After 16 years in data analysis and science, my work has become mostly API integration and dashboard generation, leaving little room for innovative data exploration. Any suggestions?
A shift in perspective often helps to regain enthusiasm. In periods where routine dashboard creation or API integration dominates the work schedule, I found it beneficial to allocate a portion of my time to investigate emerging methodologies or alternative applications of data science. This approach allowed me to dive into machine learning operational frameworks and explore innovative use cases, which revitalized my interest. Allocating time for personal projects or research with new data types may offer similar opportunities to inject creativity and a sense of exploration into your professional life.
hey, ive been feeling same. started playing with random ml models on diverse datasets. shifting from routine dashboards to tinkering on side projects reenergized my interest, even if its a small step. sometimes breaking the monotony uncover new paths.
hey, maybe try mergin routine tasks with some quirky side projects? sometimes fiddlin with novel datasets can bring back that lost spark. have ya ever dabble in less common techniques, or found unexpected twists in your work? what sorta innovations get u pumped?
In my experience, the monotony of recurring tasks can be alleviated by integrating innovative approaches into your current role. I began to explore emerging data science fields and sought opportunities to collaborate on interdisciplinary projects within my organization. This approach enabled me to experiment with alternative analytical methods while delivering business value. Additionally, participating in specialized workshops and engaging with academic research allowed me to inject fresh perspectives into day-to-day tasks. Such initiatives not only enhanced my professional growth but also revitalized my passion for the broader possibilities within data science.