Mohammadjavad Bahmani
Logistics Planning And Optimization Expert
Iran
Summary
🤩
Rockstar🎓
Top SchoolMohammadjavad Bahmani is a logistics planning and optimization expert with nine years of experience applying industrial engineering and data-driven methods to operational problems. Currently working at Tipaxco and concurrently teaching operations research courses and assisting multiple technical classes at Sharif University of Technology, he blends academic rigor with hands-on industry delivery. His background in industrial engineering (master’s level) complemented by a minor in computer science enables him to translate clean data into practical optimization models—summed up on his GitHub as “Clean Data, Make Models.” He has also supported HRIS implementations at Solico Group, showing versatility beyond pure analytics into systems and process integration. Known for clear, teachable explanations of complex quantitative topics, he often bridges classroom theory and real-world logistics constraints.
9 years of coding experience
High School Diploma Mathematics, High School Diploma Mathematics at National Organization for Development of Exceptional Talents (Sampad)Master's degree Industrial Engineering, Master's degree Industrial Engineering at Sharif University of Technology
Github Skills (120)
gbm10
xgboost10
dataflow10
python10
data-cleaning10
portable10
seaborn10
r10
gradient-boosting10
gradient10
lightgbm10
scalable10
plotly10
kaggle10
predict10
Programming languages (5)
Github contributions (5)
mjbahmani/My-journey-in-the-data-science-world
Oct 2018 - May 2020
📢 Ready to learn or review your knowledge! You will learn 10 skills as data scientist: 📚 Python, Machine Learning, Deep Learning, Data Cleaning, EDA, python packages such as Numpy, Pandas, Seaborn, Matplotlib, Plotly, Tensorfolw, Theano...., Linear Algebra, Big Data, Analysis Tools and solve some real problems such as predict house prices.
Contributions:6 PRs, 477 pushes, 1 branch in 1 year 7 months
seabornpythonhouse-pricesjupyter-notebookproblems
aihill/10-steps-to-become-a-data-scientist
Feb 2019 - Mar 2019
📢 Ready to learn! you will learn 10 skills as data scientist:📚 Machine Learning, Deep Learning, Data Cleaning, EDA, Learn Python, Learn python packages such as Numpy, Pandas, Seaborn, Matplotlib, Plotly, Tensorfolw, Theano...., Linear Algebra, Big Data, Analysis Tools and solve some real problems such as predict house prices.
Contributions:106 commits in 29 days
seabornpythonhouse-pricesjupyter-notebookproblems
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