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Derick Mitey
Nairobi, Kenya
Data Scientist and Analyst with a strong math and engineering background and +3 years of experience in predictive modeling, data processing, machine learning and deep learning. Achievements in actionable recommendation systems, chat-bots, and stock market predictions. Eager to participate in new deep learning challenges and projects. Ready to help with: ● Deep Learning ● Machine Learning ● SQL ● Data Science ● Google Cloud Platform and Azure Machine Learning services Technologies: ● Deep Neural Networks ● Convolutional Neural Networks (CNN) ● Recurrent Neural Networks (LSTM, GRU) ● Hierarchical Attention Networks (HAN) ● Artificial Neural Networks (ANN) ● Natural Language Processing ● Support Vector Machines ● Gradient Boosting Machines ● Random Forest ● Generalized Regression Analysis Tools: ● Python, R: Tensorflow, h2o.ai, Scikit-learn, Keras, Pandas, Numpy, Caret, Pytorch Having also studied Electrical and Electronic Engineering I am well conversant with the C/C++ programming language, 3D printing and 2D design. I take great pleasure in employing my creative ideas and innovative skills in solving problems pertaining to this field. I love working on projects together, so feel free to reach out for collaboration!
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Kenya
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List your work history, including any contracts or internships
Co-operative Bank of Kenya
Jan 2022 - Apr 2022 (3 months)
Data Scientist
Achievements:
• Performed statistical analysis; deploying models on large datasets.
• Applied data mining techniques and built high quality prediction algorithms.
• Developed analytical reports and devised analytical solutions to use cases and data science problems.
• Created sophisticated, value-added analytic systems that support revenue generation.
• Designed and implemented an automated end-to-end data validation system that boosted risk management and increased operational efficiency by 50%.
• Developed new datasets using feature-engineering techniques.
• Implemented analytical model designs, performing any restructuring required, and reviewed dataset implementations performed by the data engineer and BI developers.
• Performed statistical analysis; deploying models on large datasets.
• Applied data mining techniques and built high quality prediction algorithms.
• Developed analytical reports and devised analytical solutions to use cases and data science problems.
• Created sophisticated, value-added analytic systems that support revenue generation.
• Designed and implemented an automated end-to-end data validation system that boosted risk management and increased operational efficiency by 50%.
• Developed new datasets using feature-engineering techniques.
• Implemented analytical model designs, performing any restructuring required, and reviewed dataset implementations performed by the data engineer and BI developers.
Invent Consulting LTD.
Mar 2021 - Jan 2022 (10 months)
Data Scientist
Achievements:
•Created and Built Machine Learning solutions using Python (pandas / scikit / keras / TensorFlow) or R (H2O)
•Gained experience working with H2O
•Devised and utilized algorithms and models to mine big data stores, perform data and error analysis to improve models, and clean and validate data for uniformity and accuracy
•Improved proficiency in processing, cleansing, and verifying the integrity of data used for analysis
•Performed exploratory data analysis at an advanced level
•Demonstrated strong analytical and problem-solving skills
•Researched and devised innovative statistical models for data analysis
•Effectively worked independently and with team members from different backgrounds
•Demonstrated excellent communication and presentation skills
•Gained valuable knowledge and experience working with Amazon Web Services
•Created and Built Machine Learning solutions using Python (pandas / scikit / keras / TensorFlow) or R (H2O)
•Gained experience working with H2O
•Devised and utilized algorithms and models to mine big data stores, perform data and error analysis to improve models, and clean and validate data for uniformity and accuracy
•Improved proficiency in processing, cleansing, and verifying the integrity of data used for analysis
•Performed exploratory data analysis at an advanced level
•Demonstrated strong analytical and problem-solving skills
•Researched and devised innovative statistical models for data analysis
•Effectively worked independently and with team members from different backgrounds
•Demonstrated excellent communication and presentation skills
•Gained valuable knowledge and experience working with Amazon Web Services
KPMG
Jul 2020 - Sep 2020 (2 months)
Data Analytics Consultant
During my virtual internship with KPMG, I:
• Extracted actionable insights from data.
• Assessed quality of data.
• Made presentations of extracted data insights.
• Extracted actionable insights from data.
• Assessed quality of data.
• Made presentations of extracted data insights.
This section lets you add any degrees or diplomas you have earned.
The Technical University of Kenya
Bachelor's degree, Electrical and Electronics Engineering
Jan 2015 - Jan 2020
Abacus.AI
MLOps Proficiency Certificate
Feb 2022
SCRUMstudy - Accreditation Body for Scrum and Agile
SCRUMstudy Scrum Fundamentals Certified
Apr 2021
Udemy
Google Associate Cloud Engineer
Feb 2021