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phone +358 44 9199 857
place Helsinki, FI-00340
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Tech-minded data scientist with passion
M.Sc. Statistics | M.Sc. Economics | Certified Data Analyst, TensorFlow Programmer and AI Engineer.

True Passion

A passionate team contributor backeded with agility and innovation

True love in coding
Track record of responsible programming and nice documentation. Purse high performance, code asethetics and reusability.

True passion in solving real-world problem
Proven efficiency in solving problems with by evaluating algorithm and flow. Commit to data janitor and quality control.

True belief in technology
Eager for new challenges, hunger for new knowledge and ready for new techonology

Authentic Skills

On daily basis, I use SQL, R, SAS, Python together with supportive tools include NodeJS, Git/SVN, Bash, HTML/CSS. Proven capability in multilingual environment with seemless language transition

SQL Python+R Cloud AI/ML

Task-oriented skillset
> Data engineering/manuplating: SQL
> Statistical modelling/learning: R, SAS
> Deep learning: Python with TF/Keras
> Dashboard: DataStudio, Plotly, HTML/css
> Data streaming/warehousing: BigQuery
> Serverless: NodeJS, Python on GCP

Accumulated Expertise

Expertise is rooted from strong academic background and rich expereinces across multiple industry sectors. Philosophy: learn, improve and enjoy from daily work.

Data Scientist (Statistical Analysis Programming) + Tool&Tech Dev Team
IQVIA, expert service to Novartis | (since Dec 2018)
Full data lifecyle from loading to reporting. Hightlighed with materialize academic paper to production algorithm; 20% work time assigned to Tool&Tech Dev Team, developing and promoting automated data workflow under hybrid speciality cloud infrastructure (AIX Win/Unix)
Dual Master Studies with solid records at University of Jyväskylä
> M.Sc. Statistic (2018 ~ 2020)
> M.Sc. Business and Economics (2014 ~ 2018)
Product Coordinator: System Expert, Key BI Developer
SantaPark Oy, Rovaniemi (May 2016 ~ Nov 2018)
HR Analyst: training, internal finance and workforce analyst
Bank of Shanghai (Jul 2011 ~ Jun 2014)
  • Certfications & Specializations
  • IBM AI Engineering  Professional Certificate6

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    by IBM

    • Machine Learning with Python
    • Scalable Machine Learning on Big Data using Apache Spark
    • Introduction to Deep Learning & Neural Networks with Keras
    • Deep Neural Networks with PyTorch
    • Building Deep Learning Models with TensorFlow
    • AI Capstone Project with Deep Learning
  • DeepLearning.AI TensorFlow Developer  Professional Certificate4

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    by DeepLearning.AI

    • Introduction to TensorFlow for Artificial Intelligence, Machine Learning, and Deep Learning
    • Convolutional Neural Networks in TensorFlow
    • Natural Language Processing in TensorFlow
    • Sequences, Time Series and Prediction
  • Google Data Analytics  Professional Certificate8

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    by Google

    • Foundations: Data, Data, Everywhere
    • Ask Questions to Make Data-Driven Decisions
    • Prepare Data for Exploration
    • Process Data from Dirty to Clean
    • Analyze Data to Answer Questions
    • Share Data Through the Art of Visualization
    • Data Analysis with R Programming
    • Google Data Analytics Capstone: Complete a Case Study
  • Fundamentals of Parallelism on Intel Architecture1

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    by Intel

    • Vectorization, OpenMP, Memory Optimization, Clusters and MPI
  • Advanced Machine Learning on Google Cloud5

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    by Google Cloud

    • End-to-End Machine Learning with TensorFlow on GCP
    • Production Machine Learning Systems
    • Image Understanding with TensorFlow on GCP
    • Sequence Models for Time Series and Natural Language Processing
    • Recommendation Systems with TensorFlow on GCP
  • Machine Learning for Trading3

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    by Google Cloud, New York Institute of Finance

    • Introduction to Trading, Machine Learning & GCP
    • Using Machine Learning in Trading and Finance
    • Reinforcement Learning for Trading Strategies
  • Machine Learning with TensorFlow on Google Cloud Platform5

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    by Google Cloud

    • How Google does Machine Learning
    • Launching into Machine Learning
    • Introduction to TensorFlow
    • Feature Engineering
    • Art and Science of Machine Learning
  • Deep Learning5

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    by DeepLearning.AI

    • Neural Networks and Deep Learning
    • Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization
    • Structuring Machine Learning Projects
    • Convolutional Neural Networks
    • Sequence Models
  • Applied Data Science with Python6

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    by University of Michigan

    • Introduction to Data Science in Python
    • Applied Plotting, Charting & Data Representation in Python
    • Applied Machine Learning in Python
    • Applied Text Mining in Python
    • Applied Social Network Analysis in Python