Devi Prasad Tumula

Senior Lecturer at the University of Salford, PhD in Engineering and actively involved in applying Machine Learning and ANN models to Water Engineering problems
Summary
Devi Tumula is an esteemed Senior Lecturer with a rich background encompassing over 20 years of experience in Data Mining, specializing in Artificial Neural Networks (ANN) and Optimization. With a profound expertise in Water and Environmental engineering and 25 years as a dedicated researcher, Devi has successfully applied Machine Learning algorithms to tackle numerous engineering challenges. Devi has been instrumental in guiding PhD and research students in mastering and utilizing ANNs and Machine Learning algorithms to address real-world issues. Devi's academic journey includes studying at prestigious institutions such as BITS Pilani and IIT Roorkee.
Devi's proficiency in Machine Learning and Artificial Intelligence is extensive, covering a wide array of skills and tools. This includes Deep Learning using TensorFlow & Keras, Machine Learning with R and Python, handling Big Data with tools like PySpark and Impala, expertise in Time series analysis and Recurrent Neural Networks (RNNs), adept at Regression Modeling, Predictive Analysis, Statistical Analysis/Inference, A/B Testing & Modeling, skilled in Data Visualization with ggplot2 and matplotlib, experienced in Data Mining, Web Scraping, and Sentiment Analysis, proficient in Natural Language Processing (NLP), as well as versed in Business Intelligence and Analytics tools such as Tableau and Power BI.
In terms of programming languages, Devi's strengths lie in Python and SQL, with intermediate proficiency in R, JavaScript, and C++, along with a strong command over MATLAB. Devi Tumula currently serves as a Senior Lecturer at the University of Salford, having previously held academic positions as a Lecturer at Edinburgh Napier University and as a Research Fellow at the University of Exeter. With an illustrious career blending academia and practical applications, Devi Tumula stands out as a distinguished figure in the realms of Data Mining, Machine Learning, and Artificial Intelligence.
Keywords: Senior Lecturer, Data Mining, Artificial Neural Networks, Optimization, Water and Environmental Engineering, Machine Learning, Deep Learning, TensorFlow, Keras, Big Data, PySpark, Time Series Analysis, RNNs, Regression Modeling, Predictive Analysis, Statistical Analysis, Data Visualization, Data Mining, Natural Language Processing, Business Intelligence, Python, SQL, R, JavaScript, C++, MATLAB