Shubham Sharma

Data Analyst

Delhi, India 0+ yrs exp 81 · Excellent

About

Data Analyst with hands-on internship experience cleaning and analyzing datasets of 1,000+ records using SQL, Python (Pandas, NumPy) and Power BI. Built dashboards and automated reports that cut manual reporting time by up to 30% and surfaced clear, actionable business insights. Seeking an entry-level Data Analyst role to apply strong analytical and problem-solving skills.

Skills & Expertise (25)

Python Intermediate

8.0/10

Years Exp

Microsoft Excel Advanced

8.0/10

Years Exp

Data Cleaning Advanced

8.0/10

Years Exp

Pandas Intermediate

7.5/10

Years Exp

SQL Intermediate

7.5/10

Years Exp

Data Visualization Intermediate

7.5/10

Years Exp

NumPy Intermediate

7.0/10

Years Exp

MySql Intermediate

7.0/10

Years Exp

Statistical Analysis Intermediate

7.0/10

Years Exp

Pivot Tables Intermediate

7.0/10

Years Exp

Dashboard Design Intermediate

6.5/10

Years Exp

Power BI Intermediate

6.5/10

Years Exp

VLOOKUP Intermediate

6.0/10

Years Exp

Tableau Intermediate

6.0/10

Years Exp

Report Automation Intermediate

6.0/10

Years Exp

OOP Concepts Intermediate

6.0/10

Years Exp

Inheritance Intermediate

6.0/10

Years Exp

Polymorphism Intermediate

6.0/10

Years Exp

Encapsulation Intermediate

6.0/10

Years Exp

HTML Intermediate

5.0/10

Years Exp

CSS Intermediate

5.0/10

Years Exp

JavaScript Intermediate

5.0/10

Years Exp

React.js Beginner

4.5/10

UI Beginner

4.0/10

Wordpress Beginner

4.0/10

Work Experience

Data Analyst Intern

Webmiz Digital Solutions

Jan 2026 - Present

Cleaned and processed sales datasets covering 500+ records across region, month, and product using Excel and Python, improving data accuracy by an estimated 25%. Identified top-performing products and regions through comparative sales analysis, presenting findings in 3 stakeholder reports. Analyzed social media performance data (Instagram, Facebook, LinkedIn) across 200+ posts to recommend optimal posting times, contributing to a 15% increase in engagement. Applied OOP concepts (Inheritance, Polymorphism, Encapsulation) to build reusable Python data-processing scripts, reducing repetitive coding effort.