
Sharaan Thayanithi
Subject Matter Expert

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About me
Production Engineer @ Morgan Stanley | Data Enthusiast
Education

I.D.U.B.S High School & Junior College
2016 - 2018HSE, 12th Science 84%Undertook the integrated course in order to prepare for the engineering competitive exams, ie: JEE & MHT-CET

Vissanji Academy
2008 - 2016High School -Xth, Science ICSE 87%Opted for Science as a major and Computer Science as the Third Group subject during grade IX

MIT World Peace University
2018 - 2022Bachelor of Technology - BTech Electronics and Telecommunications Engineering 9.3/10Specialization in Artificial IntelligenceRelated courseworks:- -> Artificial Neural Networks-> Machine Learning-> Data Science-> Natural Language Processing-> Maths for Artificial Intelligence-> Pattern Recognition-> Digital Image Processing-> Introduction to Cloud Computing

MIT World Peace University
-Bachelor of Arts - BA
Experience

Chegg Inc.
Feb 2021 - Oct 2022Subject Matter ExpertWorked as a SME for Computer Science Subject at Chegg India Pvt. Ltd as a freelancer to make my pastime, a tad bit productive.Worked and solved over 300+ students' queries/problems hitherto - questions related to CS(Java, C++, DSA), Data Science, Machine learning, DBMS, Computer Networking, and other technological domains

Canspirit Artificial Intelligence
Mar 2021 - Jun 2021Machine Learning InternHands-on experience regarding how a developing idea could be implemented into generating a functional and effective ML model that would be capable of solving real-world problems and on further upscaling, could be well utilized by the organizations for their remunerative benefits. Worked on a couple of ML projects to fathom the Data Science project lifecycle and the rudimentary concepts related to it.Projects worked on developing:-• Credit Defaulter Risk Prediction -> An end-to-end Classification ML problem model.-> Ran several classification algorithms such as K-means, Naive Bayes, and XGBoost, but finally utilized K-means clustering algorithm to train the model, since it gave the highest accuracy and a decent ROC-AUC score compared to other algorithms.• University Admission Prediction -> An end-to-end Regression/Prediction ML problem model.-> Utilized the Linear Regression algorithm to train the model, which was then hyperparameter-tuned in order for its regularization, so as to further increase its accuracy.Used HTML & CSS for both the models with respect to developing the UI of the model and Flask framework to connect it with the internet(web) and deployed them onto the HEROKU platform. Show less

Sui-Cura Artisans®
Nov 2021 - Jan 2022Business Intern- Managed customer database, reports and track of order logs.- Performed benchmark analysis to apprehend market fit and the right costing of products.- Built vizualizations to provide useful business insights, in order to leverage sales.

NICE
Jul 2022 - Jul 2023Associate Professional Services Engineer
Morgan Stanley
Sept 2023 - nowReliability Production Engineer
Licenses & Certifications
- View certificate

Foundations of Data Analysis
CourseraApr 2023 - View certificate

Build Dashboards in PowerBI
CourseraJun 2023 - View certificate

Data Vizualization in Python
CourseraApr 2023 - View certificate

Introduction to Research
NPTELJun 2019 - View certificate

Data Analysis with Python
CourseraMay 2023 - View certificate

Ask Questions to Make Data-Driven Decisions
CourseraApr 2023 - View certificate

Share Data Through the Art of Visualization
CourseraMay 2023 - View certificate

Prepare Data for Exploration
CourseraApr 2023 
Introduction to Programming Using Java
Codekul; - The Gurukul for Coders !Nov 2020- View certificate

Analyze Data to Answer Questions
CourseraMay 2023 - View certificate

Google Data Analytics Professional
GoogleMay 2023 - View certificate

Process Data from Dirty to Clean
CourseraApr 2023 - View certificate

Python for Data Science and Machine Learning
UdemyMar 2022
Volunteer Experience
Public Speaker
Issued by Toastmasters International on Sept 2021
Associated with Sharaan Thayanithi
Languages
- enEnglish
- hiHindi
- taTamil
- maMarathi
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