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Tonny Kiplagat

Tonny Kiplagat

Data Scientist and Machine Learning Engineer.

Services provided: Data Mining , Machine Learning Engineers , Statistics Tutors , Online Writers , Data Visualization Designers , Data Engineering , Data Scraping Specialists , Artificial Intelligence Product Managers , Analysis / Data / Strategy / Plans , Data Scientists , Computer Vision , Big Data , Deep Learning Experts

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Eldoret
KSh70 / hour
Approximate rate

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About Tonny Kiplagat:


Experienced Data Scientist and Machine Learning Engineer with a background in Actuarial Science from Moi University and AI studies at Coursera. Proven track record of developing and implementing predictive models, enhancing forecasting accuracy. Skilled in statistical analysis, data manipulation, and deploying end-to-end machine learning pipelines. Collaborative team player with a talent for translating complex data into actionable insights. Proficient in Python, R, TensorFlow, PyTorch, and SQL. Holds a Master's degree in Artificial Intelligence and certifications in Machine Learning. Published author and contributor to impactful projects resulting in improved business processes. 

Experience

Accomplished Data Scientist and Machine Learning Engineer with a successful track record at Upwork, Fiverr, and Freelance.com. Demonstrated expertise in developing and deploying machine learning models, collaborating with diverse clients to address specific business challenges. Proven ability to deliver impactful solutions, optimize processes, and enhance predictive accuracy. Skilled in working within the dynamic freelance environment, adapting to varying project requirements, and consistently exceeding client expectations. Proficient in Python, R, and various machine learning libraries. Adept at translating complex technical concepts into actionable insights for non-technical stakeholders. Committed to delivering high-quality, data-driven results in a freelance setting, contributing to the success of diverse projects across multiple platforms.

Education


Excelled in Actuarial Science studies at Moi University, acquiring a comprehensive foundation in mathematical modeling, risk assessment, and financial analysis. Demonstrated strong analytical skills, successfully completing coursework that emphasized statistical methods and quantitative analysis.

Furthered academic pursuits with a Master's in Artificial Intelligence from Coursera, honing expertise in advanced machine learning techniques, data science, and algorithm development. Acquired practical skills in Python, R, TensorFlow, and PyTorch, enhancing proficiency in data manipulation and model deployment. Successfully applied theoretical knowledge to real-world scenarios, solidifying a well-rounded educational background merging traditional actuarial principles with cutting-edge AI technologies. This dual educational experience uniquely positions me to navigate the intersection of traditional finance and emerging technologies in the ever-evolving landscape of data science.

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