Thank You!
email yan@yan.fi
phone +358 44 9199 857
place Helsinki, FI-00340
developer_board More details at cv.yan.fi
YAN PAN
Tech-minded data scientist with passion
M.Sc. Statistics | M.Sc. Economics | Certified
AI Engineer, Data Analyst and TensorFlow Programmer..
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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.
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Authentic Skills
On daily basis, I use SQL, Python, R, SAS together with supportive tools including NodeJS, Git/SVN, Bash, HTML/CSS. Proven capability in multilingual environments with seemless language transition.
SQL Python+R Cloud AI/ML
Task-oriented skillset
> Data engineering/manuplating: SQL, Bash
> Statistical modelling/learning: R, SAS
> Deep learning: Python with TF/Keras
> Dashboard: DataStudio/PowerBI, Plotly, HTML/css
> Data streaming/warehousing: BigQuery-SQL/Cosmos
> Serverless: NodeJS, Python on GCP
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Accumulated Expertise
Expertise is rooted from strong academic background and rich expereinces across multiple industry sectors. Philosophy: learn, improve and enjoy from daily work.
Bayer | (2021)
Data engineering at large scale from varied sources, requiring strong focus on data lineage and traceability on a private cloud; main language is PL/SQL supported by Python.
IQVIA, expert service to Novartis | (2018 ~ 2021)
Full data life-cycle from loading to reporting. Highlighted with materialize academic paper to production algorithm; > 30% work time assigned to Tool&Tech Dev Team, developing and promoting automated data workflow under hybrid specialty cloud infrastructure (AIX Win/Unix)
> M.Sc. Statistics (2018 ~ 2020)
> M.Sc. Business and Economics (2014 ~ 2018)
SantaPark Oy, Rovaniemi (May 2016 ~ Nov 2018)
Bank of Shanghai (Jul 2011 ~ Jun 2014)
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schoolM.Sc. Statistics122
Filosofian maisterin tutkinto - tilastotieteen maisteriohjelma
Subject studies completed partially in Finnish (Grade: Very Good/Kiitetävä)Thesis: Time-Varying Source Separation by Joint Diagonlization on Autocovariances (Grade: Very Good/Kiitetävä)
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business_centerM.Sc. Economics and Business Administration132
Master of Science (Economics and Business Administration
Subject studies completed in English(Grade: Very Good)Thesis: Innovation in Complex Adaptive System: an exploratory study in mobile phone industry (Grade: Good)
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library_booksPublications and Researches
Pan, Y., Matilainen, M., Taskinen, S., & Nordhausen, K. (2021). A review of second‐order blind identification methods. Wiley Interdisciplinary Reviews: Computational Statistics, e1550. doi:10.1002/wics.1550
Check out my homepage yan.fi for funny real-life projects
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AI for Medicine Professional Certificate 3
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- AI for Medical Diagnosis
- AI for Medical Prognosis
- AI For Medical Treatment
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IBM AI Engineering Professional Certificate 6
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- 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
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DeepLearning.AI TensorFlow Developer Professional Certificate 4
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- 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
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Google Data Analytics Professional Certificate 8
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- 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
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Fundamentals of Parallelism on Intel Architecture 1
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- Vectorization, OpenMP, Memory Optimization, Clusters and MPI
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Advanced Machine Learning on Google Cloud 5
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- 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
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Machine Learning for Trading 3
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open_in_new Verifyby 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
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Machine Learning with TensorFlow on Google Cloud Platform 5
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- How Google does Machine Learning
- Launching into Machine Learning
- Introduction to TensorFlow
- Feature Engineering
- Art and Science of Machine Learning
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Deep Learning 5
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- Neural Networks and Deep Learning
- Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization
- Structuring Machine Learning Projects
- Convolutional Neural Networks
- Sequence Models
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Applied Data Science with Python 6
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open_in_new Verifyby 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