Sakshi Singh

The energy procurement process is the basis for portfolio and price optimisation in energy purchasing at LichtBlick and is associated with risks. The FRM team is responsible for determining, quantifying and controlling them, with the development of a Python library. -Reading in portfolios and determination of portfolio performance. -Determining, quantifying and controlling statistical and econometric metrics. -Developing a customised library to handle financial risks associated with energy purchasing.

Researched and performed experiments on Green Vehicle Routing problem (G-VRP) using Genetic algorithm (GA) by optimizing GA with the help of a Machine Learning guided Heuristics. The model was improved by selecting chromosomes using ML feature selection procedure.

The Project IIP-Ecosphere generates high innovation potential through the interlinking of process chains and hierarchical levels of production. The aim of this project was to develop a Virtual Automation Bus (VAB) Server in python.VAB is an implementation of end- to-end communication for Industry4.0. Development of VAB (Virtual Automation Bus) Industry 4.0 Server in Python by integrating HTTP / REST APIs. Integration of Python VAB Server with build processes in Java and communication flows through Java AAS.

Jaguar Land Rover (JLR) is the UK's largest car manufacturer. Handled clients from all over the world, specially from the UK and handled different vendors like Vodafone, BT, Getronics, etc. -Analyzed the database management systems and performing analysis on data mining. -Working alongside teams within the business or the management team to establish business needs. -Managed different vendors and clients directly and provided technical support to our internal customers of Jaguar and its related partners.

The database being set up is expected to improve data mining and included records of all financial transactions of individuals and business entities. -Developed a VBA-enabled validation tool for Master Utility File, which consisted of sensitive tax-related data. -Built several child Microsoft Excel utilities files using VBA coding to automatically control and validate the Master file. -Improved the delivery time by creating several Macros in MS Excel.

Machine Learning, Advance Machine Learning, Programming in ML, Deep Learning, Big Data Analytics, Data and Privacy Protection, Planning and Optimal Control, Seminar Data Analytics etc.

Data Warehousing and Data Mining, Linux Programming, Database Management System, Operating Systems, Advance Computer Networks, Distributed Systems, Software Engineering, etc.

Data Mining, Data Structures, Calculus and Geometry, Database Systems, Statistics and Probability, Differential Equations, Theory of Computation, Computer Graphics, etc.