At Wind Pioneers, Lalitha is responsible for organising and managing the end-to-end delivery of Wind Pioneers’ consultancy projects, from proposal development to project execution and project closure.Work with Pre feasibility Assessments of wind farms, Wind Data Management and Creation and Development of Inhouse Tools/Software.Help with Business development and client management.

Working on resource and energy production assessments for Renewable energy clients in India and abroad.Producing detailed reports which review the feasibility of sites for development of windfarms, based on appropriate observed and modelled reference data sources and energy production.

Worked on Machine Learning and artificial neural network applications in Energy Management and Forecasting along with IoT based metering and data telemetry applications for renewable energy producers, utilities and OEMs.Roles and Responsibilities:• Research and Development - Worked on Numerical Weather Prediction data from global and regional forecast models and improved accuracy of weather forecasts at low spatial resolutions and varying orography. Further work on modelling… Show more Worked on Machine Learning and artificial neural network applications in Energy Management and Forecasting along with IoT based metering and data telemetry applications for renewable energy producers, utilities and OEMs.Roles and Responsibilities:• Research and Development - Worked on Numerical Weather Prediction data from global and regional forecast models and improved accuracy of weather forecasts at low spatial resolutions and varying orography. Further work on modelling behaviour of wind and solar farms under different weather conditions.• Data Science Applications and Algorithms Development - Established relationships between weather and energy parameters to develop Machine Learning based time-series prediction models for wind, solar and energy demand forecasting. Algorithms development to optimize and operate multiple forecast models in production (24x7 operations).Software: Ubuntu 16.04 (Linux), Python2.7 (Pandas, Numpy, sci-kit, Keras, ffnet), MySQL DB, MySQL Show less

-Worked with the Crude Team on providing clients in the financial and energy sector with oil market research based on fundamental supply and demand analysis. -The role involves maintaining databases and developing models to cover demand production, plant capacities, investment, margins and regional trade. It also involves assisting in the forecasting market fundamentals and prices (short, medium and long term) across a range of refinery products. -Assisting in producing regular… Show more -Worked with the Crude Team on providing clients in the financial and energy sector with oil market research based on fundamental supply and demand analysis. -The role involves maintaining databases and developing models to cover demand production, plant capacities, investment, margins and regional trade. It also involves assisting in the forecasting market fundamentals and prices (short, medium and long term) across a range of refinery products. -Assisting in producing regular multi-client publications. -Experience working with Bloomberg, Reuters terminals and MS office suite, Show less

Project: Insertion of Energy storage systems in the grid-Business intelligence study of identifying the best case commercial and technical arrangements for the insertion of Energy storage systems within the Brazilian Grid combined with Solar PV systems.– Market review of best case Energy sales models and development of roadmapfor the promotion of technological development and national productioninfrastructure- Developed a Techno economic model for facilitating investment… Show more Project: Insertion of Energy storage systems in the grid-Business intelligence study of identifying the best case commercial and technical arrangements for the insertion of Energy storage systems within the Brazilian Grid combined with Solar PV systems.– Market review of best case Energy sales models and development of roadmapfor the promotion of technological development and national productioninfrastructure- Developed a Techno economic model for facilitating investment decisions. Show less

Deployment of Micro grids for electrification of villages in India using renewable energy. Researching on different commercial and technical models used in developing parts of the world on smart microgrids and insertion of energy storage technologies.Estimated load demand of households, explored different storage technologies and optimized the number of solar panels and batteries required to satisfy the demand.

Worked on an international assignment in Amsterdam, Netherlands in the Light ends R&D team for delivery of Catalyst & Process Studies Downstream program 2015 .Worked with a multi-disciplinary team from concept to implementation of choosing the right catalyst for operation in a refinery for a time frame of 8 years.Lean ProjectSuccessfully applied Lean tools such as Six sigma concepts and strategically reduced the cost of the Catalyst testing process

Provided advice to sites during turnaround support and reactor internal inspection and extended Manufacturing off-site supportPerformed Troubleshooting activities for reforming units to reduce unplanned downtime

Integration of Thermal Energy Storage system with an existing air conditioning unit Guide: Dr.Naveen Bhutani• Formulated a simplified mathematical model to simulate the power consumption in the chiller unit • Performed linear optimization using MATLAB and EXCEL for predicting optimal set points of the ice storage equipment • Decreased electricity consumption cost due to air conditioning by 20%

Big Data analytics on Contact center data at ABB Guide: Dr. Jinendra Gugaliya• Analyzed contact center data for development of business intelligence by predicting buying trends and geographical demand • Formulated KPIs (Key performance indices) to derive business value out of contact center data• Proposed a solution to merge contact center database and sales database, which is under implementation.

• Proposed a more efficient way to reduce phosphorus content from fertilizer effluent stream by performing sedimentation studies. • Increased profit by 35% by precipitating phosphorus as its salt struvite (a potential fertilizer) and subsequent sales