Md Munazir Hussain

AI Researcher

Norwood, Massachusetts, United States10 yrs 2 mos experience

Most Likely To SwitchAI ML Practitioner

Key Highlights

Over 10 years in data science and AI/ML.
Led teams to enhance cybersecurity for top global brands.
Developed algorithms with <1% false-positive rate.

Stackforce AI infers this person is a Cybersecurity expert with a strong focus on data science and machine learning.

Contact

mohammed2015ds@gmail.com LinkedIn

Skills

Core Skills

CybersecurityMachine Learning

Other Skills

AWS SageMakerAmazon Web Services (AWS)Apache SparkApplication SecurityArtificial Intelligence (AI)Big DataCareer ManagementCloud ComputingCloud DevelopmentCompetency Based InterviewingConfluenceCustomer EngagementCustomer RetentionCustomer SatisfactionCyber Defense

About

With over 10 years of experience in data science and AI/ML, I’ve spent the past 6 years leading efforts to protect some of the world’s top brands—in gaming, finance, banking, retail, and aviation—against sophisticated cyber threats targeting their web and mobile platforms. My work has driven the development of advanced security algorithms that significantly improved attack mitigation rates, all while maintaining a false-positive rate below 1%. Beyond the technical execution, I’ve led cross-functional teams, managed end-to-end project lifecycles, and translated complex business challenges into scalable, data-driven solutions. I bring a strategic mindset, hands-on technical depth, and a strong track record of delivering measurable impact across cybersecurity, telecommunications, and travel sectors. I’m passionate about building and leading high-performing teams that turn data into defensible business value.

Experience

10 yrs 2 mos

Total Experience

2 yrs

Average Tenure

6 yrs 6 mos

Current Experience

Akamai technologies

4 roles

Senior II Lead Data Scientist

Promoted

Oct 2025 – Present · 8 mos

Leading a team of 8 data scientists on the Bot Management Platform (BMP), protecting hundreds of global customers, including the world’s largest gaming platform.
Developed and deployed machine learning algorithms that reduced false positives to <0.1%, safeguarding customer interests while ensuring seamless experiences for legitimate users.
Driving research into false negatives and emerging attack patterns, building adaptive detection models that stay ahead of evolving bot threats.
Partnering cross-functionally with engineering and product leadership to translate complex data insights into strategic product improvements, directly enhancing BMP’s accuracy, scalability, and customer trust.
Serving as a technical and strategic advisor to top-tier customers, leading high-stakes collaborations to counter sophisticated automated attacks and strengthen platform defenses.

Customer RetentionCyber DefenseCybersecurityMachine LearningData Science

Senior II Data Scientist

Mar 2025 – Sep 2025 · 6 mos

Conducted advanced threat analysis and built scalable detection frameworks to counter new bot attack patterns.
Collaborated with customers to minimize FN/FP challenges, contributing to false positives <0.1% across global deployments.
Spearheaded product-driven research on emerging bot behaviors and industry-specific attack vectors.

CybersecurityMachine LearningCustomer Satisfaction

Senior Data Scientist

Promoted

Mar 2020 – Mar 2025 · 5 yrs

Owned key research areas for bot management, delivering impactful detection solutions for large-scale deployments.
Designed and implemented automation tools to enhance efficiency and improve BMP’s detection coverage.
Acted as a trusted advisor to customers, ensuring smooth adoption of advanced detection features.

Python (Programming Language)Statistical ResearchApplication SecurityCybersecurityMachine LearningData Science

Data Scientist

Oct 2019 – Feb 2020 · 4 mos

Joined the Bot Management Premier team, contributing to core detections and research pipelines.
Focused on improving bot mitigations and adaptability of bot detections at a global scale.

Exploratory Data AnalysisPython (Programming Language)Cybersecurity

Ericsson

2 roles

Data Scientist (Stage-6)

Apr 2019 – Sep 2019 · 5 mos · On-site

Utilized data science expertise to uncover network failures and degradation of RAN-related KPIs (Key Performance Indicators) such as call drop rate and block call rate for Indian telecommunication companies, including Bharti Airtel.
Leveraged advanced analytics and research to develop predictive models capable of anticipating network failures before they occur, ensuring network stability and improved customer experience.
Trained machine learning classification models using Apache Spark for large-scale data processing, achieving an accuracy of 80% in predicting KPI degradation and identifying root causes.
Deployed the trained model for real-time use with gRPC for efficient communication, enabling proactive network maintenance and optimization.
Played a key role in integrating the developed models into a user-friendly portal designed to track KPI behavior across physical mobile towers.
The portal provides real-time insights including:
Identification of degrading KPIs
Severity classification (low, medium, critical)
Top five contributing factors
Recommended actions for remediation