D Mrutyunjay Pradhan

Data Analyst Intern

80 · Excellent

About

Computer Science graduate (2026) with internship experience turning raw operational data into decisions — cleaning and validating messy datasets in Python and SQL, running EDA to find what is actually driving the numbers, and building Power BI dashboards stakeholders can monitor themselves.

Skills & Expertise (38)

Python Advanced

8.1/10

Years Exp

SQL Advanced

7.8/10

Years Exp

Power BI Advanced

7.6/10

Years Exp

Data Cleaning Advanced

7.5/10

Years Exp

Data Wrangling Advanced

7.5/10

Years Exp

Feature Engineering Intermediate

7.0/10

Years Exp

Statistical Analysis Intermediate

6.5/10

Years Exp

Joins Windows Subqueries CTEs Window Functions Pivot Tables XLOOKUP VLOOKUP Jupyter Git GitHub Azure AWS LINUX Ubuntu validation Model Evaluation Regression Classification Preprocessing scikit-learn Seaborn Matplotlib NumPy Pandas Dashboard Design KPI development Data Modeling DAX Power Query EDA

Work Experience

Data Analyst Intern

QSpiders

Present - Present

Cleaned, transformed and analysed operational datasets using Python (Pandas, NumPy), SQL and Excel to produce analysis-ready tables for reporting. Built Power BI dashboards end to end — Power Query transformations, star-schema data modeling, DAX measures and KPI visuals. Ran data-quality validation on gas distribution data covering timestamp normalisation, duplicate detection, unit standardisation and outlier analysis, improving reliability of downstream reporting.

Data Science Intern

PythonSoft LLP

Present - Present

Performed EDA in Python and Jupyter, handling missing values, outliers, type conversion and feature extraction across structured datasets. Built a reusable preprocessing pipeline that automated repetitive cleaning steps, cutting manual data-prep effort and standardising inputs for ML models.