DataEconomy
Dipesh Thakur's work experience begins with their role as a Trainee Engineer at DATAECONOMY since June 2022. In this position, they have utilized Stored Procedures and the .NET Framework to develop robust and scalable solutions for Test data management tasks. Dipesh has also contributed to the design and implementation of data validation processes to ensure high data quality and integrity.
Prior to this, Dipesh was a R&D Trainee at BGAUSS from July 2021 to December 2021. Here, their responsibilities included testing, validation, and homologation processes for the lighting component of Electric Two-Wheelers (E2W).
Before that, Dipesh worked as an Intern at Autobot India from September 2020 to February 2021. In this role, they gained skills in various areas such as Motor & Controller of Electric Vehicle, Li-ion Cell Level testing, Development of Battery Pack interfaced with Passive BMS, and studying Sensors for E-throttle mapping and Motor Positioning.
Overall, Dipesh has a diverse work background with experience in engineering and technology roles, focusing on Electric Vehicles and data management.
Dipesh Thakur's education history is as follows:
Dipesh Thakur obtained a postgraduate degree in Data science and Machine Learning from Imarticus Learning Pvt Ltd in 2022. Prior to that, they completed their Bachelor of Engineering (BE) in Electrical Engineering from Dr. Babasaheb Ambedkar Marathwada University, Aurangabad, from 2015 to 2018. Before pursuing their bachelor's degree, they obtained a diploma in Electrical Engineering from MGM Polytechnic from 2012 to 2015. Dipesh'ssecondary education includes completing SSC from St. Lawrence High School in 2012.
Additionally, Dipesh Thakur has obtained several certifications. In 2023, they achieved the certification of Microsoft Certified: Azure Data Fundamentals from Microsoft. In 2021, they obtained a certification in Electric and Hybrid Vehicle Technology from Udemy. Finally, they have also earned a certification in Powertrain and Embedded System in Electric Vehicle from Autobot Academy, although the specific month and year of obtaining this certification are unspecified.
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DataEconomy
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We are a fast-growing Data & Analytics company with a global presence. We are well-differentiated and are known for our thought leadership, out-of-the-box products, cutting-edge solutions accelerators, innovative use cases, and cost-effective service offerings. GENESIS AND MISSION: Our vision and mission are "Enabling businesses to MONETIZE DATA at data speeds." We accomplish this enablement in 3 areas of expertise: • building Strategies to Monetize data for disruptive business models • Innovate in our Garage, a plug-and-play ecosystem that provides a combination of frameworks, infrastructure, tools, and resources that creates and enables competitive business advantage through Ideation, Prototyping &Hypothesize Feasibility Analysis, and Enterprise Alignment • deliver solutions at fractional costs by leveraging our out-of-the-box solutions to Accelerate Outcomes for differentiated customer experience, operational efficiencies, and business growth through data-driven actional insights We believe that the industry is pivotal, with considerable opportunities in reimagining business models and scaling business operations by leveraging next generations technologies and ecosystem players in Big Data, Data Science, Robotics, Blockchain, Cloud, and DevOps. The genesis of DATAECONOMY stems from our understanding that there is an abundance of untapped potential in Technology, People, and the merger of Machines and People for advancement in technology initiatives. After spending more than two decades with large global consulting services companies serving Fortune 500 companies, we founded DATAECONOMY in June 2018 to advance our charter and our mission is to "Commoditize the Niche" by tackling future challenges of scale and complexity through applied innovation.