Bajie Blessing
Entry-level Quantum Computing Researcher and Computational Physicist with a B.Sc. in theoretical Physics and an M.Sc. in Data Science. Independently developed numerical quantum simulation projects including a 1D Schrödinger equation solver, quantum harmonic oscillator eigenvalue analysis, wavepacket time evolution simulations, and an SDP-based quantum entanglement detection framework all implemented from theoretical first principles in Python.
Background in IT infrastructure and data analytics develops complementary skills in systems thinking, data pipeline design, and applied scientific computing. Seeking an entry-level role or research position in quantum computing, quantum simulation, or computational physics.
Experience
SEO Analyst & Data Scientist
WaggingGreens
Lagos, Nigeria · Remote
WaggingGreens is a Nigerian e-commerce brand; TechCabal is Africa's leading technology media platform. Contracted to both as SEO and data analyst. Designed and executed a complete Python data pipeline on 406,000+ transaction records: data cleaning, cohort segmentation, retention matrix computation, RFM customer classification, and statistical visualisation demonstrating end-to-end scientific computing capability.
Identified a 75.9% first-month customer churn rate through cohort analysis and produced a data-backed strategy projected to recover $61M in latent revenue translating quantitative findings into actionable recommendations for non-technical stakeholders. Applied GA4, Google Search Console, Screaming Frog, and SEMrush to diagnose and resolve technical site issues developing strong diagnostic and data interpretation skills across complex technical systems.
IT Infrastructure Engineer
Swift Networks
Lagos, Nigeria
Swift Networks is a Nigerian internet service provider operating fibre-optic broadband infrastructure across Lagos. Configured and reconfigured routers and network equipment at client sites, diagnosing connectivity faults and ensuring stable, high-performance broadband delivery across residential and commercial premises.
Performed database checks on network management systems during site visits — logging equipment status, fault histories, and configuration records for the operations team. Managed end-to-end client-site deployments: physical installation, cable testing, equipment commissioning, and post-installation diagnostics — developing systematic, methodical fault-finding skills directly applicable to experimental quantum hardware support.
Collaborated with NOC (Network Operations Centre) engineers to escalate and resolve complex network incidents, gaining experience working within technical teams under operational pressure. Documented all site visits, equipment configurations, and resolutions — maintaining accurate technical records for a growing customer base across Lagos.
Education
ROME BUSINESS SCHOOL
M.Sc.
Relevant coursework: Machine Learning, Statistical Inference, Big Data Analytics, Data Engineering, Bayesian Methods, NLP, Research Methodology
FEDERAL UNIVERSITY
B.Sc.
Core physics foundation: Quantum Mechanics I & II, Mathematical Physics, Classical Mechanics, Electromagnetism, Statistical Mechanics, Computational Physics, Numerical Methods — directly underpins all quantum simulation work above
Skills
Quantum Computing Projects
1D Schrödinger Equation Solver
Python · NumPy · SciPy · Matplotlib
Built a numerical framework to solve the time-independent Schrödinger equation using finite difference discretisation of the second-derivative operator into a Hermitian matrix Hamiltonian. Implemented numerical diagonalisation to extract the discrete energy spectrum and reconstruct eigenfunctions (wavefunctions) ψ(x), with probability density visualisation.
Validated results against known analytical solutions for standard potential wells; performed grid refinement convergence analysis to confirm numerical stability and accuracy. Output: discrete bound-state energy spectrum, eigenstate wavefunction plots, normalization verification — repository includes convergence.txt and errors.txt for full reproducibility.
Quantum Harmonic Oscillator — Numerical Eigenvalue Solver & Wavefunction Analysis
Python · SciPy Sparse · NumPy · Matplotlib
Constructed an operator-based Hamiltonian formulation of the quantum harmonic oscillator and solved numerically using a sparse matrix eigensolver (scipy.sparse.linalg) for computational efficiency. Extracted quantised energy levels and visualised wavefunction parity structure and nodal patterns for the first several eigenstates — benchmarked against the known analytical solution E_n = ℏω(n + ½).
Implemented full convergence analysis with output logs (energies.txt, convergence.txt) demonstrating spectral stability as grid resolution increases. Repository includes quantum_harmonic_oscilator.py and schroodinger_solver.py — clean, documented scientific code following reproducible research standards.
Quantum Wavepacket Time Evolution
Python · NumPy · SciPy · Matplotlib (Animation)
Simulated the time evolution of a quantum wavepacket governed by the time-dependent Schrödinger equation, implementing a split-operator or Crank-Nicolson numerical propagation scheme. Generated animated visualisation (quantum_evolution.gif) showing wavepacket spreading and probability density dynamics over time — demonstrating understanding of quantum dynamics beyond static eigenproblems.
Validated conservation of norm (unitarity) and energy expectation values throughout the simulation time steps.
SDP-Based Quantum Entanglement Detection
Python · SciPy · Semidefinite Programming
Implemented a semidefinite programming (SDP) approach to detect quantum entanglement in bipartite quantum states — directly relevant to quantum information science and quantum communication applications. Applied the positive partial transpose (PPT) criterion and SDP relaxations to determine separability vs entanglement for test density matrices.
Demonstrates understanding of quantum information theory beyond simulation — relevant to quantum error correction and near-term quantum device characterisation.
Certifications & Professional Development
Machine Learning Specialization (3 courses)
Stanford University / Andrew Ng — Coursera
IBM Data Science Professional Certificate
IBM / Coursera
Google Data Analytics Professional Certificate
Google / Coursera
Microsoft Certified: Data Analyst Associate
Microsoft (Power BI)
Google Analytics Certification (GA4)
Research Interests & Future Directions
Variational Quantum Eigensolver (VQE)
Quantum Error Correction
Physics-Informed Neural Networks (PINNs) for quantum systems
Topological quantum systems & Aharonov–Bohm effects
Quantum materials & condensed matter simulation
Open quantum systems (Lindblad formalism)
Machine learning for Hamiltonian inverse problems
Quantum advantage in optimisation
Additional Information
Nationality
Nigerian
Languages
English (fluent)
Availability
Immediately available. Open to remote, hybrid, or relocation for the right quantum computing opportunity.
GitHub
All quantum projects publicly available at github.com/vanessaBaj/Quantum-Computing-Portfolio fully documented with reproducible code.