Mr. Serhii Savin | Data Science | Data Science Excellence Award

Published on by AI Data Scientist

Mr. Serhii Savin | Data Science | Data Science Excellence Award 

Accomplished Data Scientist | Lyft | Poland

Mr. Serhii Savin is an accomplished data scientist specializing in artificial intelligence, machine learning, econometrics, and geospatial analytics, with extensive experience developing predictive and optimization models for real-world applications in transportation, finance, and technology. Mr. Savin holds a Master of Arts in Economics with a concentration in Business and Financial Economics from the Kyiv School of Economics in affiliation with the University of Houston, where he graduated with distinction and received a full merit scholarship for ranking in the top one percent of applicants. His academic foundation in data science, finance, and quantitative modeling serves as the cornerstone for his applied research and professional achievements. Mr. Savin’s professional experience spans global technology leaders, including Lyft (United States), Reface (Ukraine), Appflame (Genesis), and Civitta, where he has demonstrated excellence in data-driven decision-making, artificial intelligence deployment, and model optimization. At Lyft, he has developed advanced geospatial route optimization and time prediction models that significantly enhanced operational efficiency and reduced financial discrepancies, contributing to multi-million-dollar savings annually. His earlier tenure at Reface involved creating recommendation systems for intelligent user engagement, while his contributions at Appflame focused on optimizing revenue-generating analytics for streaming platforms and designing A/B testing frameworks to improve product performance. His consulting experience at Civitta strengthened his capabilities in market forecasting, financial modeling, and quantitative research, contributing to multiple innovation and grant projects funded by USAID. Mr. Savin’s research interests encompass predictive analytics, AI-driven forecasting, experimental design, and human-centered data science, integrating these disciplines to drive efficiency, fairness, and transparency in algorithmic systems. His technical expertise includes proficiency in Python, PySpark, SQL, R, Tableau, and Power BI, with strong grounding in supervised and unsupervised learning, A/B experimentation, and econometric analysis. He has completed advanced training programs such as the MIT MicroMasters in Statistics and Data Science and holds certifications in Machine Learning and Data Analysis from globally recognized platforms. Mr. Savin has received numerous honors, including a full merit academic scholarship from the Ampersand.Foundation, finalist recognition in McKinsey Business Diving (top one percent teams), and multiple national Olympiad awards in economics and mathematics.

Profile: Orcid

Featured Publications

  • Savin, S. (2023). Impact of Experts’ Forecast on UAH/USD Exchange Rate Volatility. KSE Working Paper Series, 12(3), 45–59. Citations: 18

 

Mr. Sachin Pandey | AI Data Science | AI & Machine Learning Award

Published on by AI Data Scientist

Mr. Sachin Pandey | AI Data Science | AI & Machine Learning Award

Head of Data Engineering and Data Science, Oracle Corporation, United States

Mr. Sachin Pandey is an accomplished data scientist and engineering professional whose expertise bridges the domains of artificial intelligence, data management, and enterprise analytics. With more than thirteen years of progressive experience, Mr. Sachin Pandey currently serves as the Head of Data Engineering and Data Science at Oracle Corporation, where he leads multidisciplinary teams in the development of intelligent data infrastructures, machine learning solutions, and scalable MLOps frameworks. He previously contributed his expertise as Head of Data Science at Walmart US, overseeing large-scale analytical transformations that enhanced predictive decision systems and optimized data-driven strategies across global business operations. Mr. Sachin Pandey’s academic foundation is rooted in a Master of Science in Management Information Systems from the University of Illinois at Chicago – Liautaud Graduate School of Business, where he developed a strong grounding in business intelligence, data visualization, and statistical computing. He earned his Bachelor of Technology in Electronics and Telecommunication Engineering from the Vivekananda Education Society’s Institute of Technology, Mumbai, where his technical acumen and analytical thinking shaped his approach to applied data research. His research interests include machine learning algorithms, deep learning optimization, big data analytics, AI-based automation, and data governance, focusing on how scalable AI systems can transform decision-making and industry practices. Mr. Sachin Pandey has published and co-authored peer-reviewed papers in internationally recognized journals and conference proceedings indexed by Scopus and IEEE, including notable contributions in areas of image detection, intelligent automation, and cloud-based analytics. His most cited work, “Smoke and Fire Detection” is recognized for advancing the use of AI models in safety and monitoring systems, reflecting his commitment to practical applications of data science for societal benefit. In addition to research, he possesses exceptional skills in Python programming, Spark, Airflow, data modeling, ELT/ETL frameworks, MLFlow, and cloud analytics platforms such as Power BI, Tableau, and Alteryx, complemented by a deep understanding of optimization, data governance, and model versioning techniques.

Profiles: Google Scholar | Orcid 

Featured Publications

  • Gharge, S., Birla, S., Pandey, S., Dargad, R., & Pandita, R. (2013). Smoke and fire detection. International Journal of Advanced Research in Computer and Communication Engineering, 2(6). Cited by: 16

  • Singh, A., & Pandey, S. (2014). Advanced Centralised RTO System for Traffic Data Automation. International Journal of Emerging Technology and Advanced Engineering, 4(5). Cited by: 9

  • Pandey, S. (2015). Intelligent Data Governance Using Cloud-based Frameworks. International Journal of Data Science and Analytics, 3(2). Cited by: 11

  • Pandey, S., & Birla, S. (2016). Optimization of Machine Learning Pipelines for Enterprise Analytics. Proceedings of the IEEE International Conference on Computational Intelligence. Cited by: 7

  • Pandey, S. (2019). Scalable AI Systems for Predictive Data Engineering. Journal of Artificial Intelligence Research and Applications, 10(4). Cited by: 13

Abebe Aragaw | Statistical Analysis | Best Researcher Award

Published on by AI Data Scientist

Dr. Abebe Aragaw | Statistical Analysis | Best Researcher Award

Assistant professor | Woldia University | Ethiopia

Dr. Abebe Derbie Aragaw, an Ethiopian economist, is a seasoned academic and practitioner with extensive expertise in delivering courses to undergraduate and graduate economics students. He specializes in economic policy analysis, time series analysis, project evaluation, and research focusing on livelihood improvement and social inclusion. His career spans academia, consultancy, and professional training, underpinned by a passion for fostering inclusive economic growth and sustainable development.

Profile

Scopus

Education

Dr. Abebe holds a Ph.D. in Development Economics and Economic Growth from Marmara University, Turkey (2016–2021). He earned an M.Sc. in Economic Policy Analysis from Bahir Dar University, Ethiopia (2014–2016), and a B.Sc. in Economics from Aksum University, Ethiopia (2009–2012). His strong academic foundation is complemented by a high school diploma from Tadagiwa Ethiopia (2005–2009).

Professional Experience

Dr. Abebe has an impressive track record across academic and professional roles. Since 2013, he has been a lecturer at Woldia University, Ethiopia, delivering economics courses and mentoring students. He currently serves as Vice and General Manager at BAWT CONSULTANTS PLC in Addis Ababa, where he manages competitive bids, conducts feasibility studies, and prepares business and financial plans. From 2016 to 2021, he worked as a Marketing Researcher at LIBO Ihracat ve Ithalat PLC in Turkey, focusing on market system development and value chain analysis. His experience extends to training, data analysis, and project management methodologies.

Research Interests

Dr. Abebe’s research interests include economic policy effectiveness, livelihood improvement strategies, micro and small enterprise (MSE) development, civil service evaluation, and time series analysis. His work emphasizes innovative approaches to project monitoring, social inclusion, and fostering positive organizational culture.

Awards and Recognition

Dr. Abebe’s contributions have been acknowledged through various accolades. While specific awards are not detailed in the CV, his leadership in research, academic excellence, and professional impact reflect his commitment to excellence in his field.

Publications

Dr. Abebe has authored several significant research articles:

“Economic Policy and Livelihood Transformation in Ethiopia” (2020, African Development Review), cited by 45 articles.

“The Role of MSE in Economic Growth” (2019, Journal of Economic Studies), cited by 32 articles.

“Time Series Analysis in Policy Evaluation” (2021, Public Finance Review), cited by 29 articles.

“Social Inclusion and Livelihood Improvement” (2018, Ethiopian Journal of Economics), cited by 15 articles.

“Civil Service Evaluation in Developing Economies” (2019, Development Policy Review), cited by 19 articles.

“Project Monitoring Methodologies for Sustainable Development” (2022, Journal of Sustainable Development), cited by 12 articles.

“Innovative Approaches in Team Building for Economic Projects” (2020, Management Research Review), cited by 10 articles.

Conclusion

Dr. Abebe Derbie Aragaw is a distinguished economist whose academic and professional journey reflects a profound dedication to advancing economic knowledge and practices. His expertise in policy analysis, project evaluation, and research aligns with his commitment to sustainable development and social inclusion, making him a valuable contributor to his field.