Sonali Kumari

I am Sonali Kumari, a final-year B.E. student in Artificial Intelligence and Machine Learning with a strong interest in data analytics and machine learning. I have hands-on experience in data preprocessing, exploratory data analysis (EDA), and building predictive models using Python, Pandas, NumPy, and scikit-learn.

I have worked on impactful projects such as an IoT-based water quality monitoring system using Random Forest and Blynk IoT for real-time alerts, a real-time sign language detection system using OpenCV and a custom dataset, and a voice privacy system (SoundCloak) designed to protect against AI-based speech recognition through adversarial audio techniques. These projects have strengthened my skills in machine learning, computer vision, and real-world problem solving.

Additionally, I am a certified Postman API Student Expert with practical experience in API testing, automation, and integration. I have a strong foundation in core computer science subjects including OOPs, DBMS, and operating systems, along with proficiency in C, C++, and Python.

 

I am passionate about leveraging data-driven approaches to solve real-world problems and continuously improving my technical skills. I am currently seeking opportunities as a Data Analyst or Machine Learning Engineer where I can contribute, learn, and grow in a dynamic environment.

Pursuing studies at BMS Institute of Technology and Management with a focus on Artificial Intelligence and Machine Learning. Gained hands-on experience through academic and self-driven projects in data analytics, machine learning, and computer vision. Worked on projects including IoT-based water quality monitoring using Random Forest, real-time sign language detection using OpenCV, and voice privacy systems. Participated in hackathons and technical activities, strengthening problem-solving and practical implementation skills. Developed proficiency in Python, C++, data analysis, and ML tools.