About

Greetings from the Silicon Valley of India! I'm Jahnavi, a multifaceted tech enthusiast thriving in the dynamic city of Bangalore. As a data scientist and software developer, I weave insights into the vibrant tapestry of code. Proficient in Python, HTML, CSS, JavaScript, etc. I'm a digital artisan crafting analytical stories while balancing the intricacies of both realms. Beyond algorithms, I'm a perpetual student, fueled by caffeine and curiosity, often found under the stars, accompanied by a coffee cup and a loyal puppy. My journey, a tale of data discoveries, literary adventures, and the cultural kaleidoscope of Bangalore, is an ever-evolving symphony shaped by code, coffee, canine companionship, and the cosmic allure.

Projects

Path-hole Detection Using YOLOv8

• Utilized Deep learning concepts such YOLOv8 to detect discrepancies on the path (road) through real-time object detectors, offering cutting-edge performance in terms of accuracy and speed.
• Executed as a team and this project could be further developed to be used in Automated-Driving systems.

Optimizing Crop Forecasts: Leveraging Feature Selection and Ensemble Methods (TURMOCAT journal)

• Conducting cutting-edge agricultural research, my project delves into advancing crop forecasting through the integration of Ensemble Techniques.
• By refining traditional models with Classification Techniques of Machine Learning, including Decision Tree, Support Vector Machine, and Random Forest, the study aims to elevate crop prediction accuracy. Worked in a team.