Data Management & Reporting:- Managed daily production reports, tracking sand extraction volumes and inventory levels.- Compiled and analyzed operational data from field reports to ensure accuracy in documentation.- Created weekly and monthly summaries of production for anagement review.- Ensured compliance with regulatory reporting requirements related to mining permits and environmental standards.Project Coordination & Documentation:- Assisted in preparing work permits, contracts, and documentation for manager.- Organized and maintained a document management system for geological surveys, safety records, and equipment inspections.Regulatory Compliance & Environmental Reporting:- Prepared reports and submissions to environmental and governmental authorities (e.g., water use, dust management).Procurement & Inventory Management:- Supported monitor equipment and material requirements for mining operations and placed procurement orders.- Supported manager to contact with suppliers to negotiate contracts and delivery schedules.Financial and Budget Support:- Collaborated with the finance team to track expenses and ensure alignment with the project budget.- Prepared purchase orders, invoices, and expense reports for office and operational needs.Use of Software Tools & Office Systems:- Managed databases using Microsoft Excel, and GIS tools.- Created dashboards and visual reports to present key production metrics and compliance status to management.- Familiar with office productivity tools (Word, Excel, PowerPoint) and email management systems.

Participated in a project “Using artificial intelligence in oil and gas exploration”. Data Science and Machine Learning (ML):- Experience in developing, training, and validating ML models such as Random Forest, XGBoost, Neural Networks, and Decision Trees.- Ability to select features, tune hyperparameters, and evaluate models using performance metrics like RMSE, MAE, and R².Geophysical and Geological Data Analysis:- Knowledge of well log data, seismic data, and reservoir parameters used in oil and gas exploration.Data Preprocessing and Quality Control:- Expertise in data cleaning, filtering, and handling missing values to ensure accurate model training.- Ability to perform PCA (Principal Component Analysis) and other dimensionality reduction techniques for data optimization.Programming and Software Proficiency:- Proficiency in geophysical software (e.g., Petrel, Golden Sofware tools).- Familiarity with data visualization tools (Matplotlib, Seaborn) to present insights effectively.Statistical Analysis and Modeling:- Expertise in correlation studies, regression analysis, and statistical modeling to validate geological predictions.- Ability to identify patterns and trends from large datasets to improve exploration accuracy.Problem Solving and Critical Thinking:- Experience managing challenges such as data inconsistency, incomplete datasets, and noisy data.- Ability to troubleshoot and fine-tune ML models to enhance performance.Collaboration and Stakeholder Engagement:- Worked with geologists, reservoir engineers, and data scientists to align AI models with exploration goals.- Experience presenting complex findings to technical and non-technical stakeholders.