data scientist
e& Enterprise IoT and AI
Total years of experience :3 years, 9 Months
My responsibilities include Implementing and leading AI use cases and projects concerning different IoT sensor data, constructing Dashboards for operational data and IoT sensor data for tracking, monitoring, and deriving insights, and building machine learning models for predicting and forecasting different scenarios and use cases.
This includes training and evaluating models, constructing dashboards, experimenting with new AI use cases, and continuously deriving insights using data analysis.
Helped several companies in the US and UK make data-driven decisions that reduced costs, optimized workflows, and solved problems.
Some examples include:
Implemented predictive maintenance using machine learning in water filtration pipes for a water filtration and delivery company, reducing maintenance costs by an estimated 20-30%.
Developed a 120-hour structured deep learning curriculum for a company course, guiding learners from foundational neural networks to advanced topics like CNNs, RNNs, GANs, and transformers using 3 hands-on projects in image classification, sentiment analysis, and speech recognition.