Dipendra Limbu
@dipendralimbu
Data Analyst-- Driving business decisions through actionable Insights.
What I'm looking for
I turn technical findings into decisions people can act on — starting with what a decision-maker needs to know, confirming the data can actually answer it, and finishing with a recommendation.
In recent projects I found that a retailer’s largest customer segment wasn’t its most valuable one, and that a scholarship programme reliably drove enrolment while having no measurable effect on student progression — the kind of finding that changes where money goes.
What I bring:
A decision-first approach that keeps the choice someone needs to make in view.
Python and Excel to clean and prepare data, with working SQL knowledge for querying.
Regression, hypothesis testing, and segmentation in Python and R to separate signal from noise.
Interactive Tableau dashboards that make findings clear to stakeholders.
Comfortable presenting findings and defending the reasoning behind them.
Most interested in work where data shapes future strategy rather than only reporting on the past. Happy to work hours that overlap with teams in Asia, Australia, Africa, Europe, or North America.
🧰 Core Skills
Data Cleaning & Preparation
Exploratory Data Analysis (EDA)
Statistical & Sentiment Analysis
Visualization & Dashboard Design
Data Storytelling for Business Decisions
Experience
Work history, roles, and key accomplishments
Business Development Officer
Dryice solutions
Aug 2019 - Sep 2019 (1 month)
Worked analytically with product development, created marketing materials, and interacted with senior management and the development team to improve IT products.
Research Business Analyst/Business Developer
VentureFusion
May 2018 - Oct 2018 (5 months)
Conducted desk research, created new models and analytical frameworks, and wrote a blog article on tokenomics and staking.
Education
Degrees, certifications, and relevant coursework
The London School of Economics and Political Science (LSE)
Professional Certificate- Career Accelerator, Data Analytics
2024 - 2025
Grade: Distinction
This career accelerator is designed by LSE faculty from the Departments of Methodology and Statistics in collaboration with FourthRev, Industry experts and Leading
Technology companies to align programme outcomes with Industry demand.
Course 1: Data analytics with business
Course 2: Data analysis with Python
Course 3: Advanced analytics for organisational impact
Course 4: Live Employer project
Copenhagen Business School
Master of Science, Economics and Business Administration
2014 - 2016
Grade: CBS Scholarship recipient
Studied Economics and Business Administration with a focus on strategy, organization, and leadership. Recipient of the CBS Scholarship, awarded to less than 3% of applicants, and selected for an exclusive talent program organized by CBS Career Centre.
Copenhagen Business School
Bachelor of Science, Business Administration and Service Management
2012 - 2014
Grade: Top 3% GPA
Completed a Bachelor of Science in Business Administration and Service Management, graduating in the top 3% of the class.
CPH Business Academy
Associate Professional Degree, Marketing Management
2010 - 2012
Earned an Associate Professional degree in Marketing Management, focusing on foundational marketing principles and practices.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Portfolio
dkl59.github.io/Dipendra-LimbuSocial media
Job categories
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