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  • Bielefeld University
  • Berlin, Germany
  • 10:32 (UTC +02:00)

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eminsin/README.md

🌐 Feel free to contact me

Linkedin Faik Erkam Minsin


πŸ’» Technical Skills

PythonNumPyPandasScipyStatsmodelsScikit-learnPyTorchPlotlyMatplotlibSeaborn
RRStudioCRAN
MicrosoftSQLServerPostgres
GitGitHub
Power BITableau


πŸš€ About Me

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

🦾 Raised in working-class
🀺 Fought for my own path
πŸ†” Traveled Europe and studied different teaching approaches
πŸ¦‰ Love to read and talk about social psychology, antropology and history
πŸ³οΈβ€πŸŒˆ Thrive in diversity where people can bring their full, authentic selves

πŸ”­ I’m currently working on adding my projects in my profile.
🀝 I’m looking to collaborate on HEOR/RWE + data science solutions.
🌱 I’m in parallel repeating my courses and practicing my programming skills.


πŸ“Œ My Career Journey
πŸ”† Bielefeld University πŸŽ“ Data Science, MSc | German School of Thought |
πŸ”† Galatasaray University πŸŽ“ Industrial Engineering, MSc | French |
πŸ”† Linnaeus University πŸŽ“ Industrial Engineering, BSc - exchange year | Scandinavian |
πŸ”† Fatih University πŸŽ“ Industrial Engineering, BSc | Turkish & American |

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

πŸ“Œ Learning Library

Book-cover-Introduction-to-Operations-ResearchBook-cover-Convex-OptimizationBook-cover-Numerical-OptimizationBook-cover-Using-R-for-Introductory-StatisticsBook-cover-Regression-Models-Methods-and-ApplicationsBook-cover-An-Introduction-to-Generalized-Linear-ModelsBook-cover-An-Introduction-to-Statistical-Learning-with-Applications-in-RBook-cover-The-Elements-of-Statistical-LearningBook-cover-Microeconometrics-Methods-and-ApplicationsBook-cover-Discrete-Choice-Methods-with-SimulationBook-cover-Hidden-Markov-Models-for-Time-SeriesBook-cover-Probabilistic-Graphical-ModelsBook-cover-Bayesian-Reasoning-and-Machine-LearningBook-cover-Mining-of-Massive-DatasetsCurriculum-Introduction-to-Statistical-Natural-Language-ProcessingBook-cover-Deep-LearningDeep-Learning-for-Natural-Language-ProcessingCurriculum-Advanced-Machine-LearningSources-for-Research-Data-ManagementCurriculum-Ethical-Legal-Social-Impacts-Aspects-of-Data-Science


πŸ“Œ Production Shelves

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

Math SkillsProjectTech Skills
Descriptive Statistics
Basic Probability
Linear Algebra
DataAnalysis
data analysis
youtube
pythonMicrosoftSQLServerPower BITableauMS 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
article1article2article3article4
pythonJupyterpandasnumpymatplotlibseaborn
Markov Decision Process
Dynamic Programming
Matrix-based Cohort Simulation
Policy Evaluation
Sensitivity Analysis Design
Cost-utility Modeling
IEThesis
IEThesis
IEThesis
IEEE
matlabMS Excel

β€œLet the beauty we love be what we do.”

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