Yishak Tadele Nigatu
Trento, Italy
Yishak Tadele Nigatu
Trento, Italy
Junior Machine Learning (ML) Engineer with hands-on experience in data pipeline design, algorithm development, and model evaluation. Proven ability in designing and implementing end-to-end ML projects using MLOps tools (MLFlow, DVC, Dask, DBT), data engineering platforms (Airflow, Kafka, Spark, Apache Flink, Docker), and ML frameworks (PyTorch, Scikit-learn). Passionate about solving mathematical and logical problems through production systems, including chatbots, real-time analytics, and predictive and inference models. Strong technical skills in Python, C++, and SQL with full-stack capabilities (Flask, Django, ReactJS). Developed expertise in collaborative engineering environments at KIFIYA and Chapa Financial Technologies, consistently focusing on performance, efficiency, and continuous improvement. Published researcher with an MSc in Data Science (in progress) at the University of Trento.
Data collection and preprocessing
Vector Store Integration with Word Embedding
Frontend and backend development
API Integration
Official website design and development
Database design and development
Web hosting configuration
Machine Learning Pipeline Development
Data Engineering Principles and Large-Scale Implementations
Statistical Reasoning and Logistic Optimisation
WEB 3 dApp Development
ML Research in the Financial Field
Research Paper Writing
Data Exploration and Analysis
Backend Development:Symfony
Project Design and Implementation
Python
C++, C
Java
PHP
SQL
Docker
AWS (EC2, S3, Lambda)
Git
Pandas
NumPy
Matplotlib
GeoPandas
Seaborn
Django
ReactJS
Flask
REST APIs
PyTorch
TensorFlow
scikit-Learn
OpenCV
MLFlow
Dask
DVC
Apache Spark
Apache Kafka
Apache Airflow
Apache Flink
PostgreSQL
Redis
A/B Testing
NLP
Computer Vision
Time Series Analysis
Causal Inference
Deep Learning
ML model development and life cycle management.
Data Visualization
ETL Pipeline Building
High-Performance and Distributed Computing
Geospatial Data Analysis
Statistical Learning Methods and Models
Big Data Architecture and Development
Bio-Inspired Artificial Intelligence
Advanced Social Network Analysis
Knowledge Graph Engineering and more
Machine Learning
Data Structures & Algorithm Design
Statistics and Probability
Numerical Computation and Graphical Models
Digital Signal Processing
Embedded Systems Design
Developed a system that efficiently processes high-volume supply chain data, with a primary focus on streaming order data, by utilising an appropriate integration of advanced big data technologies...
This project builds a knowledge graph (KG) that provides insights into the relationship between tourism and waste management in the Province of Trento, Italy. The KG supports stakeholders such as tourists, facility owners, policymakers, and researchers...
This project implements an industrial-level data infrastructure solution for a city traffic department to efficiently collect, store, and analyse traffic data captured by swarm UAVs (drones) and static roadside cameras. The primary objective was to create a scalable data warehouse architecture capable of hosting vehicle trajectory data extracted from...
The project addresses discrepancies in logistics, focusing on drivers deviating from planned routes and load specifications. Its goal is to minimize these deviations by recommending optimal standard routes based on drivers’ actual behavior and preferences....
Designed and implemented a pipeline for speech data collection to train and deploy language models. Created system to make AI assistants more user-friendly by processing audio input from various sources..