Tarushi Pathak

Worked as Machine Learning Research Intern at Stir Research
Delhi
Skills:
C++17, Tableau, Sql, ReactJS, JavaScript
Education:
SRM Engineering College
Profile
Experience
Publications
Education
Achievements
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Language Activity
Technical Skills
C++17, Tableau, Sql, ReactJS, JavaScript, frontend, data-visualization, Data-analysis, natural language processing, C++14, computer vision, deep-learning, Machine Learning, Python 3
Work Experience
Machine Learning Research Intern
Stir Research, Work From Home
Jul 2020 - Aug 2020 (2 months)
Completed the following research projects:
1)Predicted UTS using Machine Learning
2) Used DCGANs to generate microstructures
3) Did Grain Analysis of Microstructures through Image Preprocessing

The last two projects were published in journals Indian Journal of Data Mining and ADCAIJ respectively.
Machine Learning Intern
Sufa Media Digital, Work From Home
Feb 2020 - Apr 2020 (3 months)
Completed 6 projects related to ML algorithms,CNN, DNN, Time Series Analysis and OpenCV.
Publications
Deep Convolutional Generative Modelling for Artificial Microstructure Development of Aluminium - Silicon Alloy
Indian Journal of Data Mining
10 May, 2021
Used Deep Generative Modeling ( a type of unsupervised machine learning technique) for constructing the artificial microstructure of Aluminium-Silicon alloy.
Estimation of Grain Size Distribution of Friction Stir Welded Joint by using Machine Learning Approach
ADCAIJ: Advances in Distributed Computing and Artificial Intelligence Journal
5 May, 2021
Used Machine Learning to determine the grain size distribution in a microstructure of stir zone seam of Friction Stir Welded magnesium AZ31B alloy plate. The grain size parameters such as an equivalent diameter, perimeter, area, orientation etc. were also estimated.
Education
SRM Engineering College
Bachelor of Technology (B.Tech.), Computer Science Engineering
CGPA: 9.2 / None
Achievements
First Postion
HACKSRM3.0
Nov, 2020
Won the First Prize in HACKSRM3.0 Hackathon which had 160+ teams from all over the country.
Top 15 Finalists
Stay Late and Code 2.0
Oct, 2020
Was in the top 15 Finalists for Stay Late and Code 2.0 Hackathon.
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