Verified recordHigher Education

Philip Obiorah

Learning Development Coach in Computing at University Of Buckingham

Based in Buckingham, United Kingdom

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Seniority

Staff

Department

Education

Location

Buckingham

Industry

Higher Education

Company size

1K

Contact information

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Email

1 credit

p•••••••@buckingham.ac.uk

Phone

5 credits

+44 ••• •••• ••••

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Background

About Philip Obiorah

A highly skilled and passionate Data Science professional with a Master of Science in Applied Data Science and extensive experience in Data Analysis, Engineering, and Machine Learning. Proficient in a wide range of technologies, including Python, Java, SQL, and data visualization tools like Matplotlib, Seaborn, and Tableau. My expertise extends to advanced data manipulation, statistical analysis, and leveraging cloud platforms like AWS, Google Cloud and Azure. I have a proven track record of leading impactful data-driven projects, evidenced by my work on the Machine Learning Chat-App, where I developed a predictive model achieving an 87% accuracy rate, and my contribution to HELPIE, a natural disaster prediction system, as part of the NASA Space Apps Challenge 2018. Additionally, my work on the UoB BERT-based Sentiment Analyzer demonstrates my ability to implement complex models and create interactive visualizations. My certifications, including a Udacity Nanodegree in Data Analysis, AWS Machine Learning Foundations, and Oracle Certified Professional Java SE 6 Programmer, underpin my technical expertise. These accomplishments highlight my commitment to continuous professional development and my ability to stay abreast of the latest industry trends and technologies. I excel in problem-solving, have strong troubleshooting abilities, and am adept at communicating complex data insights to both technical and non-technical stakeholders. My background as a facilitator and mentor, combined with significant experience in team collaboration, positions me ideally for roles that require a blend of technical prowess, innovative thinking, and leadership in the field of Data Science. Tech Stack: Languages: Python (most preferred), SQL, Java, Bash. Storage: Azure Blob, Azure Data Lake, Azure CosmosDB, Amazon S3 Data Orchestration: Azure Databricks, MapReduce, Spark, Hadoop, PySpark Big data Analytics: Big Query Data Visualization: PowerBI, Tableau, Looker Studio, Quicksight ML/AI: Sklearn, Numpy, Pandas, Matplotlib, PyTorch, Torch, Azure ML, Vertex AI Cloud: Azure, AWS, GCP Version control: Git LLM: BERT

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