Gayatri Rao, Mechanical Engineer, took a career break in 2016 and later moved into data transmission through self-learning and structured advanced training with AI & Ml Great Learning. Overcoming the initial problems, she gained confidence in teaching and practical learning.
Gayatri Rao, Mechanical Engineer With 10 -year experience, in 2016, I had to take a career break to lift your twins. The return to labor through the years was scary, especially on the fast-paced labor market due to Covid-19.
She wanted a career that was in line with her interests, offering flexibility, and during the closure she saw the possibility in remote work. She started studying Python via the Internet, making her first programming steps.
Her initial knowledge led her to a real problem, analyzing the data on the oscilometry of the lungs for the candidate of science. Student. Without official preparation in regression analysis or machine training, she fought for finding the right approach. Endless searches on the Internet and hours of testing and mistakes eventually helped her solve the problem. This experience has aroused deep interest in data transmission, and it realized that the next logical step was structured training.
Hearing positive reviews about excellent training in her family, she decided to improve the skills through PG’s PG Program in AI & Machine Learning Proposed by Texas McCombs in partnership with Great Learning. Initially, she was not sure of the experience of learning on the Internet, but teaching classes exceeded her expectations.
The industry professionals offered practical training, answered each question and gave reviews in the real world. Their presence, as well as the leadership, played a very important role in its learning process.
Interactive classes, group discussions and practical projects helped her confidently in the data science. The fact that it once seemed preferred was managed with a structured manual. The transition from mechanical engineering to AI and ML was a difficult but correct mentoring changed everything.
Looking back, Gayatri believes that persistence and daily discipline are key to advanced training. Studying something new is difficult, but to take small and consistent steps leads to long-term success. Now, with a durable basis in the science, it is ready to restart with confidence.
Refusal of responsibility-
(This article is part of the DMCL Connect Connect, a paid publication initiative.
