Toronto, Ontario, Canada
I am an experienced data analyst with 4 years of experience in roles that put to use my critical thinking, data gathering, data analysis, data forecasting, and data visualization skills across a variety of sectors such as power utilities, manufacturing, and energy trading. I can efficiently analyze data and help derive key insights from it to be used by senior management to make data-driven decisions. Technical competencies: Operating Systems: Windows 10 Application and Tools: MS Office Suite (Word, Excel, PowerPoint), Access, Sharepoint, Onedrive, Outlook Tools: GSuite by Google, IBM Cognos Analytics (Pursuing), SQLite (Pursuing) Data visualization tools: Tableau, MS Excel Project Management Fundamentals: Agile, Scrum Languages: R, SQL, Python (pursuing) Soft skills that I bring to the table: -An effective communicator: I can report the findings from my analyses through written/verbal media (delivering presentations or generating visualizations of my analyses) -Problem solver and Team player: I work well with others - both within my team and cross-functionally within my organization, to identify client issues and provide solutions through data analysis. -Attentive to details: I pride myself in being able to notice the small clues that point toward a larger message that’s hiding in a group of data.
• Maintained accurate records of clients assisted and services provided. • Effectively tracked and provided accurate reporting regarding client intake and onboarding. • Developed, formatted, and facilitated group orientation/information sessions and workshops on employment topics. • Identified potential employer job requirements and labor market opportunities in the local community. • Organized employment-related materials and tools for easy access and updated them regularly to resonate with the current trends and needs of the job market.
• Developed forecasts and schedules for renewable power generation. Clients were mostly solar and wind power generators. Have worked on both short-term and long-term forecast data. Improved the power forecast accuracy for a 50 MW wind farm by 30%, through detailed satellite-based imagery of weather and SCADA data analysis, which in turn reduced the deviation charges by around 13%. • Developed succinct, graphical presentations with analytical solutions to communicate findings from analysis to upper management. • Developed an MS Excel-based tool to forecast power generation for clients. • Studied and assessed various parameters and a large variety of meteorological data (mostly satellite imagery) in order to make correlations and improve forecasts. • Coordinated and worked with internal teams to improve performance of in-house forecasting software • Monitored real-time site operations at generator’s (client) sites and ensured intra-day and day-ahead schedules are submitted at regular time intervals in order to minimize deviations. • Prepared detailed analysis reports and highlights of forecasting accuracies, variances, deviation settlement mechanisms (DSM), and other energy accountings on a daily/monthly basis • Coordinated with Operations and Maintenance team to plan scheduled downtimes, thereby enabling greater machine reliability and reducing inaccuracies in forecasting • Monitored internal support teams for action on deliverables. • Prepared client-wise / site-wise performance reports on a daily/weekly & monthly basis. • Provided validation of Deviation Settlement Mechanism (DSM) statements by State Load Dispatch Centre /Regional Load Dispatch Centre. Analyzed data to facilitate de-pooling of DSM charges at feeder or substation level.
• Analyzed the performance of wind assets through power curve analysis and benchmarked the performance against OEM standards for operating at rated efficiencies; Provided insights to take corrective actions if required, on underperforming assets. • Improved the machine availability by analyzing machine performance trends and providing corresponding technical guidance to site engineers deployed at the client locations, thereby enabling the team to reduce machine downtime. • Monitored real-time performance and status to ensure that any machine breakdown was quickly attended to. • Prepared weekly and monthly assessment & comparison of asset’s performance based on SCADA data. • Prepared performance improvement plans and ensured their effective implementation. • Performed periodic performance checks of each Wind Turbine Generator and carried out a subsequent Root Cause Analysis, which helped to avoid major or repetitive breakdowns. • Conducted monthly assessment of all the losses - actual vs. contractual warranties. • Assessed correlation of performance of ‘turbine-to-turbine’ in a wind farm. Analyzed long-term wind speed comparison using MERRA data. • Monitored and maintained a database with details of Generation, Machine availability, Grid availability, PLF, Repeating errors, major breakdown, etc.
• Supported routine and ad-hoc requests for product information management, data analysis, and standard reporting using MS Excel to optimize product sales. • Developed weekly and monthly business performance reports for managers based in the USA, by analyzing data mined using Business Object (BO) in SAP, developing analytical dashboards, etc. • Provided back-end market research support such as Competitor product analysis, Gap analysis, Vendor Research, etc. to improve business. • Supported product managers with product information management reports using SAP.
Maintainance and operation of Condensor, Boiler feed pumps