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I am a results-oriented Data Scientist with over 4 years of hands-on experience turning complex data into simple, actionable insights that drive real business outcomes. Whether it's building machine learning models, optimizing operations, or designing easy-to-understand dashboards, my goal is to make data work for the business. I’ve worked across industries including telecom, e-commerce, healthcare, and hospitality, leveraging Python, SQL, Power BI, and Tableau to tackle problems and streamline processes. I thrive in Agile environments, collaborating with cross-functional teams, running A/B tests, and integrating MLOps to ensure that data solutions are not only effective but sustainable. Above all, I’m focused on helping teams make better decisions faster through data that’s as actionable as it is insightful.…I am a results-oriented Data Scientist with over 4 years of hands-on experience turning complex data into simple, actionable insights that drive real business outcomes. Whether it's building machine learning models, optimizing operations, or designing easy-to-understand dashboards, my goal is to make data work for the business. I’ve worked across industries including telecom, e-commerce, healthcare, and hospitality, leveraging Python, SQL, Power BI, and Tableau to tackle problems and streamline processes. I thrive in Agile environments, collaborating with cross-functional teams, running A/B tests, and integrating MLOps to ensure that data solutions are not only effective but sustainable. Above all, I’m focused on helping teams make better decisions faster through data that’s as actionable as it is insightful.

Kaothara Dedeji

Data Scientist, Data Analyst, AI Engineer, +2

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I am a results-oriented Data Scientist with over 4 years of hands-on experience turning complex data into simple, actionable insights that drive real business outcomes. Whether it's building machine learning models, optimizing operations, or designing easy-to-understand dashboards, my goal is to make data work for the business. I’ve worked across industries including telecom, e-commerce, healthcare, and hospitality, leveraging Python, SQL, Power BI, and Tableau to tackle problems and streamline processes. I thrive in Agile environments, collaborating with cross-functional teams, running A/B tests, and integrating MLOps to ensure that data solutions are not only effective but sustainable. Above all, I’m focused on helping teams make better decisions faster through data that’s as actionable as it is insightful.…I am a results-oriented Data Scientist with over 4 years of hands-on experience turning complex data into simple, actionable insights that drive real business outcomes. Whether it's building machine learning models, optimizing operations, or designing easy-to-understand dashboards, my goal is to make data work for the business. I’ve worked across industries including telecom, e-commerce, healthcare, and hospitality, leveraging Python, SQL, Power BI, and Tableau to tackle problems and streamline processes. I thrive in Agile environments, collaborating with cross-functional teams, running A/B tests, and integrating MLOps to ensure that data solutions are not only effective but sustainable. Above all, I’m focused on helping teams make better decisions faster through data that’s as actionable as it is insightful.

Available to hire

I am a results-oriented Data Scientist with over 4 years of hands-on experience turning complex data into simple, actionable insights that drive real business outcomes. Whether it’s building machine learning models, optimizing operations, or designing easy-to-understand dashboards, my goal is to make data work for the business.

I’ve worked across industries including telecom, e-commerce, healthcare, and hospitality, leveraging Python, SQL, Power BI, and Tableau to tackle problems and streamline processes. I thrive in Agile environments, collaborating with cross-functional teams, running A/B tests, and integrating MLOps to ensure that data solutions are not only effective but sustainable. Above all, I’m focused on helping teams make better decisions faster through data that’s as actionable as it is insightful.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Intermediate

Intermediate

Work Experience

Data Scientist / Analyst at AMDARI

January 1, 2025 - November 11, 2025

Led the end-to-end lifecycle of machine learning projects, reducing manual forecasting efforts by 40% and improving operational efficiency. Designed and implemented predictive churn models using Python, SQL, and ML, improving customer retention rates by 22%. Developed Python-based ETL pipelines to ingest data from multiple sources, reducing data latency by 60%. Designed and deployed NLP models that improved customer sentiment analysis accuracy by 40%, enhancing customer experience in banking and telecom sectors. Developed inventory optimization models, improving supply chain efficiency by 20%, reducing excess stock and cutting operational costs.

Data Analyst / Scientist at 10Alytics

December 1, 2024 - December 1, 2024

Applied SQL to extract, transform, and analyze transactional and customer behavior data, driving insights for churn prediction, pricing optimization, and campaign ROI measurement. Built and deployed a sentiment analysis tool using Python, Scikit-learn, and NLP techniques, enabling real-time insights on Amazon reviews. Developed Tableau dashboards to analyze sales trends and customer behavior, contributing to a 10% uplift in category-level sales. Collaborated with cross-functional teams to solve business problems and optimize marketing and product strategies.

Data Scientist Lead Enterprise at Enterprise

February 1, 2022 - February 1, 2022

Transformed analytical reporting into scalable, data-driven solutions by building interactive dashboards using Power BI, Tableau, and Excel, enhancing stakeholder understanding and reducing reporting turnaround by 30%. Engineered automated reporting pipelines with Power BI and SQL, enabling real-time KPI monitoring and early detection of underperforming areas. Collaborated cross-functionally to implement data-led process improvements, contributing to a 15% boost in operational efficiency through optimized reporting and decision workflows. Applied EDA and statistical techniques to uncover revenue drivers, supporting a 10% improvement in quarterly sales forecasting accuracy.