Lalasa CM-020
@lalasacm020
Enthusiastic student skilled in data science and machine learning.
ZimbabweWhat I'm looking for
I am an enthusiastic student currently pursuing a B.Tech in AI & ML, with a strong focus on problem-solving and creativity. My academic journey has equipped me with practical experience in data science and machine learning, allowing me to contribute effectively to various projects. I thrive in dynamic environments and am eager to apply my skills to real-world challenges.
Throughout my education, I have engaged in several projects, including a web application for venue allocation and a hostel management system. My role in these projects involved research, documentation, and applying predictive machine learning models to solve complex problems. I have also participated in technical competitions and workshops, enhancing my knowledge and skills in the field.
With a solid foundation in programming languages such as Python, Java, and C, along with my soft skills in time management and team collaboration, I am well-prepared to make insightful contributions to any team. I am excited about the opportunity to further develop my skills and contribute to innovative projects.
Experience
Work history, roles, and key accomplishments
AI & ML Student
ShriVishnuEngineerinGCollegefor Women
Sep 2023 - Present (2 years 9 months)
Developed a web application for venue allocation, contributing to research and documentation. Created a hostel management system to facilitate online room bookings for students.
Diploma (CME)
Swarnandra Engineering&Technlogy
Sep 2020 - Present (5 years 9 months)
Applied predictive machine learning and deep learning models using Naive Bayes and Random Forest for student scholarship prediction. Conducted a literature survey on scholarship prediction using machine learning and data mining techniques.
Education
Degrees, certifications, and relevant coursework
ShriVishnuEngineerinGCollegefor Women
B.Tech, AI & ML
Grade: 7.75 CGPA
Currently pursuing a Bachelor of Technology in AI & ML, maintaining a CGPA of 7.75. The curriculum focuses on artificial intelligence and machine learning principles.
Swarnandra Engineering&Technlogy
Diploma, Computer Engineering
Grade: 71.54
Completed a Diploma in Computer Engineering, achieving a 71.54% score. This program provided foundational knowledge in engineering and technology.
Availability
Location
ZimbabweAuthorized to work in
Job categories
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