Khush Sahu

sahukhush2005@gmail.com +91 7386628935

Detail-oriented Computer Science undergraduate with hands-on experience in data analytics, business intelligence, and automation at KPMG India. Proficient in Python, SQL, Power BI, and Alteryx, with a strong foundation in machine learning, data visualization, and web development. Adept at translating complex data into actionable insights to support business decision-making.

Experience

Data Analyst Intern

KPMG Assurance and Consulting Services LLP

Jan 2026 – May 2026

Performed transaction reconciliation and validation of large-scale business datasets to maintain accuracy and consistency across reporting systems.
Developed interactive Power BI dashboards and KPI reports for clients, enabling data-driven decision-making.
Automated repetitive reporting and data processing tasks using Python scripts and Excel Macros, significantly reducing manual effort and minimizing errors.
Utilized Alteryx for data cleaning, preprocessing, transformation, and end-to-end workflow automation.
Coordinated vendor audits, conducted compliance assessments, verified documentation, and prepared detailed audit and assessment reports.
Consolidated datasets from multiple sources and delivered business intelligence reports as part of the RA-CoE team.
Completed training modules via LinkedIn Learning on Power BI, Alteryx, and business reporting tools.

Projects

Fashion E-Commerce Website

Jun 2025 – Jul 2025

Designed and developed a full-stack fashion e-commerce platform with 20+ product categories and 500+ SKUs, achieving page load times under 1.5s and 95%+ mobile responsiveness.Implemented product listings, advanced search, user authentication, shopping cart, order processing, and secure session management with password hashing and data validation.

Flight Fare Analysis

Feb 2025 – Mar 2025

Analyzed 1,000+ flight fare records to identify pricing patterns, route popularity, and seasonality trends using statistical and correlation techniques.Built visualizations with Matplotlib/Seaborn to support business decisions on travel cost optimization.

Customer Segmentation using Clustering

Mar 2024 – Apr 2024

Applied K-means clustering to segment customers by purchasing behavior; improved clustering accuracy by 18% through data preprocessing and feature scaling.Delivered segment insights that enabled businesses to tailor marketing strategies for better customer engagement.

Education

Lovely Professional University

B.Tech, Computer Science and Engineering

Aug 2022 – Present

Kendriya Vidyalaya

12th, Science

Apr 2021 – Jul 2022

Tagore High School

10th, Science

Apr 2019 – Apr 2020

Skills

Languages

PythonJavaSQLKotlinScalaC++C

Frameworks / Libraries

DjangoFlaskTensorFlowScikit-learnNumPyPandas

Analytics & BI Tools

Power BIAlteryxTableauExcel (Macros, Pivot Tables)

Tools & Platforms

GitGitHubMS ExcelMS PowerPoint

Soft Skills

TeamworkAnalytical ThinkingProblem-SolvingQuick LearnerCommunication

Certifications

Advanced Distribution Systems — NPTELOct 2024
SQL — UdemyNov 2024
Excel Skills for Business Analytics — CourseraApr 2024
Data Analysis with Tableau — CourseraMay 2024