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Hello, I'm

Baburam Adhikari.

Data Analyst | Business Intelligence | Machine Learning

Turning Data Into Business Decisions

I transform raw data into meaningful insights that drive strategic business growth and operational excellence.

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Edmonton, AB, Canada · Open to Data Analyst roles

Baburam Adhikari — Data Analyst

Data Analyst

Data Quality
Improvement

30%

Insights Generated

+24%

Reports Automated

20%

500K+

Records Analyzed

Across multiple datasets

30%

Data Quality Improvement

Enhanced accuracy & reliability

20%

Reporting Time Reduction

Through automation & ETL

6

Featured Projects

ML, NLP, Vision & Security

About Me

Data Analyst focused on measurable business impact

Data Analyst with hands-on experience delivering business insights through SQL, Python, and BI dashboards across operational, customer, and financial datasets. IBM Data Analyst certified and currently completing an MSc in Computer Science at Algoma University (Canada), with proven results: improved data quality by 30%, reduced manual reporting time by 20–25%, and built automated ETL workflows that streamlined stakeholder reporting.

I am currently based in Edmonton, AB, Canada, finishing my MSc in Computer Science and actively seeking Data Analyst, Business Intelligence Analyst, or Business Analyst opportunities across Canada. I bring a strong mix of SQL fluency, Python analytics, Power BI dashboarding, and stakeholder communication — and I focus on translating ambiguous business questions into structured analytics deliverables.

  • MSc in Computer Science — Algoma University, Ontario
  • IBM Data Analyst Professional Certificate (2025)
  • 2+ years of analytics experience across product, ops & finance datasets
  • Authorised to work in Canada and open to Data Analyst / BI Analyst / Business Analyst roles

Quick facts

  • Location

    Edmonton, AB · Open to relocate across Canada

  • Education

    MSc Computer Science (Algoma University, ON) · B.Tech CSE

  • Certification

    IBM Data Analyst Professional Certificate, 2025

  • Experience

    Data Analyst @ Leapfrog Technology · Data & Business Analyst @ APAR Nepal

Featured Projects

Selected analytics & data science work

Production-aware projects across fraud analytics, e-commerce recommendation, NLP, and computer vision — two peer-reviewed and published.

View All Projects

3 models

Benchmarked on P/R/F1

Data Analytics

Bank Transaction Fraud Analytics

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.

PythonPandasScikit-learnRandom ForestIsolation Forest
GitHub

Face + OTP

Multi-factor auth

Security

Password Manager with Biometric Authentication

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.

Next.jsReactTypeScriptDjango RESTPostgreSQL
Frontend Backend

Hit Rate@K

Hybrid recommender

Published, ICAIII 2026Data Analytics

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.

PythonPandasScikit-learnCollaborative FilteringContent-Based Filtering
GitHub DOI
भावनाtextBiLSTMNLPरोमनCNN

73.88%

Model Accuracy

NLP

Nepali Sentiment Analysis — NLP Insights

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.

PythonPyTorchTransformersCNNBiLSTM
GitHub

91.14%

Model Precision

Published, SNPD 2025Computer Vision

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.

PythonTensorFlow / KerasCNNScikit-learn
GitHub Paper
person

YOLOv8

Aerial human detection

Computer Vision

Lost in Woods — AI Drone Search & Rescue

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.

PythonFlaskYOLOv8OpenCVPostgreSQL
GitHub

Experience Timeline

Roles where I shipped analytics that moved KPIs

Hands-on Data & Business Analyst experience across product, operations, and finance datasets.

Data Analyst

Leapfrog Technology, Inc.

Feb 2024 – 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 (Analytics Support)

APAR Nepal

Sep 2022 – Dec 2023 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.

See it applied

SQL

Advanced Querying

Python

Data Analysis & Automation

Power BI

Dashboard & Reporting

Tableau

Data Viz & Storytelling

Machine Learning

ML Models & Algorithms

Azure

Cloud & Data Engineering

Certifications & Awards

Credentials that back the work

IBM Data Analyst Professional Certificate

IBM · 2025

IBM Generative AI: Prompt Engineering

IBM

Microsoft Azure Machine Learning Fundamentals

Microsoft

Career Essentials in System Administration

Microsoft

Awards & Recognition

  • 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 studies focused on data analytics, machine learning, database systems, and business intelligence — forming the technical foundation behind my analytical and data-driven problem-solving approach. Coursework combined statistical analysis, predictive modeling, data visualization, and modern data engineering practices with hands-on industry-oriented projects. Gained practical experience working with SQL, Python, ETL pipelines, dashboard development, exploratory data analysis (EDA), and machine learning workflows to transform complex datasets into actionable business insights. The program emphasized both technical depth and real-world application, strengthening my ability to bridge data, technology, and strategic decision-making.

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 or opportunity? I'd love to hear from you. Available for Data Analyst, BI Analyst, and Business Analyst roles across Canada.

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Fastest reach via email or LinkedIn — I usually reply within 24 hours.

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