Saiby User
@saibyuser
B.Tech software engineer focused on machine learning, web analytics, and building data-driven solutions.
What I'm looking for
I am a B.Tech graduate in Computer Science Engineering with hands-on experience developing machine learning models, building web applications, and analyzing user behavior. I have implemented models using Random Forest, MLP, and LSTM, and deployed workflows with Flask while collaborating through GitHub and presenting results to stakeholders.
I interned as a Python Machine Learning Intern and currently work as an Apprentice Trainee - Web Analyst, where I optimize model performance, automate ML workflows, and derive insights from Google Analytics and Data Studio to improve user experience and conversions.
Experience
Work history, roles, and key accomplishments
Apprentice Trainee
LKQ India Private Limited
Feb 2025 - Present (8 months)
Analyzed website traffic and user behavior with Google Analytics and Tag Manager to improve UX and conversion, and built dashboards in Excel and Data Studio to track KPIs and campaign performance.
Machine Learning Intern
NextGenPro
Apr 2024 - May 2024 (1 month)
Developed and optimized classification and regression models using Python, scikit-learn, and TensorFlow, improving accuracy through feature engineering and hyperparameter tuning and automating ML workflows for deployment.
Software Engineer Intern
College Projects
Feb 2023 - May 2023 (3 months)
Built an AQI prediction system using Random Forest, MLP, and LSTM, selecting Random Forest for deployment after feature engineering and hyperparameter tuning and delivering visualizations and stakeholder documentation.
Software Engineer Intern
College Projects
Feb 2022 - May 2022 (3 months)
Developed a Java-based token generation and queue management platform that provided expected wait times and mobile token updates to improve customer queueing experience.
Education
Degrees, certifications, and relevant coursework
APJ Abdul Kalam Technological University
Bachelor of Technology, Computer Science and Engineering
2020 - 2024
Grade: 8.1 CGPA
Activities and societies: College of Engineering Kidangoor; NSS volunteer; sub-head roles in college fests and coding/quiz competitions.
Bachelor of Technology in Computer Science and Engineering completed with practical software development and data science experience, graduating with a CGPA of 8.1.
St Mary’s HSS Manarcadu
Higher Secondary School, PCMBs (Physics, Chemistry, Mathematics, Biology, Computer Science)
2018 - 2020
Grade: 95%
Higher Secondary School education (PCMBs stream) completed with a percentage score of 95%.
Girideepam Bethany Central School
Secondary School, Secondary Education
Grade: 83%
Secondary School certification completed with a percentage score of 83%.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Job categories
Skills
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