Niraj Yagnik Email & Phone Number
Who is Niraj Yagnik? Overview
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Niraj Yagnik is listed as Co-Founder at Aurexis, a company with 10 employees, based in New York City Metropolitan Area, United States, United States. AeroLeads shows a matched LinkedIn profile for Niraj Yagnik.
Niraj Yagnik previously worked as Lead Developer & Machine Learning Engineer at Bitooda and Staff Data Scientist at Bitooda. Niraj Yagnik holds Master Of Science - Ms, Computer Science, 4.0 from Uc San Diego.
Email format at Aurexis
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About Niraj Yagnik
Hi👋 I am Niraj Yagnik (pronounced: knee-rudge)👨💻 I love building comprehensive end-to-end Machine Learning solutions, from data collection and model development to deployment and maintenance, ensuring tailored and impactful outcomes for specialized applications.💼 Spearheaded diverse projects for telecommunications, healthcare, and insurance companies, demonstrating expertise in Software Development, Data Science, Machine Learning and leadership skills.🎓 I hold a Master's Degree in Computer Science from the University of California, San Diego, specializing in Artificial Intelligence. I hold a Bachelor's Degree in Computer Engineering from Manipal Institute of Technology and earned a minor in Big Data Analytics.🧑🔬 Three years of research experience working on cutting-edge projects related to Machine Learning, Human-Computer Interaction, Explainability and Natural Language Processing with 4 published papers in top journals.🌍 Motivated by a desire to make a social impact, my research projects are centered around people, aiming to use technology to improve accessibility and inclusivity.
Listed skills include Data Science, Machine Learning, Matlab, Html5, and 22 others.
Niraj Yagnik's current company
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Niraj Yagnik work experience
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Lead Developer & Machine Learning Engineer
Current- Inference, AI and Data Center Research
- Driving the company's expansion by building and leading a development team in Mumbai, India to oversee product development.
Staff Data Scientist
Wearing a lot of hats - Data Science, AI, Finance, Software Dev, Analysis, Data Engineering, Database management
Machine Learning Engineer
- Helped secure grants and significant funding by leading the end-to-end development of machine learning techniques for stress detection using wearable sensor data in Python and SQL.
- Developing techniques to integrate Large Language Models to provide risk stratification.
- Oversaw the design and development of the company's data management system utilizing Google Cloud Platform.
Graduate Student Researcher
- Engaged in Human-AI interaction, specializing in Explainable AI under the guidance of Dr. Kristen Vaccaro.
- Spearheading a project to optimize the assessment of Explainable AI systems on humans.
- Enhanced the qualitative evaluation of AI explainability by identifying six key challenges in human-centric testing through interviews with 25 pioneering researchers, targeting methodological improvements and building.
- Submitted to NeurIPS.
Graduate Teaching Assistant
- Winter'24: 1. As a Teaching Assistant for a Graduate-level course on Advances in Language Models, my responsibilities included answering course-related questions, handling course logistics, creating and grading student.
- Fall'23: 1. Served as a Teaching Assistant for Prof. Julian McAuley in the Fall 2023 CSE 158 - Web Mining and Recommender Systems offering. Responsible for conducting Office Hours, grading assignments, and solving.
Senior Developer
- Orchestrated robust data migration pipelines and ETL processes using Azure Synapse Analytics for India’s largest private insurance company, catalyzing a 15% surge in retail sales by powering data-driven strategic.
- Directed a team of three in the strategic migration of numerous analytical dashboards from SAS BI to Azure, collaborating with end-users to achieve flawless migration accuracy and an 80% reduction in data processing.
Technology Intern
- Developed 30+ PowerBI dashboards for insurance data analysis with optimized SQL queries, enhancing management's decision-making and boosting productivity and revenue.
- Working in the Data Lake team as a Data Engineer to develop the architecture for Azure Modern Data Warehouse for the organization.
Undergraduate Research Assistant
- Worked on an array of research projects on topics related to Multimodal Sentiment Analysis, Evolutionary Computation, Data Mining, Wireless Sensor Networks, Deep Learning and Cyber Security.Projects I worked on:
- Impact of Cultural-Shift on Multimodal Sentiment Analysis.
- Optimizing Activity Recognition in VideoUsing Evolutionary Computation.
- IDS for Wireless Sensor Networks using Frequency Based K-Prototype Clustering and RFC.
- Privacy Preserving Data Mining on Sensitive Data.
Software Developer
- Enhanced features for the Android Application that connects tourists with the required tour guide based on personal expectations.
- Designed and developed algorithms to connect the tourist with the respective tour guide in the most optimized manner based on user inputs.
- Designed and marketed an online course that aims at mentoring students into becoming top-notch tour guides.
- Developed modules for incorporating VR and AR to enhance the virtual tour experience for the users.
Data Science Intern
- Designed an Ensemble Learning Technique under the Guidance of Dr. Shailesh Kumar called as Community Forest Algorithm in which logical communities of related features are constructed on the basis of mutual affinity of.
- Designed an efficient Resume Parser using text processing libraries in python and Supervised Machine Learning Algorithms for text classification.
- Designed Learning Materials for Topics related to Data Science and Machine Learning for the new Recruits at Jio.
- Contributed to the Data Agnostic Model that automates Cleaning of the input dataset and outputs Visual Insights about it features.
Colleagues at Aurexis
Other employees you can reach at bitooda.io. View company contacts for 10 employees →
Daniel Madden
Colleague at AurexisWellesley Hills, Massachusetts, United States, United States
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MT
Michael Tauckus
Colleague at AurexisCold Spring Harbor, New York, United States, United States
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TN
Thomas Nath
Colleague at AurexisWashington DC-Baltimore Area, United States
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Michael Kamin
Colleague at AurexisNew York City Metropolitan Area, United States
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Niraj Yagnik education
Master Of Science - Ms, Computer Science, 4.0
Bachelor Of Technology, Computer And Communication Engineering, 9.34/10
Data Scientist Foundation Nanodegree
Frequently asked questions about Niraj Yagnik
Quick answers generated from the profile data available on this page.
What company does Niraj Yagnik work for?
Niraj Yagnik works for Aurexis.
What is Niraj Yagnik's role at Aurexis?
Niraj Yagnik is listed as Co-Founder at Aurexis.
Where is Niraj Yagnik based?
Niraj Yagnik is based in New York City Metropolitan Area, United States, United States while working with Aurexis.
What companies has Niraj Yagnik worked for?
Niraj Yagnik has worked for Aurexis, Bitooda, Nanomood Tech, Uc San Diego Computer Science And Engineering Department (Cse), and Uc San Diego.
Who are Niraj Yagnik's colleagues at Aurexis?
Niraj Yagnik's colleagues at Aurexis include Daniel Madden, Michael Tauckus, Thomas Nath, and Michael Kamin.
How can I contact Niraj Yagnik?
You can use AeroLeads to view verified contact signals for Niraj Yagnik at Aurexis, including work email, phone, and LinkedIn data when available.
What schools did Niraj Yagnik attend?
Niraj Yagnik holds Master Of Science - Ms, Computer Science, 4.0 from Uc San Diego.
What skills is Niraj Yagnik known for?
Niraj Yagnik is listed with skills including Data Science, Machine Learning, Matlab, Html5, C++, Microsoft Word, Microsoft Powerpoint, and Html.
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