Yash Nikhare
Associate VP at The Data Science Hub, Northeastern University- Claim this Profile
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English Professional working proficiency
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Marathi Native or bilingual proficiency
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Hindi Limited working proficiency
Topline Score
Bio
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Credentials
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SQL (Advanced) Certificate
HackerRankDec, 2022- Sep, 2024 -
SQL (Intermediate) Certificate
HackerRankDec, 2022- Sep, 2024 -
SQL (Basic) Certificate
HackerRankAug, 2022- Sep, 2024 -
Tableau for Data Scientists
LinkedInJul, 2022- Sep, 2024 -
Advanced SQL – Window Functions
LinkedInMay, 2022- Sep, 2024 -
Advanced SQL: Logical Query Processing, Part 2
LinkedInApr, 2022- Sep, 2024 -
Advanced SQL: Logical Query Processing, Part 1
LinkedInMar, 2022- Sep, 2024 -
DeepLearning.AI TensorFlow Developer
CourseraJul, 2020- Sep, 2024 -
Sequences, Time Series and Prediction
deeplearning.aiJul, 2020- Sep, 2024 -
Convolutional Neural Networks in TensorFlow
deeplearning.aiJun, 2020- Sep, 2024 -
Natural Language Processing in TensorFlow
deeplearning.aiJun, 2020- Sep, 2024 -
Neural Networks and Deep Learning
deeplearning.aiJun, 2020- Sep, 2024
Experience
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The Data Science Hub, Northeastern University
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United States
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Education Administration Programs
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1 - 100 Employee
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Associate VP
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Oct 2023 - Present
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Dassault Systèmes
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France
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Software Development
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700 & Above Employee
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Data Scientist Intern
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Sep 2021 - Feb 2022
• Localized events in videos utilizing the PyScene Detect API and extracted 20 frames with 2560 features for captioning. • Processed training data by performing caption tokenization and padding to establish a 15-words vocabulary list. • Improved caption generation time by 13% using greedy search with an Efficient Net B7 and Seq2Seq model, featuring a BiLSTM encoder and LSTM decoder. • Boosted BLEU and METEOR by 4.4% and 15.1% higher than baseline, achieved scores of 0.78 and 0.34, respectively Show less
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publishsutra
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India
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Research Services
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1 - 100 Employee
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Machine Learning Intern
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Sep 2020 - Jan 2021
• Processed Sloan dataset by resizing and Otsu binarizing images with a threshold of 190 pixels to generate binary images. • Executed performance assessment using MSE (49.20) and PSNR (31.85), demonstrating the accuracy of the methodology. • Constructed a robust pipeline by integrating VGG16 and K-means clustering for galaxy classification, achieving a silhouette score of 0.82. • Processed Sloan dataset by resizing and Otsu binarizing images with a threshold of 190 pixels to generate binary images. • Executed performance assessment using MSE (49.20) and PSNR (31.85), demonstrating the accuracy of the methodology. • Constructed a robust pipeline by integrating VGG16 and K-means clustering for galaxy classification, achieving a silhouette score of 0.82.
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Education
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Northeastern University
Master's degree, Data analytics engineering -
Vishwakarma Institute Of Technology
Bachelor of Technology - BTech, Electronics and Telecommunication engineering