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Suvin Majithia

@suvinmajithia

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Data protection expert with a strong background in machine learning.

Canada

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What I'm looking for

I am looking for a role that fosters innovation and collaboration, where I can leverage my skills in data protection and machine learning to drive impactful solutions.

I'm a dedicated Senior Technical Systems Analyst specializing in data protection, with a proven track record of developing threat detection pipelines and enhancing security measures at the Royal Bank of Canada. My expertise in User and Entity Behavior Analytics (UEBA) has enabled proactive identification of database anomalies, significantly improving incident response times.

In addition to my role at RBC, I have honed my skills as a Machine Learning Engineer Trainee, where I led multiple applied ML projects that utilized TensorFlow and Keras. My work includes developing a semantic similarity engine that improved candidate-job matching accuracy by 20%. I thrive on leveraging data to drive insights and solutions, and I am passionate about using technology to enhance security and operational efficiency.

Experience

Work history, roles, and key accomplishments

Current

Machine Learning Data Specialist

Current

Alignerr AI

May 2025 - Present (5 months)

● Spearheaded data analysis of speech detection datasets (18K+ audio samples), enabling training of voice activity detection models that achieved a 25% gain in classification accuracy across semantic and non-semantic tasks.
● Optimized audio preprocessing and annotation pipelines, boosting throughput by 15% and reducing QA variance by 30%, improving model generalization.

Python SQL Excel Jupyter Notebooks

Senior Technical Systems Analyst

Royal Bank of Canada

Aug 2024 - Apr 2025 (8 months)

● Developed threat detection pipelines in Imperva DSF Hub using (User and Entity Behaviour Analytics) UEBA models, enabling proactive identification of anomalous database activities and early threat detection.
● Conducted data analysis using Imperva DSF dashboards, extracting actionable insights that enhanced real-time monitoring by 20% and expedited incident response.

Imperva UEBA Data Analysis Threat Detection Incident Response Putty

Machine Learning Engineer Trainee

Apziva

Aug 2023 - Jul 2024 (11 months)

● Led 5 applied ML projects using TensorFlow and Keras to solve challenges in recruitment, document automation, and e-commerce analytics.
● Applied CNN/RNN models and sentiment analysis on 10K+ records, using feature ranking and anomaly detection to uncover behavioral outliers and improve model accuracy.

TensorFlow Keras BERT Machine Learning CNN RNN

Security Analyst

SkyLine Info-Tech

Jan 2021 - Jan 2023 (2 years)

● Monitored network activity via Splunk and Azure Monitor, identifying and escalating 89 high-severity threats.
● Automated detection workflows, cutting incident response time by 91%. Analyzed IOCs and log patterns to detect lateral movement, applying Zero Trust (NIST, ISO 2700x) to boost accuracy and shrink attack surface by 15%.

Splunk azure monitor IOC Analysis Network Security NIST ISO 2700x Threat Detection

Education

Degrees, certifications, and relevant coursework

University of British Columbia

Certification in Data Science, Data Science

2023 - 2024

Grade: 91

• Achieved 91% in the Data Science certification program, recognized by instructors for technical excellence and analytical proficiency, leading to consistent top performance throughout the course.

New York Institute of Technology

Master of Science, Cybersecurity

2018 - 2020

Activities and societies: Coursework: Network Security, Intrusion Detection and Prevention, Cryptography, Incident Response

Completed a Master of Science in Cybersecurity, focusing on network security, intrusion detection, and incident response. Developed an ML-based DDoS detection system for the capstone project, achieving 91% accuracy.