Arsh Modak
Data Scientist at Caveonix- Claim this Profile
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English Full professional proficiency
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Hindi Native or bilingual proficiency
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French Elementary proficiency
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Marathi Elementary proficiency
Topline Score
Bio
Credentials
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Master of Science, Data Science
Northeastern UniversityDec, 2021- Sep, 2024 -
Problem Solving (Basic)
HackerRankSep, 2021- Sep, 2024 -
Python (Basic)
HackerRankSep, 2021- Sep, 2024 -
SQL (Basic)
HackerRankSep, 2021- Sep, 2024 -
Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization
deeplearning.aiJan, 2021- Sep, 2024 -
Neural Networks and Deep Learning
deeplearning.aiDec, 2020- Sep, 2024 -
Intro to Machine Learning
KaggleOct, 2020- Sep, 2024 -
Introduction to Linear Algebra with MATLAB
MathWorksOct, 2020- Sep, 2024 -
MATLAB Onramp
MathWorksOct, 2020- Sep, 2024 -
Python
KaggleOct, 2020- Sep, 2024 -
Pandas
KaggleSep, 2020- Sep, 2024 -
Post Graduation Program in Data Analytics
Imarticus LearningMar, 2019- Sep, 2024 -
Android
Ritusha Consultants Pvt LtdJul, 2017- Sep, 2024 -
Embedded System and Robotics Basic and Advance
Ritusha Consultants Pvt LtdJun, 2017- Sep, 2024
Experience
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Caveonix
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United States
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Computer and Network Security
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1 - 100 Employee
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Data Scientist
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Jan 2022 - Present
▪︎ Implementation and Productionalization of a Deep Learning based Self-Supervised Anomaly Detection Engine for NetFlow data ▪︎ Research and Development of Neural Network architectures and ML models for various use-cases in the field of CyberSecurity. ▪︎ System Design and Optimization ▪︎ Data Science ▪︎ Machine Learning ▪︎ Deep Learning ▪︎ Software Engineering ▪︎ Implementation and Productionalization of a Deep Learning based Self-Supervised Anomaly Detection Engine for NetFlow data ▪︎ Research and Development of Neural Network architectures and ML models for various use-cases in the field of CyberSecurity. ▪︎ System Design and Optimization ▪︎ Data Science ▪︎ Machine Learning ▪︎ Deep Learning ▪︎ Software Engineering
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Khoury College of Computer Sciences
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United States
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Software Development
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400 - 500 Employee
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Teaching Assistant
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Sep 2021 - Dec 2021
• Helped students understand the Foundations of Data Science. • Reviewed and Graded assignments, labs and projects. • Helped students understand the Foundations of Data Science. • Reviewed and Graded assignments, labs and projects.
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Data Scientist (Co-op)
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Jan 2021 - Jul 2021
• Spearheaded, scoped, designed, prototyped and developed a Self-supervised Time-Series Anomaly Detection system. • Implemented Machine Learning and Deep Learning algorithms such as Isolation Forest, DBSCAN, LSTM, Autoencoders. • Developed a data extraction and pre-processing pipeline to handle 100+ million records with 10+ thousand cardinality. • Designed and implemented an LSTM neural network for anomaly detection from the ground up. • Constructed a training and post-processing pipeline for the system and iterated over it using various hyperparameters and layers. • Optimized the code to run 10x faster by leveraging multiprocessing in python and formatted code to follow the PEP8 coding standards. • Designed and created weekly and monthly roadmaps, reports, architecture diagrams for C-Level executives(CEO, CTO). • Constructed an end-to-end ETL pipeline from Elasticsearch to CSV to TimescaleDB
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Instructional Assistant
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Sep 2020 - Dec 2020
• Provide assistance to the professor to conduct a smooth lecture for both on-ground and online students. • Provide technical support and be a medium between the class, professor and the students that are attending online • Troubleshoot software and hardware. • Make sure everything works smoothly and efficiently. • Provide assistance to the professor to conduct a smooth lecture for both on-ground and online students. • Provide technical support and be a medium between the class, professor and the students that are attending online • Troubleshoot software and hardware. • Make sure everything works smoothly and efficiently.
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Northeastern University
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United States
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Higher Education
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700 & Above Employee
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Graduate Research Assistant
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Jan 2020 - Apr 2020
• Volunteer Research Assistant at Barabasi Lab (CCNR) • Collection, processing, cleaning of LaTex files (research papers) from Arxiv using python. • Processing bibliography files and merging all files of the research papers. • Brushed up skills in data collection and processing. • Volunteer Research Assistant at Barabasi Lab (CCNR) • Collection, processing, cleaning of LaTex files (research papers) from Arxiv using python. • Processing bibliography files and merging all files of the research papers. • Brushed up skills in data collection and processing.
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Mactores
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United States
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Business Consulting and Services
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1 - 100 Employee
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Data Engineer
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Mar 2019 - Jun 2019
• Designed and Optimized a rule-based method for fraud detection on over one million records in R, Python and Flask. • Amplified querying, speeded up data extraction as well as visualization by migrating data on cloud using AWS DMS, Athena, S3 and Glue after locally restoring it. • Diagnosed and reported issues that held back the firm’s performance by processing and manipulating data to fit client’s requirements to analyze and visualize data. • Reported data insights using Tableau and AWS QuickSight through which various business decision were inspired.
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Education
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2019 - 2021
Northeastern University
Master of Science - MS, Data Science -
2014 - 2018
Bharati Vidyapeeth
Bachelor of Technology, Information Technology -
2012 - 2014
Podar International School
A-Levels, Science -
2003 - 2011
VIBGYOR Group of Schools
IGCSE (CIE), Science
Community
