Years Exp

VLOOKUP Advanced

6.5/10

Years Exp

Process Documentation Intermediate

6.5/10

Years Exp

scikit-learn Intermediate

6.0/10

Years Exp

Google Sheets Intermediate

6.0/10

Years Exp

XLOOKUP Intermediate

6.0/10

Years Exp

Work Experience

Data Analyst

Superstore

Present - Present

Cleaned and organized a dataset of 9,800+ records using SQL to ensure data integrity. Built a Power BI dashboard summarizing $2.26M in sales across regions and categories. Developed DAX measures to identify a 42.85% YoY sales growth with peak performance in 2018. Uncovered a Q4 seasonality surge (~38.5% of sales) to support data-driven inventory decisions.

Data Analyst

Adidas

Present - Present

Analyzed 9,600+ sales records using SQL to evaluate regional and channel-level performance. Identified $120M in total sales, discovering that West region contributed ~30% of revenue. Found that Men's Street Footwear was the top driver, yielding ~23% of total sales. Revealed that the Online channel generated 41% of overall profit to guide marketing focus.

Data Analyst

Telco

Present - Present

Managed an end-to-end data pipeline analyzing 7,043 customers to study churn patterns and customer behavior. Cleaned data and conducted exploratory analysis using Python (Pandas) and SQL. Developed a Logistic Regression model achieving 75.16% accuracy and 82.31% recall. Isolated top churn drivers (Monthly Charges, Contract Type) to align business strategy.