
Bincy Manuel
@bincymanuel
I turn complex datasets into dashboards, anomaly insights, and faster reporting workflows.
What I'm looking for
I've analyzed network traffic datasets at the Indian Institute of Science Education and Research, using Python and statistical techniques to identify performance anomalies and improve report turnaround time by 20%.
I built entropy-based traffic analysis models for real-time abnormal-pattern detection and produced structured technical reports from cleaned, transformed, and visualized datasets using Pandas and Matplotlib.
At Null Class, I extracted, cleaned, preprocessed, and validated data with Python, built business-trend dashboards, and automated recurring reports. I also optimized SQL queries, reducing execution time by 30%.
I'm building on this work through projects in RAG customer support, optimization-based scheduling, adaptive edge security, and BioBERT-based animal disease detection, alongside an Integrated M.Sc. in Computer Science (Data Science).
Experience
Work history, roles, and key accomplishments
Research Intern
Indian Institute of Science Education and Research
Dec 2025 - Mar 2026 (3 months)
Analyzed 500 network traffic datasets using Python and statistical techniques, identifying key performance anomalies and improving report turnaround time by 20%. Implemented entropy-based traffic analysis models and cleaned, transformed, and visualized complex datasets using Matplotlib and Pandas.
Data Science Intern
Null Class
May 2024 - Jun 2024 (1 month)
Performed data extraction, cleaning, preprocessing, and validation using Python to ensure reliable, analysis-ready datasets. Built analytical reports and dashboards to monitor business trends and performance metrics, and automated recurring reporting workflows, reducing query execution time by 30%.
Education
Degrees, certifications, and relevant coursework
Sacred Heart College, Thevara
Integrated M.Sc., Computer Science (Data Science)
2021 -
Grade: 4.57 / 5.00
Pursuing an Integrated M.Sc. in Computer Science with a focus on Data Science, maintaining a CGPA of 4.57 out of 5.00.
Mary Matha H.S.S, Thrikkakara
Higher Secondary, Higher Secondary Education
2019 - 2021
Grade: 98.75%
Completed Higher Secondary Education with a score of 98.75%.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Social media
Job categories
Skills
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