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Omphemetse Mputle is listed as Data Scientist at Thomas, a with 436 employees, based in Gauteng, South Africa. AeroLeads shows a matched LinkedIn profile for Omphemetse Mputle.
Omphemetse Mputle previously worked as Assistant Data Scientist at Thomas. Omphemetse Mputle holds Master Of Science - Msc, Astrophysics And Space Science, Awarded With Distinction In The Coursework Component from University Of Cape Town.
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I am a passionate and results-driven Data Scientist with a proven track record of leveraging cutting-edge AI, advanced data analytics, and robust data science methodologies to drive business growth and innovation. Through utilization of the latest modern AI and data science tools, I specialize in translating data insights into actionable strategies that optimize decision-making processes and enhance operational efficiency. My expertise lies in developing machine learning models, predictive analytics solutions, and data-driven recommendations that empower organizations to stay ahead in today's competitive landscape. I possess more than 5 years of experience in Python programming and data analytics supported by a strong foundational background in Astrophysics, Mathematics and Statistics.
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Pretoria, Gauteng, South Africa
- Employing cutting-edge Large Language Models such as Llama2 and Mistral, in conjunction with RAG methodology to build a company-specific generative AI tool.- Effectively developed and implemented a logistic regression machine learning model designed to forecast customer churn, achieving a precision exceeding 85% and a recall above 90%.- Constructed liveboards that showcase data-driven business KPIs that inform business stakeholders.
Pretoria, Gauteng, South Africa
− Deriving actionable insights from data and experimenting with cutting-edge data science methodologies to address ambiguously defined challenges, with the aim of facilitating decisions that enhance the value we deliver to customers.− Employed data visualization tools including Tableau and ThoughtSpot to effectively communicate key performance indicators and product performance insights to the business stakeholders.− Conducted exploratory data analysis and formulated Python scripts to supply critical business metrics to the entire organization, encompassing customer product utilization metrics for our flagship product.− Constructed robust data pipelines and workflows utilizing advanced tools such as Azure Data Factory, Matillion and Alteryx.
Other employees you can reach at thomasinternational.net. View company contacts for 436 employees →
Harish Mahadevan
Colleague at ThomasMumbai, Maharashtra, India
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JV
Joana Vaz Monteiro
Colleague at ThomasLisboa, Lisbon, Portugal
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Lovely Ross
Colleague at ThomasPotwin, Kansas, United States
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JZ
Jie Zhao
Colleague at ThomasBeijing, China
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Kimesha Thomas
Colleague at ThomasMount Vernon, New York, United States
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TM
Thuli Mazibuko
Colleague at ThomasJohannesburg, Gauteng, South Africa
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Inga-Lill Holmgren
Colleague at ThomasGreater Stockholm Metropolitan Area, Sweden
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Tatiana Gonzalez
Colleague at ThomasColombia
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Juelz Andersson
Colleague at ThomasUnited Kingdom
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AT
Audrey T.
Colleague at ThomasJohannesburg Metropolitan Area, South Africa
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Activities and Societies: UCT Space and Astronomy Society: I was part of the committee that was responsible for events that focused.
Project Title: The Ionized Gas Kinematics of the Interacting Galaxies NGC 5426 and NGC 5427 My research project focused on using spectra.
Activities and Societies: Tuks Bahá'í Society
Quick answers generated from the profile data available on this page.
Omphemetse Mputle works for Thomas.
Omphemetse Mputle is listed as Data Scientist at Thomas.
Omphemetse Mputle is based in Gauteng, South Africa while working with Thomas.
Omphemetse Mputle has worked for Thomas.
Omphemetse Mputle's colleagues at Thomas include Harish Mahadevan, Joana Vaz Monteiro, Lovely Ross, Jie Zhao, and Kimesha Thomas.
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Omphemetse Mputle holds Master Of Science - Msc, Astrophysics And Space Science, Awarded With Distinction In The Coursework Component from University Of Cape Town.
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