Hari Gopalakrishnan Email & Phone Number

Easthampton, Ma, Us

Lake Mary, Fl, Us

Cambridge, Massachusetts, Us

• Developed DAYZER (Day-Ahead Market Analyzer) software to simulate operation of North American ISOs.• Implemented security constrained unit commitment and economic dispatch algorithms to estimate least-cost hourly generation, congestion and Locational Marginal Price (LMP) solutions meeting reliability criteria.• Updated DAYZER database with latest information on power demand, grid topology, transmission and unit outages, fuel prices, renewable generation forecasts and LMP and transmission congestion results from ISOs.• Maintained and benchmarked detailed models for CAISO, ERCOT, ISO-NE, MISO, NYISO, PJM and SPP.

London, England, Gb

Led WoodMac's commodity modeling and software development efforts across Coal, Gas and Power. Led the collaboration of a team consisting of 20 Business Analysts and Data Analysts to produce WoodMac's semi-annual Long-term commodity outlooks. Was responsible for all technical aspects of a $4 million annual Research subscription service. Contributed towards written content in monthly publications and special insight articles. Presented WoodMac's modeling methodologies and software capabilities at client events to assist with new subscriptions and client renewals. Commodity Modeling:• Developed Linear Programming (LP) optimization model to forecast global coal tradeflows.• Developed Marginal and Netback pricing theories to determine OTC (Over-the-Counter) trade prices using global coal tradeflows LP solution.• Developed Non-linear Programing (NLP) optimization model to capture Price-Demand elasticity of wholesale electric grid transactions.• Implemented dynamic cost functions in NLP model for primary fuels (coal and gas), and, dynamic heat rate functions for power plants to capture elastic behavior of supply and demand in electric grid scheduling.• Developed Stochastic LP model implementing Recourse Method to capture probabilistic coal demand scenarios. • Developed Mean-Reversion model using Orenstein-Uhlenbeck stochastic process to forecast weekly Henry Hub gas, Brent crude and Newcastle coal prices.Software Development:• Worked in a 6-member Agile Scrum team consisting of IT, Software Developers and Modelers focused on continuous development, improvement and deployment of WoodMac's commodity forecasting models.• Implemented Agile approaches for cross-functional development using JIRA boards for issue and bug tracking. • Deployed commodity forecasting models with web-based User Interface for multi-user capability among WoodMac clients.

New York, Ny, Us

As a team member in EVS’s Complex Securities Valuations group, planned and executed valuation projects involving derivative contracts and complex financial instruments. Conducted pre-valuation client interviews, developed comprehensive valuation models, performed market research to estimate model parameters, performed sensitivity analysis and scenario analysis of results, drafted client deliverable schedules and memos. Contributed to group’s expansion via direct valuation engagements, internal research projects and business development activities.Project Summaries:• Implemented binomial lattice method to estimate fair value of callable-convertible-puttable bonds, conversion option in preferred stocks and bifurcate plain bond component in convertible notes. • Implemented Monte Carlo simulation and Black-Scholes method to estimate fair value of time-based, performance-based and market-based employee stock option grants.• Implemented option pricing method to estimate fair value of contingent considerations included in acquisition deals. • Implemented Black-Karasinski short-rate model to estimate fair value of floating rate notes with reset features.• Implemented Finnerty Asian put model to determine discount for lack of marketability in common operating partnership units.• Developed Excel/VBA implementation of Black-Derman-Toy (BDT) model for valuation of interest rate derivatives. Interlinked Excel user interface with Bloomberg Terminal to automatically update BDT calibration using valuation date Zero curve. Back-tested model and released deployable application to EVS team.• Researched 10-K/Q reports of power, oil and gas firms. Analyzed their usage of energy derivatives. Drafted business proposals for complex securities valuations in the energy sector. Developed client collaterals for new valuation engagements.

Washington, Dc, Us

With funding provided by US Department of Energy, investigated energy efficiency improvement technologies for Combined Heat and Power (CHP) systems and industrial manufacturing facilities. Presented PhD dissertation titled Operational Planning in Combined Heat and Power Systems addressing a long-standing optimization problem in energy systems scheduling. Provided energy audit services to industrial facilities in Northeast US sector by conducting detailed assessments of manufacturing operations and identifying energy, cost and emission saving potentials. PhD Dissertation:•Developed Mixed Integer Nonlinear Programming (MINLP) models and Genetic Algorithms for operational planning in Combined Heat and Power systems.• Developed energy, cost and emission optimization formulations for system scheduling based on load forecast, electric grid on-peak/off-peak price differential, fuel limitation and CO2 emission constraints.• Developed heat balance software interlinked with Supervisory Control and Data Acquisition (SCADA) system to track system efficiency in real-time.• Deployed heat balancing and operational planning strategy at the University of Massachusetts CHP system and increased efficiency by 6%, reduced cost by 11% and emission by 14%.Energy Audits:• Conducted detailed assessments of manufacturing operations for 54 industrial facilities.• Improved operations of variable frequency drives, power factor correction systems, demand response programs, chilled water systems, HVAC, boilers, furnaces, heat recover systems and cogeneration.• Recommended cost saving measures totaling $1.5 million, helping minimize energy waste and preventing pollution.

Master Of Science (Ms), Computational Finance & Risk Management

Doctor Of Philosophy (Phd), Mechanical Engineering

Master Of Engineering (Me), Aerospace Engineering

Bachelor Of Engineering (Be), Mechanical Engineering