I am self-motivated, committed, determined, and goal-oriented. I have also demonstrated a capacity to stay productive under pressure and tight deadlines. I possess excellent verbal and written communication skills and am…
I am self-motivated, committed, determined, and goal-oriented. I have also demonstrated a capacity to stay productive under pressure and tight deadlines. I possess excellent verbal and written communication skills and am able to relate to a range of people from diverse cultural backgrounds, due to my education and international experiences (I have lived for over six years in Norway, gone on assignments in Germany, Italy, Spain, Denmark, Sweden, Netherlands, Belgium, and Nigeria). With over eight years of data-related experience and in my current role as Data Scientist, I have expertise in data collection, EDA, ETL, data processing, visualization, machine learning and AI (mainly using PYTHON and Power BI). My near-future goal is to make a “jump” in data science and project management. Apart from having a MSc. in Petroleum Geoscience with specialization in geophysics, I have developed an interest in data management and scientific programming with expertise in PYTHON and an intermediate level in MATLAB programming. I am also proficient with R, MS Office, LATEX, and GitHub.
Supports the effective implementation of project strategies, use of M&E tools and analysis/provision of feedback of data of assigned program area
Mentor and develop regional project staff.
Continuously monitor and evaluate key performance indicators and make recommendations for improvement.
Apply ML techniques as appropriate.
Support senior management in data-driven decision-making.
Collaborate with all stakeholders to identify key business challenges and opportunities.
To ensure data accuracy and completeness in DAMA (Data Management software), analyze site level data and promote data use for service improvement.
All other data-related activities.
Used predictive modeling to increase and optimize planned immunization activities.
Collaborated with cross-functional teams to transform data into critical information for decision-making.
Developed data models and algorithms to apply to data sets.
Built machine learning models using decision tree, supervised/unsupervised learning that helped management in important decision-making and was estimated at 30% cost-effective.
Automated manual processes, optimized data delivery, re-designed infrastructure for greater scalability.
Build data analytics tools that utilize the data pipeline to provide useful insights into project KPIs.
Assessed the effectiveness and accuracy of new data sources and data gathering techniques
Automated manual processes, optimized data delivery, re-designed infrastructure for greater scalability.
Build out Corporate data quality checks and develop processes for identifying and resolving data quality issues.
Trained district staff on the use of macros for routine tasks.
Digitalized the M&E system for regional staff and other stakeholders to monitor progress in real time, which improved accountability by more than 30%.
Developed and designed financial reporting tools for project sub-partners.
Supports the effective implementation of project strategies, use of M&E tools and analysis/provision of feedback of data of assigned program area. Mentor and develop regional project staff. Continuously monitor and evaluate key performance indicators and make recommendations for improvement. Apply ML techniques as appropriate. Support senior management in data-driven decision-making. Collaborate with all stakeholders to identify key business challenges and opportunities. To ensure data accuracy and completeness in DAMA (Data Management software), analyze site level data and promote data use for service improvement. All other data-related activities.
Modeled Rock Physics tools for reservoir identification using Python (pyrockphy).
Built machine learning models for anomaly detection, linear regression, logistic regression, clustering, random forest, KNN, time series, and SVM.
Collaborated with cross-functional teams to transform data into critical information for decision-making.
ACHIEVEMENTS
1. Modeled Rock Physics tools for reservoir identification using Python (pyrockphy).
2. Built machine learning models for anomaly detection, linear regression, logistic regression, clustering, random forest, KNN, time series, and SVM.
3. Collaborated with cross-functional teams to transform data into critical information for decision-making.
Supervising and monitoring the distribution of Adresseavisen and other affiliated newspapers, small packages, and magazines.
Duties involved
Monitoring data on prices, measures, and weight.
Data analysis and making calculations to take into account factors such as hydrostatic expansion of the tanks during filling and thermal expansion of the tank shell in service.
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