Senjaliya Meet

I’m a Data Analyst and Machine Learning enthusiast who leverages Python, SQL, and data visualization to extract meaningful insights and improve decision-making. I enjoy building AI-driven solutions that connect real-world data to practical outcomes, and I’ve published research on ML applications in agriculture.

In my projects, I developed a real-time Cricket Ball Detection and Tracking System using YOLOv8 and OpenCV, training on a custom dataset to enhance detection accuracy. I also built a real-time Crop Recommendation system with Python (NumPy, pandas, scikit-learn) and decision trees, delivering tailored insights based on soil conditions to increase farmer yield.

Alongside data-focused work, I’ve done freelance web development—building a static website and running comprehensive data analysis for a new FMCG brand startup using web scraping and supporting market data. I’m also committed to data-driven thinking through certifications from Coursera, IIT Madras (NPTEL), IIT Bombay (Spoken Tutorial), and additional data science training.