I help organisations uncover patterns hidden in their data — through Business intelligence dashboards, predictive models, and clear storytelling using SQL, Python, Tableau & Excel.
I'm Binit Kumar Karn, a Data Analyst based in Kathmandu, Nepal with 1.5+ years of experience across data analysis and sales operations. I currently worked as an MIS Executive & Sales Support Officer at Titan International Pvt. Ltd., building on the foundation I set as a Data Analyst at KI Media Service — a branding and offline media company.
At Titan, I drive data-backed decisions in incentive calculation, dealer performance, and market share analysis, while managing MIS reporting, CRM tracking, and NAV (ERP) updates. Earlier, I built and maintained business intelligence dashboards, tracked campaign ROI, and supported data-driven decisions across branding and tender projects using Machine Learning, Tableau, SQL, Python, and Excel.
Actively looking to transition into a Data Analyst, Business Analyst, or Junior Data Scientist role at a technology-driven organisation, where I can turn hands-on business experience into deeper analytical impact.
Tools and techniques I use to deliver insights that move businesses forward.
Advanced Excel, Tableau Public dashboards reporting for business decisions.
Complex queries, joins, window functions, and ETL pipelines for data extraction.
Data wrangling, EDA, feature engineering, and statistical analysis with pandas.
Hypothesis testing, probability, regression analysis, and A/B testing for data conclusions.
Classification, regression, and clustering models with proper evaluation and business interpretation.
Git version control, Docker containerisation, and Google Sheets for collaborative workflows.
Real industry work that shaped my analytical thinking and business communication skills.
Self-learning projects built to sharpen real analytical skills — each with documented code on GitHub.
Built end-to-end sales analytics using SQL and Tableau Public. Practised data cleaning, joins, KPI visualisation, and calculated fields on a public retail dataset.
View on GitHubEDA and feature engineering on 20,000+ telecom records. Logistic regression model achieving 85% accuracy. Documented findings in structured notebook.
View on GitHubDeployed LLM chatbot using LangChain and Docker. Built ETL pipeline to log and analyse 50+ daily queries — practising data storage and pipeline design concepts.
View on GitHubActively looking for Data Analyst, Business Analyst, or Junior Data Scientist roles in Kathmandu and remotely across Nepal.