Degree
BSc in Oil and Gas Engineering
- Dates
- Sep 2019 – Jun 2023
- GPA
- 4.19 out of 5.00
- Funding
- Full scholarship from Uzbekneftegaz JSC and Uzbekistan GTL LLC
Unit process engineer, utility and offsiteUzbekistan GTL, Kashkadaryo, Uzbekistan
I analyse process data, work through technical issues with vendors and research institutes, and bring Python and data science to everyday plant problems. I studied oil and gas engineering at Gubkin University in Tashkent on a full industry scholarship.
A GTL plant turns natural gas into liquid fuels. The process units get the attention, but none of them run without the utility network and the offsite storage and flare systems I look after.
Full-time at Uzbekistan GTL since 2023, after internships in instrumentation, reservoir development and project management.
Sep 2023 – present Current
Uzbekistan GTL LLC, Kashkadaryo
Jun – Jul 2024
Uzbekneftegaz JSC
Mar – Jun 2023
Uzbekneftegaz JSC
Jul 2022
ENTER Engineering Group
Trained as an oil and gas engineer, with a published paper on teaching process dynamics and control.
Degree
Conference paper
Set out like an equipment data sheet: the plant software I use at work, and the data stack I have been building alongside it.
| Process engineering | |
|---|---|
| Process simulation | Aspen HYSYS, UniSim |
| Plant data | PHD process historian |
| Methods | HAZOP, project planning and scheduling, ISO 50001 energy management auditing |
| CAD and 3D review | AutoCAD, KOMPAS-3D, Navisworks |
| Data and code | |
| Languages | Python, MATLAB, Octave |
| Data science and ML | NumPy, pandas, Matplotlib, Seaborn, scikit-learn, fastai, Plotly |
| Environments | VS Code, Anaconda, Jupyter Notebook, PyCharm, Google Colab, Streamlit |
| Version control | Git, GitHub |
| Working with people | |
| Office and design | Microsoft Office, Adobe Creative Suite |
| Strengths | Communication, leadership, teamwork, critical thinking, problem solving, teaching |
| Spoken languages | Uzbek (native), Russian (bilingual), English (full professional) |
Machine learning and Python practice from my data science studies. The code for each one is public on GitHub.
Python, fastai, Streamlit
Abdivoitov-Shokhrukh/transportClassification
An image classifier that tells cars, boats and airplanes apart. Upload a photo to the web app and it returns its prediction, how confident it is, and a bar chart of the probability for each class. The app's interface is in Uzbek.
Python, fastai, Streamlit
Abdivoitov-Shokhrukh/Sport_equipments_classifier
An image classifier for seven kinds of sports equipment, built the same way as the transport classifier, with a probability chart for every prediction.
Parachute, training bench, snowboard, ski, life jacket, punching bag, surfboard
Jupyter Notebook
Abdivoitov-Shokhrukh/Data-Structure-and-Algorithms
A notebook where I implement classic algorithms in Python, starting with binary search and selection sort.
CSV, HDF5
Abdivoitov-Shokhrukh/Datasets
Datasets I processed while learning data analysis, shared for others to practise with. Includes the Melbourne housing sales data: price, rooms, land size and location for each sale.
Most recent first.
Awards and competitions.
December 12, 2022
Letter of appreciation from the Chairman of the Board
Sidiqov Baxodirjon Baxromovich, Uzbekistan GTL, for dedication and contributions to the company
XAKATON 2025, certificate of appreciation
Oil and Gas of Uzbekistan International Forum
HACKATHON 2024, diploma of participation
Ministry of Energy of the Republic of Uzbekistan
Mathematics Olympiad, republican stage
Certificate of participation
Volunteer roles at Uzbekistan GTL, alongside the day job.
Jun 2025 – present Current
Jun 2024 – present Current
Email is the quickest way to reach me.