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Ayesha Mulla

Ayesha Mulla

Aspiring Data & Business Analyst | Software Developer

Mumbai, Maharashtra, India
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Joined April 2026
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Summary

Early-career data and software practitioner combining analytics, machine-learning, and full‑stack development skills. Her resume and project list show hands-on work building forecasting models, full‑stack portfolio applications, and data visualizations in Tableau/Power BI/Dash. hello
Content creator and practitioner in talent assessment and HR technology—authoring multiple PMaps blog posts and newsletters about AI video interviews, Behavioral Event Interviewing (BEI), and talent intelligence, and creating Prezi presentations on cognitive and behavioural assessments. pmapstest+4
Technical documentation and government project delivery experience at C‑DAC: responsibilities include requirement gathering, CMMI‑compliant SRS authoring, data migration, and developing backend modules (JSP, Spring Boot, PostgreSQL) for a government exam reform application. hello
Active in academic and conference research related to computer engineering and cloud computing, coauthoring a peer-reviewed conference paper on a hybrid SAACO load-balancing approach and listing NMIMS (MPSTME) affiliation during graduate studies. ieee+1

Work

Education

Projects

Writing

Role Fitment with Talent Intelligence: Hire Confidently at Scale!

April 1, 2025

Newsletter discussing skill and job ontology, talent intelligence, and how assessments help map skills to roles for better hiring and workforce planning.

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AI Video Interviews: Faster, Smarter, and Unbiased Hiring

March 1, 2025

Blog post outlining how AI-driven video interviews can speed hiring, reduce bias, and provide data-backed candidate assessments.

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What is Behavioral Event Interviewing: How Does it Work

February 1, 2025

Guide explaining Behavioural Event Interviewing (BEI), its implementation using STAR/CAR formats, and how BEI improves hiring accuracy.

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Hiring in 2026: BEI Ensures You Pick Doers

February 1, 2025

Newsletter/article advocating for structured BEI and assessment-driven hiring to surface candidates who have demonstrated competencies in past roles.

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Smart Load Balancing in Cloud Environments: A Multi-Objective Hybrid SAACO Approach

January 1, 2025

Conference paper proposing a multi-objective hybrid load-balancing model (SAACO) combining simulated annealing and ant colony optimization to improve VM allocation and cloud performance metrics.

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