Shahid Iqbal

About Shahid Iqbal

Data-Driven HR Analytics Expert | Ph.D Statistics | Six SigmaInnovative HR analytics professional with 15+ years of experience blending rigorous statistical analysis with strategic HR operations. Leveraging advanced data science techniques to drive evidence-based decision-making and operational excellence.Core Competencies• Advanced Statistical Analysis & Modeling• Data-Driven HR Analytics, Strategic Insights and Business Strategy• Quality Assurance & Control• Predictive Modeling (parametric and non-parametric test)• Skilled in Power BI, R and Microsoft Suite Education• Ph.D in Statistics Thesis:\"Statistical Modeling and Analysis of Differential Gene Expression of Microarray Data of Cancer\" Various research papers published in SCI (Science Citation Index) journals• MBA, Centre for Management Studies, Jamia Millia Islamia Central University• Post Graduate Diploma in Applied Statistics, IGNOU• BSc (Hons), Physics, Jamia Millia Islamia Central UniversityCertifications• Six Sigma Green Belt, Indian Statistical Institute, New DelhiProfessional ExpertiseData Science in HR• Apply advanced statistical techniques to uncover actionable insights from complex HR datasets• Translate intricate statistical findings into clear, impactful business recommendationsQuality Assurance & Process Optimization• Leverage Six Sigma methodologies to enhance HR operations and service delivery• Design and implement robust quality control measuresStrategic Business Analysis• Conduct comprehensive business case development, integrating data-driven insights with Operational knowledge• Utilize predictive analytics to forecast trends and inform long-term HR strategiesResearch Publications• Gene expression study of breast cancer using Welch Satterthwaite t-test, Kaplan-Meier estimator plot and Huber loss robust regression model. • Gene expression and survival analysis study of KIAA0101 gene revealed its prognostic and diagnostic importance in breast cancer. • Identification of novel diagnostic and prognostic gene signature biomarkers for breast cancer using artificial intelligence and Machine Learning assisted transcriptomics analysis. • Diagnostic, prognostic and treatment response of perilipin1 gene in breast cancer. Professional PhilosophyCommitted to pushing the boundaries of HR analytics by combining cutting-edge statistical methodologies with deep business acumen. Passionate about fostering a data-driven culture to solve complex organizational challenges and drive innovation in HR practices.

Experience

1. HR Team Leader (HR Analytics)

   Wood

   Mar 2019 — Present

   Key Responsibilities:• Lead strategic HR analytics initiatives, delivering actionable insights to C-suite executives at Wood, directly impacting organizational strategy and decision-making• Spearhead the transformation of complex, multi-dimensional HR data into high-value strategic recommendations, leveraging advanced analytics and cutting-edge visualization• Design and implement sophisticated Power BI dashboards that provide real-time, interactive insights on critical HR metrics, enabling data-driven decision-making across the organization• Execute in-depth descriptive and diagnostic analytics to uncover trends, patterns, and relationships within HR data, providing a comprehensive understanding of workforce dynamics• Translate intricate requirements into robust, scalable solutions, ensuring alignment between HR analytics outputs and overarching business objectives• Conduct analyses on key HR metrics, including predictive modeling for turnover, optimization of recruitment efficiency, deep-dive assessments of employee engagement drivers, and sophisticated workforce performance evaluations• Pioneer data-driven approaches to D&I initiatives, leveraging analytics to identify gaps, track progress, and measure the impact of D&I programs.• Develop and maintain a comprehensive succession planning framework, utilizing predictive analytics to identify high-potential employees and critical roles.• Synthesize complex analytical findings into clear, impactful narratives that drive high-level strategic planning and inform C-suite decision-making.• Lead cross-functional teams in implementing data-driven HR practices, fostering a culture of analytical thinking and continuous improvement across the organization.• Serve as a trusted advisor to senior leadership, providing expert guidance on leveraging HR analytics to enhance organizational performance, efficiency, and employee experience.

Education

• Tilka Manjhi Bhagalpur University (TMBU)

  Doctor of Philosophy - PhD, Statistics

• Jamia Millia Islamia

  Bachelor of Science (BSc), Physics

  2003 — 2006

• Indra Gandhi National Open University

  Post Graduate Diploma in Applied Statistics, Mathematical Statistics and Probability

• Jamia Millia Islamia

  Master of Business Administration (MBA): Full Time, Finance and International Business

  2006 — 2008