Novin Nekuee
Petroleum/Drilling Engineering Master's Student
Distric1, Laleh Alley, Tehran, Iran
Novini.n1380@gmail.com
(+98) 9128996638
Skills & Competences
Python
Django & Django Rest-Framework
Machine Learning
Data Visualization
Android Development (python-kivy, Dart-Flutter)
Back-end Development
PowerBI
MySQL, Sqlite3, PostgreSQL, SQL Server
Docker, CI/CD, Redis, Celery
Front-end (HTML & CSS)
WordPress
Telegram Bot
Autocad, Matlab, Photoshop, Figma, Illustrator
GIT, C#
Specialized petroleum engineering software: Olga, Petrel, Saphir, Prosper, Eclipse, Pipesim
Specialized drilling engineering software: Well View, Landmark
Languages
English (above intermediate)
Persian (Mother tongue)
Summary
I am a master’s student in Petroleum/Drilling Engineering at Amirkabir University of Technology, holding a bachelor’s degree from Sharif University of Technology. My expertise bridges petroleum engineering, data science, and machine learning, enabling me to optimize drilling operations through data-driven solutions. I am highly interested in programming and data analysis, which has led me to create web applications with Python, Django framework, and machine learning algorithms. My primary focus is on drilling data analysis, predictive modeling, and optimization using artificial intelligence and machine learning to enhance operational efficiency in the petroleum industry. I thrive on challenges and possess a dynamic, problem-solving mindset. Currently, I am involved in the development of drilling optimization and data management systems using machine learning and real-time analytics for enhanced decision-making. My bachelor’s thesis was centered on the development of an Android application for downhole calculations, specifically focused on choke design in production engineering operations.
Experience
Drilling Engineering Android Application (Bachelor project)
Sharif University of Technology & NISOC | 02/2023 - 06/2023
Developed an Android application for downhole calculations such as choke and drilling parameters (ProMate).
Drilling Data Analysis Trainee
Dana Energy | 07/2023 - 10/2023
Designed an online dashboard for recording daily drilling reports (DDR) using Django framework. Collaborated on building a data management dashboard using PowerBI.
Freelancer Programmer
05/2020 - 06/2022
Implemented Python-based solutions to address client projects.
Education
Amirkabir University of Technology, Tehran, Iran
2024 - Present
Petroleum Engineering - Drilling Engineering (M.Sc.)
Sharif University of Technology, Tehran, Iran
2019 - 2024
Petroleum Engineering (B.Sc.)
Bachelor Thesis: Development of Android application to perform downhole calculations such as choke in production engineering
Salam High School, Tehran, Iran
2016 - 2019
Mathematics
GPA: 19.5/20
Honours & Certificates
Django Developer | Maktabkhooneh | 08/2022
Saphir Petroleum Software Course | Sharif University of Technology | 10/2024
Machine Learning & Data Science | Maktabkhooneh | 03/2025
Landmark Course | MyOpak | 04/2025
Well View Course | MyOpak | 04/2025
Projects
Drilling Data Management Dashboard | 2024 - Present
- Daily Reports Collection Module
- Optimization Module
- Report Generation & Export Module
- Interactive Analytical Dashboards
- High security and user access level determination
Petrochemical Management Dashboard | Petro Beniz | 01/2025 - 03/2025
- Human Resources Management Module
- Market Price Prediction Module
- Risk & Hazard Assessment Module
- Pollutant Emissions, Production, and Feed Consumption Module
- Export & Import Tracking Module
- Catalyst Analysis Module
Android Application for Petroleum Engineering Calculations | SUT & NISOC | 02/2023 - 06/2023
- Choke Design Calculation Module
- Company Magazines & Equipment Guide Access Module
- Drilling Calculations Module
- Casing & Tubing Information Module
Covid 19 World Vaccination Progress Prediction | 03/2025
- Developed a machine learning model to predict vaccination trends for COVID-19
- Data preprocessing, visualization, feature engineering
- Implemented regression models, cross-validation, hyperparameter tuning
- Streamlit dashboard for model predictions
ROP Prediction for Drilling Operations | 01/2025 - 02/2025
- Developed a machine learning model to predict Rate of Penetration (ROP) in drilling operations
- Data preprocessing, feature selection, model evaluation
- Achieved 83% accuracy in predicting ROP
Freelance Projects | 05/2020 - 06/2022
- Parking Simulation using Pygame and PyQt
- Website backend development for clients using Django
- Password Manager Application (Tkinter)
- To-Do and Weather Apps (Kivy)