Solar engineering focused resume

1. Swapnil Shende
Medford, MA 02155 | 617.306.6761 | swapnil.shende@hotmail.com | www.linkedin.com/in/swapnil-shende/
Education
Master of Science in Energy Systems | Northeastern University, Boston, MA Dec 2019
Relevant Coursework: Energy Systems Integration, Renewable Energy Development, AI in Energy Systems,
Smart Grids, Energy Storage Systems, Engg. Project Management, Financial Management for Engg.
Bachelor of Technology in Electrical Engineering | V.J.T.I, Mumbai, India May 2016
Relevant Coursework: Power Systems, Control Systems, Electromagnetics, Thermodynamics
Skills
Solar design: PVSyst, Helioscope, Aurora Energy Modelling: eQuest, OpenStudio, EnergyPlus, GBS
2D/3D design: AutoCAD, Revit, Sketchup Programming: C#, Python, Javascript, Matlab
Databases: MySQL, MS Sql Server Data Analysis/Visualisation: Tableau, Excel VBA
Project Tools: MS Office suite, MS TFS Other Tools: QGIS, Analytica
Experience
EnergySage, Boston, MA Jan 2019 – Aug 2019
Solar Marketplace Co-op
• Performed remote solar site evaluations of 24000 sites achieving more than 12% successful installations
• Analysed utility data to understand load profile, calculated energy demand and cost for financial estimates
• Worked on data gathering, technical consulting, system design, project tracking and proposal deliverance
• Performed quantitative analysis on market data for site improvement reducing turnaround time by 8%
• Led sales discovery communicating with regional officials for installation site information verification
CitiusTech Inc. Mumbai, MH Jun 2016 – Aug 2017
Software Engineer
• Developed UML and web application for storing information and sending alerts using .Net and MySQL
• Developed web interface with MVC in AngularJS using JavaScript, HTML and CSS for data entry and logging
• Developed mobile application with MS Xamarin for data gathering and scheduling with Google maps API
• Implemented code change to client web platform, deployed web services and performed automated tests
Academic Projects
Performance Monitoring and Forecasting of PV site using AI, NEU Dec 2019
• Explored site and PVSyst data for finding relationships, cleaned and labelled data considering seasonality
• Effectively used Matlab learner, implemented k-means clustering for grouping and finding causalities
• Tested Regression models and Neural Net Fit model for shading loss and power output prediction
• Used Neural Net NARX time series model to achieve 96% prediction accuracy and presented cost analysis
Microgrid Design for Northeastern University campus, NEU Apr 2019
• Developed Distributed Energy Resources project with a financial analysis report. Performed data analysis
on utility data to forecast generation of annual saving of $125,000 and IRR of 9%
• Successfully designed PV system, Energy Storage, EV charging stations and interconnection scheme
• Used AutoCad for building plans modification, Helioscope for PV design, generated BoM and BoD
Analysis of LEED Credits and Policy planning for certification, MIT Apr 2018
• Analysed trends in LEED credit data of certified buildings using clustering to visualize distribution of most
reported credits. Used python Pandas, Seaborn and matplotlib libraries for analysis
• Successfully performed LCCA to propose policy brief for improvements, presented presentation and paper
• Achieved 8% in cost saving with implementation during planning phase reducing Cx, RCx and retrofits
Financial Analysis and Planning for Tesla charging network expansion, NEU Nov 2017
• Analysed market trends and investments for locating stations and finding factors for network expansion
• Planned annual placements for cities and highways, performed financial analysis achieving ROI of 12%
• Implemented linear programming for budget, location allocation and created project budget report
Design and Analysis of stand-alone residential PV system, VJTI Apr 2016
• Effectively designed PV system and electrical system on MATLAB, generated report and published paper
• Analysed effects of temperature, Irradiance, shading/dirt and load variation on solar arrays efficiency
• Implemented power conditioning using unipolar switching and PWM, designed PI controller for further
mitigation of effects on production of arrays