Data Scientist & ML Engineer

Building intelligent systems with Machine Learning & NLP

Specialized in deep learning, natural language processing, and agentic AI. I transform complex data into actionable insights and deploy production-ready ML solutions.

2+ Years Experience
10+ ML Projects
MSc Data Science
Get in Touch View GitHub
Work History

Professional Experience

Data Analyst

Dec 2023 – Dec 2024
Bhusal Tech Traders, Nepal
  • Analyzed sales and operational datasets using Python and SQL to track KPIs and support strategic decision-making
  • Built automated data pipelines and dashboards that reduced reporting time by approximately 13%
  • Developed machine learning models that improved prediction accuracy by approximately 18% over baseline approaches
  • Collaborated with business stakeholders to translate operational and marketing requirements into data-driven insights
Portfolio

Featured Projects

MSc Thesis

Fake News Detection with RAG

End-to-end text classification pipeline using Word2Vec embeddings and neural networks. Enhanced with RAG for real-time news retrieval and fact-checking. Deployed with full MLOps workflow including training, versioning, and containerization.

Python PyTorch Word2Vec RAG Docker MLflow
Time Series

Sales Forecasting System

Modeled sales trends and seasonality using ARIMA to support demand planning and operations. Evaluated forecasts using MAE and RMSE to guide business expectations and inventory management.

Python ARIMA Pandas NumPy Matplotlib
Unsupervised Learning

Anomaly Detection Engine

Identified anomalous financial transactions using Isolation Forest and One-Class SVM. Generated risk indicators to support fraud analysis and operational monitoring.

Scikit-Learn Isolation Forest SVM Python
Video Content

Vlogs & Tutorials

Data Science Tutorial
Feb 10, 2026

Introduction to RAG Systems

A comprehensive guide to building Retrieval-Augmented Generation systems for production ML applications.

NLP RAG Tutorial
ML Pipeline
Feb 5, 2026

Building Production ML Pipelines

Learn how to build and deploy scalable machine learning pipelines using MLflow and Docker.

MLOps Docker Python
Deep Learning
Jan 28, 2026

Deep Learning for NLP

Exploring advanced neural network architectures for natural language processing tasks.

Deep Learning NLP PyTorch
Technical Expertise

Skills & Technologies

Programming & Data

Python SQL Pandas NumPy Scikit-Learn

Machine Learning

Classification Regression Clustering Feature Engineering Model Evaluation

Deep Learning

PyTorch TensorFlow CNN RNN/LSTM Transformers BERT GPT/LLaMA

NLP & Agentic AI

RAG LangChain Word2Vec Hugging Face Vector Databases Pinecone

MLOps & Cloud

AWS (S3, EC2, IAM) Docker MLflow CI/CD Git

Analytics & Visualization

Power BI Matplotlib Seaborn KPI Dashboards
Academic Background

Education

2025 – 2026

MSc Data Science

University of Greenwich, London, UK
Machine Learning • Natural Language Processing • Cloud and Modern Database • Statistics for Time Series Data
2022 – 2024

BSc (Hons) Computing (IT)

Islington College, Kathmandu, Nepal
Artificial Intelligence • Software Engineering • Advanced Database Systems Development
Let's Connect

Get in Touch

Open to Opportunities

I'm currently seeking data science and machine learning roles where I can apply my expertise in NLP, deep learning, and production ML systems. Let's discuss how I can contribute to your team.

Email gbibek257@gmail.com Phone +44 7487 638252 LinkedIn linkedin.com/in/bibek-ghimire GitHub github.com/Bibek257