Kunind Sharma Email and Phone Number
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I am a Ph.D. Candidate at Northeastern University, specializing in human-centered digital twin development. My research combines machine learning, data science, and human behavior modeling to create novel and validated digital twin models that can optimize energy efficiency and demand flexibility in buildings.With a strong academic and professional background in mechanical engineering and energy systems, I have led and collaborated with various interdisciplinary teams to design and implement data-driven solutions for complex problems. For example, I developed a stochastic agent-based model in Python to simulate gig economy workers, and a control and visualization dashboard using Plotly's dash to communicate the results to non-technical users. I have also improved the accuracy of occupant behavior predictions by 50% using TensorFlow and customized probabilistic models. I am proficient in SQL, Python, MATLAB, Git, Tableau, Docker, Kubernetes, pandas, NumPy, and TensorFlow, and have published multiple papers in peer-reviewed journals.My goal is to leverage my expertise and skills to create innovative and impactful digital twin applications that can enhance human well-being, environmental sustainability, and social justice. I am passionate about user experience design, interdisciplinary collaboration, and knowledge dissemination, and I seek to contribute to the advancement of machine learning and data science in various domains.
Northeastern University
View- Website:
- northeastern.edu
- Employees:
- 5
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Phd CandidateNortheastern University Aug 2017 - PresentGreater Boston Area- Developed novel data-driven digital twin of 1.4K occupants by customizing and integrating probability-based habitual, Markov chain-based occupancy, and logistic regression-based feedback behavior models using Python and TensorFlow. Improved accuracy by 50%- Collaborated with various teams of Law and Social Science experts to lead the development of the first-of-its-kind stochastic data-driven agent-based model in Python. Developed a control and visualization dashboard using Python and Plotly’s dash for the simulation that enhanced experimental design and reduced time from fault identification to action by 80% through real-time error spotting.- Led a team to containerize and deploy applications using Kubernetes and Docker for distributed executionresulting in a 70% reduction in runtime.- Led the development of an automated data pipeline to process over 100 TB of semi-structured time-seriesdata from '.csv' to MariaDB SQL and serialized data in XML/JSON schema. Increased data processing efficiency by 60% for real-time analytics. -
Capstone ProjectEcobee Aug 2018 - May 2019Boston, Massachusetts, United States- Collaborated with a senior data scientist to develop a clustering modeling of occupants with similar overriderates and other personal features using Python and Scikit-learn. Achieved accuracy 40% greater than the current state of the art.- Developed decision trees, random forests, XGBoost, and neural network models to classify overrides andrecommend occupant setpoints magnitude and delay using Python and Keras. Improved classification accuracy by 20% and enhanced the decision-making process.- Presented weekly insights to internal stakeholders on improving data pipeline efficiency -
Machine Shop AssistantUniversity Of Mississippi Jun 2016 - Jun 2017Oxford, Mississippi, Usa- SAE BAJA Motor Sports Competition - Designed framework and modified parts of buggy- Manufactured products within deadlines; weigh, measure, inspect and operated various machines- Engineer solid metals to working parts- Utilized Milling machine, saw machine, CNC machine etc. -
Research AssistantUniversity Of Mississippi Jul 2016 - May 2017Mechanical Engineering Department- Designed tactile transducer to work inside MRI using a liquid metal in flexible channels- Designed and engineered all the required parts individually
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Teaching AssistantUniversity Of Mississippi Jun 2016 - Jul 2016Oxford, MississippiInstructed, graded, and lectured 50 students of Mechanics of Materials class
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Community AssistantUniversity Of Mississippi Jan 2015 - Sep 2015Oxford, Mississippi- Led students to events or the activities on campus- Budget Management- Crisis management- Event planning.
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Teaching AssistantUniversity Of Mississippi Jun 2014 - Dec 2014Oxford, Mississippi- Help students with their problems.- Established a good working relation with my supervisors and my peers- Set up and organized work related files and folder for professors- Completed presentations or word files for professors- Graded student papers and homework
Kunind Sharma Skills
Kunind Sharma Education Details
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Multi/Interdisciplinary Studies
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Energy Management And Systems Technology/Technician -
Overall Gpa - 3.48/4.00, Major Gpa - 3.84/4.00
Frequently Asked Questions about Kunind Sharma
What company does Kunind Sharma work for?
Kunind Sharma works for Northeastern University
What is Kunind Sharma's role at the current company?
Kunind Sharma's current role is PHD Candidate @ Northeastern University | Data Science, Machine learning.
What is Kunind Sharma's email address?
Kunind Sharma's email address is ks****@****iss.edu
What is Kunind Sharma's direct phone number?
Kunind Sharma's direct phone number is +166280*****
What schools did Kunind Sharma attend?
Kunind Sharma attended Northeastern University, Northeastern University, The Gordon Institute Of Engineering Leadership At Northeastern University, University Of Mississippi.
What skills is Kunind Sharma known for?
Kunind Sharma has skills like Leadership, Research, Mechanics Of Materials, Teaching, Microsoft Office, Microsoft Excel, Public Speaking, Thermodynamics, Creo, Autocad, Matlab, Kinematics.
Who are Kunind Sharma's colleagues?
Kunind Sharma's colleagues are Tanla B., Ana Isabel Wirengard Gil, Lauren Machunis, Lillian Hui, Athmavidya Venkataraman, Carly Dwyer, Kimberly Ouellette.
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