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Working from home
👨‍💻
Working from home
  • Bielefeld University
  • Berlin, Germany
  • 13:38 (UTC +02:00)

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eminsin/README.md

🌐 Feel free to contact me

Linkedin  Faik Erkam Minsin


💻 Technical Skills

Python NumPy Pandas Scipy Statsmodels Scikit-learn PyTorch Plotly Matplotlib Seaborn
R RStudio CRAN
MicrosoftSQLServer Postgres
Git GitHub
Power BI Tableau


🚀 About Me

Shows an integrated evidence ecosystem of heor, rwe and data science

🦾 Raised in working-class
🤺 Fought for my own path
🆔 Traveled Europe and studied different teaching approaches
🦉 Love to read and talk about social psychology, antropology and history
🏳️‍🌈 Thrive in diversity where people can bring their full, authentic selves
📍 Chasing my dreams in Berlin, and also open to work remote
🛵 Invested in theory first
🏎 Producing it all now

📌 My Education

🔆 Bielefeld University            🎓 Data Science, MSc | German School of Thought |
🔆 Galatasaray University       🎓 Industrial Engineering, MSc | French |
🔆 Linnaeus University            🎓 Industrial Engineering, BSc - exchange year | Scandinavian |
🔆 Fatih University                  🎓 Industrial Engineering, BSc | Turkish & American |

📌 My Career Journey

graph LR
    A["Engineers make things. Industrial engineers make things better."] --> B["IE, BSc"];
    B --> S["Optimization"]
    S -..-> C["Production and Planning, Occupational Health and Safety"];
    S -..-> F["Operations/Supply Chain Management, Linear Programming"];
    S -- Teaser 1: Business --> D["Entrepreneurship, Finance and Economics, Project Management, Business Analytics, Database Management, ERP/Systems Engineering"];
    D --> M["5-year working experince in Germany and Turkey in corporate and agile, dynamic start-up environments"];
    M --> R["Identifying Inefficiencies, Mapping Workflows, Optimizing Resource Allocation, Designing Data-Driven Improvements, Process Optimization"]
    S -- Teaser 2: Academia --> E["Probability Theory, Engineering Satistics, Systems Simulation, Data Mining"];
    E --> G["In what ways can these be utilized to advance human well‑being?"];
    G -- Trailer 1 was released --> H["IE, MSc"];
    H --> I["Causal Inference, Bayesian Inference, Stochastic Processes, Markov Models,  MDP"];
    I --> O["Health Economics Modelling, Cost-Effectiveness Analysis: Optimal Timing of Insulin Initiation for T2D"];
    O --> N["Health Economics and Outcomes Research"];
    O --> T["2-year research experience at Koc University - Healthcare Operations Lab"];
    N --> J["How can I cultivate my skills required for data‑driven (HEOR) modeling and automated (medical) decision‑making?"];
    T --> J;
    J -- Trailer 2 was released --> K["Data Science, MSc"];
    K --> L["Welcome to my GitHub profile"];
    N --> P["🎬 Movie is out soon: Blueprints to Algorithms"];
    K --> P;
    R --> K;
Loading

📌 Learning Library

Book-cover-Introduction-to-Operations-Research      Book-cover-Convex-Optimization      Book-cover-Numerical-Optimization      Book-cover-Using-R-for-Introductory-Statistics      Book-cover-Regression-Models-Methods-and-Applications      Book-cover-An-Introduction-to-Generalized-Linear-Models      Book-cover-An-Introduction-to-Statistical-Learning-with-Applications-in-R      Book-cover-The-Elements-of-Statistical-Learning      Book-cover-Microeconometrics-Methods-and-Applications      Book-cover-Discrete-Choice-Methods-with-Simulation      Book-cover-Hidden-Markov-Models-for-Time-Series      Book-cover-Probabilistic-Graphical-Models      Book-cover-Bayesian-Reasoning-and-Machine-Learning      Book-cover-Mining-of-Massive-Datasets      Curriculum-Introduction-to-Statistical-Natural-Language-Processing      Book-cover-Deep-Learning      Deep-Learning-for-Natural-Language-Processing      Curriculum-Advanced-Machine-Learning      Sources-for-Research-Data-Management      Curriculum-Ethical-Legal-Social-Impacts-Aspects-of-Data-Science

📌 Production Shelves

🧭 Advanced Statistics, ML, DL, NLP, AI, Real-World Evaluation
🧭 Bayesian Inference, Stochastic Processes, Markov Decision Process, HEOR

Math Skills Project Tech Skills
Descriptive Statistics
Basic Probability
Linear Algebra
DataAnalysis
data analysis
youtube
python MicrosoftSQLServer Power BI Tableau MS Excel
Numerical Computation
Descriptive Statistics
Statistical Visualization and Interpretation
Parametric Statistical Testing
Non-parametric Statistical Testing
Regression and Linear Modeling
DannyArends
fos
youtube
RRStudioNotepad++
Distribution Types
Central Limit Theorem
Bootstraping
Confidence Intervals
Significance Tests
Goodness of Fit
Linear Regression
Analysis of Variance
FoS
fos
book
RRStudioNotepad++
Multiple Linear Regression
OLS Estimation
Hypothesis Testing: F-test
Model Selection: R-squared, Leave-one-out Cross Validation, AIC, BIC
Model Diagnosis: Linearity, Homoscedasticity, VIF,
Influence Analysis - Outliers, Leverage, Cook's Distance,
Heteroscedastic Errors - Breusch-Pagan Test, Two-Stage Least Squares, White-Estimators
RegAnaCoursePoject
RegAnaCourseProject
book
pythonJupyterpandasnumpyscipyscikitlearnstatsmodelsmatplotlibseaborn

RRStudio
Disease Modeling and Health Economic Methods
Risk and Outcome Modeling
Decision Analytics
Economic Evaluation Foundations
Longitudinal Data Analytics
Statistical Modeling
Monte Carlo Simulation
Dynamic Linear Models (DLMs)
Multivariate Risk-factor Simulation
Evidence Generation
Predictive Analytics
Probability & Stochastic Processes
Statistical Inference
Survival and Risk Analysis
DSThesis
DSThesis
article1 article2 article3 article4
pythonJupyterpandasnumpymatplotlibseaborn
3
3
3
3
3

🔭 I’m currently working on reconstructing my profile.
👯 I’m looking to collaborate on HEOR/RWE + data science solutions.
🤝 I’m looking for help with finding short-mid term internship or entry level positions in data science applications in HEOR/RWE.
🌱 I’m currently repeating my data science courses and practicing my programming skills.


“Let the beauty we love be what we do.”

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