Data Analyst | Business Intelligence | Machine Learning
Turning Data Into Business Decisions
I'm a data analyst with 4+ years of experience. I take raw, messy data and turn it into dashboards and reports that help teams make decisions without second-guessing the numbers.
I'm a data analyst with 4+ years of experience, working mostly in SQL, Python, and Power BI — across operational, customer, and financial data. I'm IBM Data Analyst certified and hold an MSc in Computer Science from Algoma University. At APAR Nepal I cleaned and analysed 500K+ records, improved data quality by about 30%, cut manual reporting time by 20–25%, and built ETL workflows that took the repetitive work out of stakeholder reporting.
I'm a data analyst based in Edmonton, AB, Canada, with an MSc in Computer Science from Algoma University. Day to day I work in SQL, Python, and Power BI, and I spend a fair bit of time talking to stakeholders to figure out what they actually need. I'm at my best taking a vague business question and turning it into a clear answer — a query, a dashboard, or a report someone can act on.
MSc in Computer Science — Algoma University, Ontario
IBM Data Analyst Professional Certificate (2025)
4+ years of analytics experience across product, ops & finance datasets
Specialise in SQL, Python, Power BI, and automated ETL & reporting workflows
Quick facts
Location
Edmonton, AB, Canada
Education
MSc Computer Science — Algoma University, ON
Certification
IBM Data Analyst Professional Certificate, 2025
Experience
Data Analyst @ APAR Nepal · Data & Business Analyst @ Leapfrog Technology
Featured Projects
Selected analytics & data science work
A mix of analytics, machine learning, NLP, and computer-vision projects — two of them peer-reviewed and published.
End-to-end exploratory data analysis of 10,000 software job postings (39 columns) — from raw ingestion and a systematic five-dimension cleaning audit through univariate, bivariate, and multivariate analysis, ending in an interactive Power BI dashboard built for non-technical stakeholders.
Full EDA on a large-scale banking transaction dataset to identify spending patterns, high-risk customer segments, and behavioral anomalies. Benchmarked multiple fraud-detection models and delivered visual fraud-trend summaries for risk and compliance stakeholders.
Full-stack secure password manager that layers facial recognition and email OTP on top of a master password for multi-factor authentication. Built with a Next.js client and a Django REST API; credentials are AES-encrypted and master passwords bcrypt-hashed before storage, with JWT-secured sessions and input validation against SQL injection and XSS.
Trust-Aware Generative Explanations for E-Commerce Product Recommendations
Analyzed the Amazon 2023 e-commerce dataset to extract purchasing behavior, product-affinity patterns, and customer segmentation insights. Built a hybrid recommendation system combining collaborative filtering and content-based features.
Cleaned and processed a bi-script (Devanagari & Romanized) Nepali text dataset for large-scale sentiment classification. Built a hybrid Transformer + CNN + BiLSTM pipeline to surface customer-opinion trends in a low-resource language.
Lightweight CNN for Multi-Class Classification of Retinal Fundus Images
Designed a lightweight CNN to classify four retinal conditions (Cataract, Diabetic Retinopathy, Glaucoma, Normal). Conducted rigorous model evaluation using confusion matrices, ROC/AUC, and class-wise performance reporting.
AI-driven search-and-rescue platform that detects missing people in aerial drone imagery of dense forest using a YOLOv8 object-detection model. Built as two web apps: a public portal for reporting missing persons and an admin dashboard that runs detection on uploaded drone images and emails reporters when a confident match is found.
Data and business analyst roles across product, operations, and finance teams.
Data Analyst
APAR Nepal
Feb 2023 – Nov 2024 Kathmandu, Nepal (Hybrid)
Cleaned, validated, and performed EDA on 500K+ records using Python (Pandas, NumPy) and SQL, improving data quality and analysis accuracy by ~30%.
Designed and deployed interactive Power BI dashboards and automated Matplotlib visualizations, reducing manual reporting effort by 20% and accelerating stakeholder access to KPIs.
Built and maintained end-to-end ETL workflows covering ingestion, transformation, feature engineering, and pipeline monitoring, producing a more reliable and scalable analytics layer.
Wrote complex SQL queries (joins, CTEs, window functions) to support ad-hoc business questions, trend analysis, and recurring reporting for cross-functional teams.
Partnered with product, engineering, and operations stakeholders to translate business problems into measurable analytics deliverables and communicate findings in plain language.
PythonSQLPower BIETLPandasMatplotlib
Data & Business Analyst
Leapfrog Technology, Inc. (Analytics Support)
Sep 2020 – Dec 2022 Kathmandu, Nepal
Analyzed operational and customer datasets using SQL and Excel to surface usage trends, conversion drop-offs, and workflow bottlenecks.
Built Excel and Power BI dashboards tracking website performance, user engagement, and key operational KPIs for management review.
Automated recurring reporting workflows using Excel formulas, pivot tables, and SQL scripts, reducing weekly manual reporting effort by ~25%.
Conducted exploratory data analysis on user behavior and product data to generate actionable insights that informed feature and UX decisions.
Supported lightweight ETL tasks — data extraction, cleaning, deduplication, and consolidation into structured reporting tables.
Collaborated with technical and non-technical stakeholders to gather reporting requirements, define KPIs, and present findings through clear visual summaries.
SQLExcelPower BIVBAETLKPI Design
Skills Dashboard
The analytics toolkit I work with daily
From SQL and Python to Power BI, Tableau, and machine learning — the stack I use to clean data, build pipelines, and ship decision-ready dashboards.
Best Engineering Award & First Runner-up — ABU Robocon
First Place — Journey to Mustang (Robotic Association of Nepal)
Best Innovative Award (Solar Panel Cleaning) — LOCUS
Education
Academic background
Master of Science, Computer Science
Algoma University
Jan 2025 – Dec 2025 Sault Ste. Marie, ON, Canada
Graduate coursework in data analytics, machine learning, database systems, and statistics, with hands-on projects in SQL, Python, ETL, and dashboard development. Most projects ran a real dataset end-to-end — cleaning, analysis, modelling, and a final visual report.
Relevant coursework
Data AnalyticsMachine LearningDatabase SystemsStatistical Methods
Program details
Degree
Master of Science (MSc)
Field
Computer Science
Campus
Sault Ste. Marie, ON, Canada
Duration
Jan 2025 – Dec 2025
Contact
Let's Work Together
Have a project, a data problem, or a question? Send me a message and I'll get back to you within a day.
Get in touch
Fastest reach via email or LinkedIn — I usually reply within 24 hours.