Hi, my name is

Dereje Daniel Meja.

I build data-driven solutions.

I am a Machine Learning Engineer and Data Scientist specializing in building exceptional digital experiences. Currently, I'm automating forecasting and analyzing data at NXP Semiconductors.

Check out my work!

01. About Me

Hello! My name is Dereje and I enjoy solving complex problems with data. My journey has been shaped by working across different industries and projects, which led me to focus on Data Science as a way to create tangible, real-world impact.

Fast-forward to today, and I've had the privilege of working at a leading semiconductor company, a global logistics giant, and a major travel platform.

I am currently finishing my MSc in Applied Data Science at HAN University of Applied Sciences. Here are a few technologies I've been working with recently:

  • Python (Pandas, NumPy)
  • TensorFlow & Keras
  • SQL & PostgreSQL
  • Power BI & Tableau
  • Azure & Databricks
  • Docker & CI/CD

02. Where I've Worked

Data & Project Analytics Intern @ NXP Semiconductors Dec 2025 - Present
  • Built a Proof-of-Concept solution automating data collection and KPI standardization using Python and SQL.
  • Applied ETL principles to ensure data integrity and automated schedule-progress tracking.
  • Designed Power BI dashboards to align financial and operational KPIs for leadership visibility.
  • Conducted SWOT evaluations and benchmarked best-in-class forecasting tools.
Data Intelligence Working Student @ AS Watson Dec 2024 - Dec 2025
  • Supporting Data Scientists in translating business questions into insights.
  • Developing data-driven solutions for commercial teams in a high-volume logistics environment.
  • Collaborating with cross-functional teams to optimize data pipelines and reporting systems.
Data Analytics Intern @ Agoda Apr 2022 - Sep 2022
  • Provided actionable insights by digging into vast amounts of customer and booking data.
  • Conceptualized processes to improve Customer Experience Agents' productivity.
  • Analyzed the impact of agent performance on customer satisfaction and loyalty.
  • Created comprehensive dashboards to track KPIs and business metrics.

03. Some Things I've Built

Auto-Forecasting Tool

A Python/SQL based ETL pipeline that standardizes KPIs across engineering organizations, replacing manual Excel tracking with automated reporting and real-time dashboards.
Python SQL Pandas Power BI ETL

Deep Learning Image Classifier

Developed CNN models to classify images with high accuracy. Utilized TensorFlow and Keras for model architecture, training, and hyperparameter tuning.
TensorFlow Keras Python Deep Learning

Agent Productivity Analytics

Analyzed booking data to correlate agent performance with customer loyalty scores, resulting in strategic operational changes and improved efficiency metrics.
Data Analysis Statistics Visualization SQL

Twitter Sentiment Mining

Big Data processing pipeline to ingest and analyze Twitter text data for sentiment analysis and trend detection using distributed computing frameworks.
PySpark NLP Big Data Python

Sales Forecasting Dashboard

Interactive Power BI dashboard for sales forecasting using time series analysis, enabling stakeholders to make data-driven decisions.
Power BI Time Series DAX Excel

Customer Segmentation Model

Machine learning model for customer segmentation using clustering algorithms, helping businesses target specific customer groups effectively.
Scikit-learn K-Means Python Pandas

04. What's Next?

Get In Touch

I am currently looking for full-time opportunities as a Data Scientist or Machine Learning Engineer. Whether you have a question or just want to say hi, I'd love to hear from you!

Send Me a Message