Data Science Consultant - Freelance Consulting - Bellflower, CA (Hybrid)
(2025-12)
- Enable clients to make informed decisions by translating data into actionable insights, collaborating with organizations across diverse industries to solve complex business challenges.
- Communicate findings effectively to clients following data cleaning, preparation, visualization, and predictive model building via R and Python programming.
- Optimize solution performance through iterative refinement in collaboration with C-level clients; manage end-to-end workflows, such as requirements gathering, data collection, and model deployment.
- Unlock full potential of client data by uncovering growth opportunities, consistently delivering results that drive organizational efficiency while reducing related expenses.
- Quantified racial disparities in CA's four-year college graduation rates by conducting exploratory analysis of complex Integrated Postgraduation Education Data System (IPEDS) within National Center for Education Statistics (NCES).
- Identified institutions with largest graduation gaps across ethnicities through development of predictive modeling framework using XGBoost.
- Advanced equity-focused research by integrating machine learning with disparity analysis to move beyond descriptive statistics and into predictive insight.
- Estimated prevalence of Long COVID diagnoses through hypothesis testing and comparative statistical analysis.
- Delivered structured, evidence-based conclusions by applying A/B testing methodology across large-scale datasets to evaluate differences in population health outcomes.
UC Irvine Texera Workshop Teacher Assistant - El Camino College - Torrance, CA
(2025-11)
- Empower community college students with high-impact learning experiences as key participant and host for UC Irvine Texera's Teaching Assistant Workshop held directly at El Camino College.
- Expand exposure to applied analytics for 50 students by facilitating three-day data science workshops covering EDA, statistics, and Python integration fundamentals, as well as introductory machine learning techniques.
- Ensure accessibility and relevance of integrated instructional content within Texera's cloud-based platform, a proprietary open-source system for data analytics and workflow management with AI/ML capabilities.
- Sustain campus-wide data science engagement as Advisor to Data Science Club, recruiting and guiding student competitors across national analytics competitions.
- Secured second-place award in multi-university DataFest competition by analyzing seven years of commercial real estate leasing data and supplying strategic, data-backed recommendations (2025).
- Pinpointed statistically significant shifts in high-tech office leasing behavior through assessment of pre- and post-pandemic lease size trends using hypothesis testing (H0 vs H1).
- Received positive feedback from enterprise for suggestions to renegotiate lease terms, shorten durations, and implement rent reduction strategies based on comparative trend analysis.
- Accelerated data literacy campus-wide, allowing accessible model experimentation through hands-on support of Python integration within Texera's drag-and-drop analytics platform.
- Equipped non-programming students with hands-on data manipulation skills by teaching graph visualization selection strategies based on categorical versus numerical data types.
- Reinforced machine learning comprehension by assisting students in manipulating models and interpreting output during applied workshop exercises.
- Strengthened inclusive instructional practices by completing equity-focused mentorship training and applying differentiated learning strategies across varied student populations.
- Projected to determine impact of AI on entry-level labor market, directing four-student research team to evaluate decline trends in middle-class employment across racial demographics for Data Jam's 2026 competition.
- Enhanced research progress by designing targeted framework and initiating EDA process to investigate workforce stratification and AI-driven labor displacement patterns.
Advanced Math Tutor (Concurrent Role) - El Camino College - Torrance, CA
(2021-10)
- Strengthen pass rates and final grades for struggling statistics students by diagnosing conceptual gaps and restructuring instruction around applied, real-world problem solving rather than formulaic memorization.
- Ensure accessibility of course-level materials for beginners, translating complex statistical output into actionable insights for students and faculty; often leverage individualized teaching approaches to drive resonance.
- Enhance student mastery of statistical reasoning by reframing complex quantitative problems into digestible components, championing independent application of learned methods.
- Earned El Camino College Best Tutor Award in first year by delivering consistently high student satisfaction and measurable academic improvement across tutoring cohorts.
- Reduced failure rates among previously unsuccessful statistics students by implementing structured problem interpretation techniques and tool-based analysis, such as calculator platforms and StatCrunch.
Success Mentor (Concurrent Role) - Cerrittos College - Norwalk, CA
(2019-07 - 2025-01)
- Drove academic retention among diverse and first-generation college students by providing equitable mentorship and addressing barriers related to financial stress and resource awareness.
- Ensured student success in academic goals by proactively and systematically monitoring academic progress.
Relocation - Career Break - Norwalk, CA
(2016-10 - 2019-07)
- Relocated from Algiers, Algeria to Norwalk, CA while pursuing U.S.-based academic data science roles.
Math Teacher - USTHB - Algiers, Algeria
(2013-10 - 2016-10)
- Built mathematical competency of +300 undergraduate students by translating advanced statistical concepts into structured, real-world problem-solving frameworks at University of Science & Technology Houari-Boumedienne (UTSHB); emphasized applied data interpretation over rote calculation.
- Fostered analytical thinking, self-sufficient data interpretation, evidence-based reasoning, and problem deconstruction.
