
Likitha Banala
@likithabanala
Computer Science Engineering graduate developing Python machine learning projects, including stress-level prediction and IoT cyber-attack detection.
What I'm looking for
I developed a stress-level prediction model using lifestyle, behavioral, and physiological factors. I prepared the dataset through preprocessing, feature selection, and exploratory data analysis.
I compared machine learning algorithms and evaluated the model with accuracy and other performance metrics, using Python, Pandas, NumPy, Matplotlib, and Jupyter Notebook.
I also developed an IoT cyber-attack detection system to classify normal and malicious network activity. The project applied classification algorithms to support early detection of potential security threats.
In my current logistics and operations internship, I assist with daily activities, maintain inventory and operational data in MS Excel, prepare reports, and support process improvement initiatives.
Experience
Work history, roles, and key accomplishments
Logistics and Operations Intern
EquAssisted
Jul 2026 - Present (3 months)
Assisted in daily logistics and operational activities to ensure smooth workflow. Managed inventory and operational data using MS Excel and maintained accurate records.
Education
Degrees, certifications, and relevant coursework
Siddhartha Institute of Technology
Bachelor of Technology, Computer Science Engineering
2022 - 2026
Grade: 7.93/10
Pursued a Bachelor of Technology in Computer Science Engineering, with a CGPA of 7.93/10.
Sri Chaitanya Junior College
Intermediate, Intermediate
2020 - 2022
Grade: 83.9%
Completed Intermediate education with a percentage of 83.9%.
MNR High School
Secondary School, Secondary School
2019 - 2020
Grade: 9.7/10
Completed Secondary School education with a CGPA of 9.7/10.
Availability
Location
Authorized to work in
Salary expectations
Job categories
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