Taiwo Osunrinde

Company: (Mining Industry)

• Data cleaning and preparation of data for geostatistical analysis using data science framework
• Performing exploratory data analysis and statistical interpretation of assay and composite data to support geological assessments and inform decision-making for resource modelling and evaluation processes using python data analytic tools
• Creating python scripts to automate resource modelling and estimation workflow
• Coding geological shapes (Ore Type, Lithology, Alterations) into block model and composite data to ensure accurate geological matching and interpretation during interpolation
• Performing variogram analysis to determine spatial correlation, continuity, and geological trends of deposits using PyGSLIB and resource modelling solutions platform (RMSP) python library. Create different variogram workflow based on data density within the district and domain of interest
• Performing resource grade interpolation using python to estimate and model the distribution of copper deposit within the Safford and Morenci district

• Creating workflow to perform multivariate stochastic simulation to optimize mine planning, drilling optimization, and ore routing decisions.
• Extracting, standardizing, and preprocessing datasets to ensure quality input for machine learning models.
• Developing ML model using convolutional neural network, FNN, etc. to automate the identification of mineral phases in X-Ray diffraction data.
• Developing executable application for the deployment of machine learning models to automate mineral phase determination from X-ray diffraction (XRD) data.
• Designed and implemented GUI interfaces for dynamic visualization of acid solubility and quick leach test

Company : (Mining Industry)

• Performed data cleaning and preparation of data for geostatistical analysis using data science framework
• I conducted statistical and exploratory data analysis of copper assay data with python
• Created python scripts to automate resource modelling and estimation workflow within resource modelling solutions platform.
• Performed variogram analysis to determine spatial correlation and geological continuity of mineralization using PyGSLIB and RMSP python library
• Developed and presented ideas to team lead and manager on how to implement machine learning in automating the classification of rock lithologies within the exploration and modelling workflow

Company : (Mining Industry)

• Created sample identification labels and submitting samples for laboratory analysis using computerized data transfer systems
• Logged drill cuttings and drill core samples to identify rock types, copper mineralization, alteration, and acid consumption
• Applied geostatistical algorithms and data analytic techniques to create block model for resource estimation and forecast modeling
• Quantified uncertainty within resource estimate using variogram analysis and multivariate transform simulation with python
• Geological mapping, survey of blasthole areas within the mine; collection and logging of daily blasthole samples to aid production within the mine

· I was an active member of the team that worked on the re-evaluation of OML 46 Korolei-Field,

Niger Delta for 2020 marginal field bid round.

· Utilized established empirical formulas to evaluate and analyze the rock properties of reservoirs delineated

within the OML 46.

· Characterized the delineated reservoirs within OML 46 in terms of their lateral continuity, structures, and

trapping mechanism.

· Worked closely with the reservoir and facility engineers to come up with a developmental plan analysis of Korolei Field, Niger Delta, Nigeria.

Company: (Mining Industry)

• Setup machine learning framework/workflow for resource modeling team at Exodus dry mine, Nevada Gold Mines
• Optimized rock classification workflow by developing rock classification system using convolutional neural network algorithm
• Designed and deployed the model via web application using streamlit
• Incorporated geochemical data to understand and translate complex business problems into machine learning problems
• Worked on object recognition using TensorFlow to further identify sub-rock types within some geological core boxes
• Provided business justification for the use of Machine Learning within geological workflow of Nevada Gold Mines
• Successfully deployed the rock classification model using streamlit

Company: (Data Science)

• Identified, analyzed and interpreted trends in complex data sets using supervised and unsupervised learning techniques
• Used Python to manage, analyze, and visualize large datasets
• Developed machine learning model using linear regression and support vector machine with an 80% accuracy to predict customer's reaction on the new product to be released by one of the company's client
• Applied appropriate data science techniques to develop an insurance prediction system (95% accuracy) that predicts the best policies for individual clients
• (Data Science)

Company: (Data Analytics and Geospatial Technology)

• Created and deployed an enterprise GIS system for the company using Geoserver, apache Tomcat, PostGres, and Ngrok tunneling tool
• Used GIS analytic tools to develop a geomarketing tool which was a channel for marketing the company’s product
• This increased sales by 60%
• Analyzed transactions to build logical business intelligence model for real-time reporting needs
• Developed a geolocation and suitability map to help access the performance of a client product within the states of operation
• Carried out a GIS-Based suitability analysis for a telecommunication company using multi-criteria decision analytic tools
• The suitability map produced was implemented in strategic locations by the client
• This improved the quality of services delivered in the location by 80%

· Carried out sonic calibration and synthetic generation of Egbema Field, Niger Delta.

· Carried out structural interpretation of Egbema Field, Niger Delta to evaluate the lateral continuity of the delineated reservoirs and the trapping mechanism in the field.

· Worked closely with my supervisor in building a velocity model used for time-depth structural map conversion.

· Applied geostatistical techniques to develop a fit-for-purpose geological model for the delineated reservoirs in Egbema Field.