Bengaluru, Karnataka, India
I work at the intersection of energy markets, data analytics, and energy storage technologies, leveraging my expertise in modeling, forecasting, and statistical analysis to drive data-informed decision-making. My experience spans building demand forecasts, conducting techno-economic evaluations, and optimizing renewable energy and energy storage systems. I have worked extensively with large datasets to analyze demand patterns, enhance system performance, and generate insights that empower stakeholders to make strategic decisions in a rapidly evolving energy landscape. At my core, I am passionate about problem-solving, fostering collaboration, driving continuous improvement, and developing impactful solutions. Let’s connect if you share a vision for advancing renewable energy systems through data-driven insights, market intelligence, and energy modeling tools.
Provided techno-economic insights, statistical demand forecasting, and macroeconomic trend analysis across the battery value chain. Collaborated with R&D, Process Technology, Marketing, and Business teams to develop cost models for advanced cathode materials and demand forecasts for next-generation anode markets—identifying multi-billion-dollar opportunities and shaping long-term planning. Delivered data-driven recommendations to the CTO, VP of R&D, and other executive stakeholders, enabling strategic decisions on product development, scale-up, and market positioning.
BIOG 1440 Holding Lab Sections, grading and hosting office hours on fundamentals of comparative physiology that are driven by physical principles
Funded by Samsung SDI 1. Fabrication and optimization of electrospun nanofibrous polybenzimidazole and PE composite membranes with 150% improvement in mechanical strength and 25% improvement in thermal performance. 2. Enhancing the electrochemical performance of Li-ion batteries by use of room temperature curable ceramics like PSSQ and OPSZ in the Separator. 3. Performing rate capability and cell performance testing (Arbin) by assembling coin-size lithium-ion cells. 4. Achieving High Rate-Capable Silicon/Graphene Hybrid Anodes for Lithium-Ion Batteries by chemically treating mi Silicon produced from PV waste and solar waste, with a 76% decrease in cost. Separator systems were tested for - tensile strength using a UTM and DMA, thermal stability by TGA, morphology by SEM and 3D Profilometer, porosity by Air Porometry, and presence of functional groups using FTIR. Dimensional Shrinkage, ≈ Electrolyte Uptake are other properties that were tested. The cells made using the separator system were tested for - Cell Performance and Rate Capability using Arbin and MTI testing systems. Ionic conductivity, EIS and CV were other tests performed.
CHEME 3240 Heat and Mass Transfer Holding Weekly Office Hours and Recitation, Proctoring, and Grading Problem Sets on the Fundamentals of Heat and Mass Transfer.
1) Lead the analysis on the dataset of 14 Li-ion batteries to estimate its Remaining Useful Life using reliability analysis and Random Forest Regression with an R2= 0.97. 2) Performed FMEA for Li-ion battery components and provided recommended actions by gauging the RPN’s, to reduce the risk of failure and improve the reliability of batteries. 3) Determined the capacity fade behavior and predicted the degradation mechanism with limited data by determining the mean time to failure and shape parameter using MLE in MATLAB and R.
1. Determined economic feasibility of the integration of BESS with Renewable Energy Generation in CAISO and PJM Markets. 2. Economic feasibility analysis was done using LCOE and NPV to calculate ROI for potential revenue streams taking into account MACRS depreciation schedule and ITCs for renewable generation. 3. Value stack for both the markets was generated using Energy Arbitrage, Frequency Regulation, Firm Capacity and ability to participate in Capacity Markets. 4. Determined the net reduction in cost of Li-ion storage needed to make it feasible and achieve economies of scale.