Cheshi Emmanuel Danjuma

Conduct in-depth analysis of complex datasets from the oil & gas, energy, and aviation industries to uncover actionable insights for business strategy. • Design and maintain intuitive dashboards and predictive models to monitor KPIs, detect anomalies, and forecast industry trends. • Develop customized analytical reports and data visualizations tailored to stakeholder needs, enabling data-informed operational decisions. • Ensure high data integrity and compliance with industry data governance standards throughout all analysis workflows

Facilitate immersive training sessions in Excel, Power BI, SQL, Python, and SPSS, using a curriculum focused on practical, real-world applications. • Design and deliver interactive exercises and project-based learning modules to reinforce theoretical concepts with hands-on practice. • Offer personalized coaching and mentorship to learners, addressing individual challenges and fostering skill growth. • Monitor participant progress and assess performance through continuous evaluation and feedback mechanisms.

Led the development and deployment of robust machine learning models to address business challenges in sales, customer retention, and operations. • Built data pipelines and ensured data quality across systems, improving the accuracy and reliability of analytical outcomes. • Supervised and mentored junior data scientists, conducting code reviews, sharing best practices, and guiding professional development. • Collaborated with cross-functional teams to align data science projects with organizational goals and drive data-driven transformation.

Mentored aspiring data professionals through virtual classes in Excel, Power BI, SQL, Python, and Machine Learning, incorporating real-life datasets. • Developed a structured curriculum that combined theoretical knowledge with practical, hands-on experience in industry-standard tools. • Guided participants through real-world projects, from data wrangling and analysis to presentation of insights using visual storytelling. • Created an inclusive learning environment, encouraging collaborative problem-solving and peer-to-peer learning.

Delivered comprehensive training on Excel, Power BI, SQL, and Python, focusing on their application in data preparation, analysis, and visualization. • Organized project-based learning environments where students handled real datasets and built end-to-end analytical reports. • Provided regular feedback and skill assessments to track learner progress and enhance understanding. • Cultivated analytical thinking and storytelling abilities by encouraging students to interpret data in meaningful, business-relevant ways

• Taught fellows the full data science pipeline, including data acquisition, cleaning, feature engineering, model training, and deployment. • Conducted in-depth sessions on Python and core libraries like Pandas, NumPy, Scikit-learn, and Matplotlib for hands-on coding experience. • Guided learners in deploying machine learning models and monitoring performance metrics to optimize predictive outcomes. • Reviewed project submissions and gave tailored feedback to ensure understanding of core concepts and industry expectations

• Delivered structured lessons on Python and key data science libraries, focusing on both foundational and advanced concepts. • Facilitated hands-on learning through capstone projects, where students tackled real-world challenges using data-driven solutions. • Provided personalized mentorship to students, supporting career development and technical skill advancement. • Promoted analytical thinking and best practices in problem-solving using tools like TensorFlow and Scikit-learn

Analyzed real-time electoral data during Nigeria’s 2023 General Elections to support transparency and accountability. • Cleaned, validated, and managed large-scale datasets to ensure data accuracy before public reporting. • Produced concise, visually engaging reports to inform electoral observers and stakeholders. • Assisted in strategy development for enhancing the efficiency of the election monitoring system through data insights.

• Conducted qualitative research on religious conflict and peacebuilding efforts in Jos-North, Plateau State. • Used Atlas.ti to analyze interview transcripts and field data, identifying key themes and patterns. • Translated complex research findings into actionable recommendations to support community peace initiatives. • Presented findings to organizational stakeholders to inform policy and project interventions