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(Oppdatert %updatedDate %)Machine Learning Engineering
Helsinki, Finland
Innfødt English
- Experience in containerisation, and could development
- Hands on experience on Python, Java, SQL, and Web programming
- 5+ years of experience in data science and machine learning
Ferdigheter (29)
JavaScript
Docker
Algorithm
JSON
Node.js
Python
PANDAS
API
STATISTICS
HTML
TEAM PLAYER
SOFTWARE DEVELOPMENT
ALGORITHMS
TENSORFLOW
GOAL-ORIENTED
Telecom
Hadoop
PHP
MapReduce
GCP
CEN
C++
TELECOMMUNICATIONS
PERFORMANCE ANALYSIS
Hadoop
ELISA
STRUCTURED SOFTWARE
C#
DATA SCIENCE
Oppsummering
Software and data engineer, machine learning expert with professional experience. I have a kin
interest and hands-on experience in algorithms, software & web development, data science, and
machine learning. During my experience have got a chance to working with and visit different
research institutes, universities, and tech companies in Europe and Singapore. This gives me
both technical and scientific knowledge on solving real-world problems. I have been applying
different algorithms, designing methodologies, implementing tools and models, metrics measuring,
and quantifying performance. My professional skills include algorithm design, software development
(Java, Python, Scala, C++, CI/CD, Android), web development (HTML, CSS, JavaScript, Node,
PHP, JSP), performance testing, measurement, data engineering (SQL, Spark, MongoDB), data
analysis (Python, R) and machine learning. I am a goal-oriented and good team player who is eager
to embrace fresh ideas and challenges.
Professional competency
Arbeidserfaring
2019-11 - Nåværende
Task:
- Design and develop individuals' 'flow mode' prediction system
- Collaborated with team members coming from different professional background
- Tools: Azure, Jupyter, SQL, Python, JavaScript, Node.js, Shell, C#, docker, git
2014-01 - 2019-01
Projects:
2014-01 - 2019-01
- Mobile network performance analysis, network stability classification model and through-
put prediction using machine learning methods.
- Web performance, quality of experience measurement and analysis.
- Processed more that 340M measurement records to understand data usage patterns and behavior of mobile users across countries.
- Developed user clustering and classification model using unsupervised and supervised
machine learning approaches. The model help to identify data usage patterns of mobile
users.
- Tools: Skit-learn, Pandas, TensorFlow, R, Jupyter, MongoDB, GCP, SQL, Python, Java,
JavaScript, Shell, C++, docker, git
2016-01 - 2017-01
Projects and tasks:
- Web flow performance in mobile network
- Analyzed factors affects web browsing performance in mobile networks based on crowd-
sourced based measurement data collected from more than 25K subscribers in Finland
2013-01 - 2014-01
Projects and tasks:
- Attacks on Genome-wide association study (GWAS) privacy: A Data Mining Approach
- Implemented parts of the attacking algorithms of GWAS (that probabilistically recon- structs people's DNA from publicly available DNA data sample).
- Analysis the test results and write a scientific paper.
2007-01 - 2007-01
- Domain Name Registration System
- Developed an Online Domain Name Registration System to Ethiopian Telecom.
Akademisk bakgrunn
2020-03 - 2015-01
2011-01 - 2014-01
2005-01 - 2008-01