Neelabh Goyal

Neelabh Goyal has a diverse work experience. Neelabh started their career at The LNM Institute of Information Technology as a Summer Research Intern, where they worked on the design of receiver and transmitter using microstrips as waveguides. Neelabh then worked as a Research Associate at Jaipur Engineering College and Research Centre, where they published a review research paper on jellyfish attacks in MANET.

Neelabh later joined Accenture as a Software Engineer, where they implemented SAP smartforms and enhanced SAP offerings using ABAP for a client in Dubai.

Neelabh then transitioned to Bidgely, where they held multiple roles. As a Data Analyst, they used SQL, Excel, and Tableau to prepare reports on the performance of AI/ML algorithms and optimized monitoring reports using Python and SQL. Neelabh also automated redundant processes, reducing the run-time by <75% of the baseline manual process.

In their role as a Senior Analyst - Data Science, Neelabh designed metrics and conducted quantitative analysis of ML models for electricity consumption disaggregation. Neelabh also automated processes using Python to streamline operations.

Neelabh then took on the role of Lead - Analytics and Insights, where they mentored and trained a team of analysts and used unsupervised machine learning to segment users for rate plan optimization for an electric utility.

Overall, Neelabh Goyal's work experience spans various industries and showcases their expertise in data science, analytics, and software engineering.

Neelabh Goyal completed a Bachelor of Technology (B.Tech.) degree in Electrical, Electronics and Communications Engineering from Jaipur Engineering College And Research Centre, from 2013 to 2017. Prior to that, they obtained their Higher Secondary Examination degree in Sciences from Mayoor School, Ajmer, from 2008 to 2012.

In addition to their formal education, Neelabh has acquired various certifications. Neelabh completed the course "Designing, Running, and Analyzing Experiments!" from Coursera in May 2021. In April 2021, they obtained a certification in "Mistakes to Avoid in Machine Learning" from LinkedIn. In July 2020, they completed the course "Extreme Productivity (Blinkist Summary)" from LinkedIn. In June 2020, they acquired certifications in "Learning Data Science: Understanding the Basics" and "Learning Python" from LinkedIn. Furthermore, in May 2020, they completed the course "SQL Masterclass: SQL for Data Analysis" from Udemy. Lastly, in March 2020, they obtained the certification "Statistics Foundations: 2" from LinkedIn, and in May 2019, they completed the certification "Statistics Foundations: 1" from the same platform.