Shakil Ansari

I’m a data science practitioner with a multidisciplinary foundation in Mechatronics Engineering and academic training in Life Sciences (Botany). This unique blend allows me to approach problems at the intersection of engineering, biology, and computation with a systems-thinking mindset.

My journey into data science has been fueled by deep curiosity and a drive to build practical, impactful solutions. I’ve built end-to-end projects in machine learning, natural language processing, and time series forecasting — including a fake news detector using LSTM & GloVe embeddings, an RNN-based lyrics generator, and a stock price predictor using ARIMA/SARIMA. I enjoy exploring both statistical rigor and neural architectures to solve real-world problems.

My background in education and research has sharpened my ability to communicate complex concepts clearly — whether it’s teaching high school mathematics and physics or analyzing planetary data during my time as a research trainee at Abyom SpaceTech. These experiences have helped me cultivate strong analytical thinking, pattern recognition, and an instinct for structure and clarity in data.

I’m proficient in tools like Python, SQL, scikit-learn, Keras, Pandas, Tableau, and Power BI, and regularly work with Git and Jupyter notebooks. I’m currently expanding my knowledge through formal training at the Boston Institute of Analytics and the IBM Data Science Professional Certificate.

I believe in lifelong learning, cross-disciplinary thinking, and building systems that balance precision with creativity. Whether I’m writing code, training a model, designing a dashboard, or mentoring a student, I approach every task with intensity and curiosity. In the long term, I aim to apply AI to solve challenges in education, automation, and ecological sustainability.