Hi, There I'm

Arom
Khadka

Data Analyst | Aspiring Data Scientist | Educator

"I turn data into insights and insights into decisions."

Arom Khadka

About Me

I'm a data professional and educator based in Kathmandu, Nepal. With hands-on experience in data analysis, visualization, and dashboard development, I translate messy datasets into clear, actionable business narratives. My toolkit spans SQL, Excel, Power BI, and Python โ€” and I approach every problem with both analytical rigor and creative storytelling.

Beyond data, I'm passionate about education. Having taught computer science at secondary level, I believe in making complex concepts approachable and practical. My students leave with not just theory, but real-world skills they can apply immediately.

Full NameArom Khadka
Date of Birth27 October 2001
GenderMale
LocationBalkot, Kathmandu
HometownKalaiya, Bara
Phone+977 9821-213-770 / 9766-554-1738
WhatsApp9821-213-770
Emailaromkhadka@gmail.com

Skills & Tools

๐Ÿ“Š

Data Skills

Data Cleaning
Exploratory Data Analysis
Data Visualization
Dashboarding
โš™๏ธ

Technical Skills

SQL (MySQL)
Microsoft Excel
Power BI
Python
๐Ÿ› 

Tools

VS Code
Git & GitHub
Postman
Docker

Experience

May 2026 โ€“ Present

Computer Teacher

Arniko Int SS/College

May 2026 โ€“ Present

Computer Teacher

Balbatika SS

Jan 2024 โ€“ March 2026

IT & Data Management Associate

Dolphin Education Consultancy

Dec 2023 โ€“ Jan 2025

Secondary Computer Teacher

Sanskar Gurukul

Feb 2024 โ€“ May 2024

Frontend Developer Intern

Ayata Incorporation

Projects

01
SQL Python Power BI

Football Performance Analysis

Problem

Football clubs struggle to quantify player performance and compare metrics across seasons without time-consuming manual analysis.

Approach

Collected match data from public datasets. Cleaned and normalized data with Python (Pandas), performed exploratory analysis on key KPIs (goals, assists, pass accuracy), and visualized patterns using Power BI.

Results

Identified top-performing players by position, revealed tactical patterns, and delivered an interactive dashboard enabling coaches to filter stats by season, position, and club.

View on GitHub โ†’
02
SQL Excel Power BI

Telecom Churn Analysis

Problem

A telecom company faced rising customer churn with no clear understanding of which customer segments were most at risk or why they were leaving.

Approach

Analyzed customer demographics, contract types, billing data, and usage patterns. Used SQL for aggregations, Excel for pivot analysis, and Power BI for churn segmentation dashboards.

Results

Pinpointed high-risk segments (month-to-month contracts, new customers), identified top churn drivers, and provided actionable retention strategies that reduced projected churn by 18%.

View on GitHub โ†’

Dashboards

๐Ÿ“Š

Football Performance
Dashboard

Football Analytics Dashboard

Business Problem

Coaches needed a unified view of player KPIs across a full season to make data-driven tactical decisions.

Key Insights
  • Top scorer contributed 34% of total goals
  • Pass accuracy correlated 0.78 with win rate
  • Midfielders showed highest variance in performance
Power BI
๐Ÿ“‰

Telecom Churn
Dashboard

Telecom Churn Dashboard

Business Problem

Management needed real-time visibility into churn rates and at-risk segments to prioritize retention campaigns.

Key Insights
  • Month-to-month contracts had 42% churn rate
  • First 3 months are highest churn risk window
  • Senior citizens churned 2ร— the average rate
Power BI

GitHub Repositories

Fetching repositories from GitHub...

Get In Touch

๐Ÿ“
Location

Balkot, Kathmandu, Nepal

๐Ÿ“ž
Phone

+977 9821-213-770

+977 9766-554-1738

๐Ÿ’ฌ
WhatsApp

9821-213-770