Prakash Rawat

Entry-level Data Analyst

India

Profile Score

About

Entry-level Data Analyst with practical experience in SQL, Python, Excel, Power BI, and Tableau. Proficient in data cleaning, data transformation, exploratory data analysis (EDA), dashboard development, data modeling, KPI reporting, and business intelligence. Adept at translating complex datasets into actionable insights to support data-driven decision-making.

Skills & Expertise (25)

Python Intermediate

7.5/10

Years Exp

Pandas Intermediate

7.5/10

Years Exp

Exploratory Data Analysis (EDA) Intermediate

7.3/10

Years Exp

Data Cleaning Intermediate

7.1/10

Years Exp

Excel Intermediate

7.0/10

Years Exp

Dashboarding Intermediate

7.0/10

Years Exp

Interactive Dashboards Intermediate

7.0/10

Years Exp

Power BI Intermediate

7.0/10

Years Exp

Data Transformation Intermediate

6.8/10

Years Exp

Seaborn Intermediate

6.8/10

Years Exp

Matplotlib Intermediate

6.8/10

Years Exp

NumPy Intermediate

6.8/10

Years Exp

DAX Intermediate

6.5/10

Years Exp

Power Query Intermediate

6.5/10

Years Exp

Data Modeling Intermediate

6.5/10

Years Exp

KPI Reporting Intermediate

6.5/10

Years Exp

Pivot Tables Intermediate

6.5/10

Years Exp

VLOOKUP Intermediate

6.5/10

Years Exp

Charts Intermediate

6.5/10

Years Exp

Tableau Intermediate

6.5/10

Years Exp

SQL Intermediate

6.4/10

Years Exp

Aggregations Intermediate

6.2/10

Years Exp

Joins Intermediate

6.2/10

Years Exp

Subqueries Intermediate

5.8/10

Years Exp

Window Functions Intermediate

5.8/10

Years Exp

Work Experience

Data Analyst

Credit Card Analysis

Mar 2025 - May 2025

Cleaned, validated, and transformed datasets using Power Query to ensure reporting accuracy. Designed interactive dashboards to analyze customer behavior, revenue trends, and card performance. Identified Blue Card as the highest interest revenue contributor (82.8%) and acquisition cost driver (91.2%). Evaluated cost structures and identified Platinum Card as the most cost-effective option with 0.70% annual fees.

Data Analyst

Zomato Order Analysis

Jun 2025 - Aug 2025

Performed data cleaning, preprocessing, and feature analysis using Pandas and NumPy. Conducted exploratory data analysis (EDA) using Matplotlib and Seaborn to identify trends and patterns. Identified evening hours as peak demand periods to support operational planning. Analyzed delivery performance metrics and assessed traffic density impact on delivery timelines.