Ahmad Mustapha Wali | Freelancer Resume

Ahmad Mustapha Wali Email address:-LinkedIn: https://www.linkedin.com/in/ahmadmwali/ GitHub: https://github.com/ahmadmwali ABOUT ME A proficient IT professional with over seven years of diverse experience across education, agriculture, and communication sectors. I have recently completed a Master’s degree in Artificial Intelligence, enriching my expertise in data science, machine learning, and AI applications. Skilled in Python and versed in IT support and network management, I am eager to contribute as a Data Scientist, SQL Developer, Machine Learning Engineer, or Data Analyst, leveraging my knowledge to drive meaningful advancements. WORK EXPERIENCE January 2017 – CURRENT PROGRAM ANALYST - NIGERIAN INSTITUTE OF ANIMAL SCIENCE Role Overview: As a Program Analyst at the Nigerian Institute of Animal Science, a key regulatory body for Nigeria's livestock sector, my role encompasses a broad range of responsibilities aimed at enhancing the Institute's technological capabilities and operational efficiency. I leverage large language models (LLMs) and integrate them into my daily workflow to enhance my productivity and the quality of my work. Key Responsibilities: Asset Management and Staff Training:  Lead a 3-member team in managing the Institute's extensive software and hardware assets.  Conduct training sessions for staff on new technologies and systems, ensuring optimal usage and understanding of these tools. Data Science and Machine Learning:  Utilize a variety of Python packages, including powerful machine learning (ML) and data science (DS) libraries, to collect, organize, clean, and analyze complex datasets, providing in-depth insights.  Engage in the ongoing study and application of AI models, employing both traditional machine learning and deep learning techniques to address specific challenges. Automation and Scripting:  Develop and implement Python scripts to automate routine processes in Microsoft Word and Excel, enhancing productivity and accuracy.  Leverage LLMs to assist with text generation, summarization, and natural language processing tasks, further streamlining my workflow. Network Administration:  Oversee the administration of the Institute's internal network, catering to approximately 50 users.  Manage the configuration of IP addresses, conduct troubleshooting, and design LAN layouts utilizing Cisco hardware. November 2015 – November 2016 ICT TUTOR (PROFESSIONAL ATTACHMENT) – GSS NAKERE Key Responsibilities:  Developed and implemented an ICT curriculum suitable for students in a challenging environment without electricity or pipe-borne water.  Taught fundamental concepts of computer science and basic computer skills, adapting to the lack of traditional teaching resources.  Engaged students with diverse learning needs, fostering an environment of curiosity and enthusiasm for technology.  Provided mentorship and guidance, encouraging students to explore and understand the potential of ICT in their     personal and professional lives. Innovatively utilized available resources to create a conducive learning environment for ICT education. Adapted teaching strategies to overcome infrastructural challenges, ensuring effective learning outcomes. Successfully increased the computer literacy level of the students, taking them from no prior knowledge to basic proficiency. Tracked and evaluated student progress, adapting teaching methods to meet individual and group learning needs. January 2014 – June 2014 NETWORK ENGINEER (INTERN) - GALAXY BACKBONE PLC         Actively involved in designing, assigning, and managing internet configurations across various government agencies in a city of over 3 million residents. Worked in a complex, multivendor environment, ensuring seamless connectivity and network efficiency. Acquired foundational knowledge in networking, covering aspects like device management, network design, implementation, and troubleshooting. Thrived in a fast-paced environment, rapidly assimilating technical skills and operational knowledge. Teamed up with fellow interns to develop network configuration scripts, specifically for layer-2 and layer-3 devices. Contributed to the enhancement of network performance and reliability through these collaborative scripting efforts. Sharpened collaboration skills by working alongside experienced professionals and peers. Cultivated the ability to multitask effectively, balancing various responsibilities in a high-demand environment. EDUCATION 01/10/2021 – 30/09/2023 MASTER’S DEGREE IN ARTIFICIAL INTELLIGENCE University of Bucharest 15/04/2010 – 15/04/2015 BACHELOR’S DEGREE IN COMPUTER ENGINEERING Bayero University Kano DIGITAL SKILLS  Programming Languages: Proficient in Python and R, adept at writing efficient, scalable code for various applications.  Machine Learning & Deep Learning: Skilled in utilizing Scikit-learn and TensorFlow for building, training, and deploying machine learning and deep learning models.  Data Analysis: Expertise in data manipulation and analysis using NumPy, Pandas, SciPy, and Statsmodels, capable of extracting actionable insights from complex datasets.  Data Visualization: Proficient in creating insightful visualizations with Matplotlib, Seaborn, Plotly, and ggplot2, enhancing data interpretation and presentation.  Cloud Computing: Experienced in leveraging cloud platforms such as AWS and Microsoft Azure for scalable computing, data storage, and application deployment.  Business Intelligence: Competent in utilizing PowerBI for business analytics, creating interactive dashboards and reports for datadriven decision-making. Database Management:  Skilled in using MySQL for database design, management, and optimization, ensuring efficient data storage and retrieval. . PROJECTS 26/04/2023 Leveraging African Low Resource TweetData for Sentiment Analysis A SemEval group project and paper for sentiment analysis in 12 low-resource African languages. 20/11/2022 – 06/01/2023 Medical Image Multi-Label Classiﬁcation A Kaggle competition on medical image classiﬁcation using convolutional neural networks with over 91% F1-score using TensorFlow (top 10% of the competition). Multiclass Image Classiﬁer with Transfer Learning A PyTorch image classiﬁer utilizing transfer learning to classify ﬂower images. 01/12/2021 – 03/01/2022 Statistical Analysis of Factors Aﬀecting Life Expectancy A group project on the analysis of factors aﬀecting life expectancy in diﬀerent countries using machine learning.