Skills
Cell Prototyping & Design (Cylindrical, Pouch, Prismatic, Coin Cells),
Battery Testing & Validation (Performance, Abuse, and Lifetime Testing),
Electrode Material Development (Anode & Cathode Optimization),
Electrochemical Characterization (XRD, FTIR, NMR, XPS, Potentiostat, EIS),
Cell Failure Analysis & Root-Cause Diagnostics,
Battery Aging & Degradation Studies (SOH, Cycle Life, Capacity Fade),
Slurry Processing & Coating Optimization,
Solid-State & Sodium-Ion Battery Research,
Electrochemical & Battery Performance Modeling,
Physics-Based and Data-Driven Predictive Modeling,
MATLAB, Python, Origin 2018 for Battery Analysis,
Battery Lifetime Estimation & SOH Prediction,
CFD & FEA Simulation (Basic Knowledge of Ansys, COMSOL),
Pilot-Scale Cell Manufacturing & Scale-Up,
Quality Control & Process Improvement,
Reducing Production Lead Time & Costs,
Technology Transfer from R&D to Production,
Python, MATLAB for Data Processing & Visualization,
Statistical & Trend Analysis for Battery Performance,
Excel (Advanced), Origin 2018 for Data Interpretation,
Technical Report Writing & Documentation,
Collaborating with Cross-Functional R&D Teams,
Industry Research Collaboration,
Patent & Intellectual Property Awareness,
Strong Problem-Solving & Analytical Thinking,
Effective Communication & Technical Presentation,
Project Management & Cross-Functional Collaboration,
Adaptability & Innovation in Fast-Paced Environments
About
Battery R&D | Cell Design & Testing | Electrochemical Analysis | Energy Storage Innovation
Passionate Battery Research Scientist & Engineer with hands-on experience in cell prototyping, performance testing, and electrochemical analysis for lithium-ion and next-generation energy storage technologies. Proven expertise in electrode material optimization, failure analysis, and predictive modeling to enhance battery life, safety, and efficiency.
Key strengths include:
• Battery Cell Development (Cylindrical, Pouch, Prismatic, Coin Cells)
• Electrochemical Characterization (XRD, FTIR, NMR, XPS, Potentiostat, EIS)
• Cell Failure Analysis & Lifetime Prediction (SOH, Cycle Life, Capacity Fade)
• Data-Driven Modeling & Simulations (Python, MATLAB, Origin 2018)
• Process Optimization & Scale-Up (Slurry Processing, Manufacturing Efficiency)
With a strong background in research and industry collaboration, I am committed to driving innovation in sustainable energy storage. Open to opportunities in Battery R&D, Cell Design, and Energy Storage Technology. Let’s connect to discuss battery advancements and future collaborations!
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