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Shabari Girish K V S
Senior Data Scientist at Tiger Analytics| Leveraging AI to drive Business Success | UofT2020
About
Shabari Girish K V S is a highly skilled Data Scientist with over 4 years of experience in the field of Data Science and Analytics. He holds a Master of Engineering degree in Data Science and Analytics from the University of Toronto and a Bachelor of Technology degree in Mechanical Engineering from Amrita University. Shabari has extensive experience in deriving insights from data for data-driven decision-making, and he has achieved tangible benefits in multiple projects in various roles. He is an expert in working with Machine Learning, Deep Learning, Recommender Systems, and Natural Language Processing techniques. Shabari's technical skills include Python (Numpy, Pandas, Scikit-Learn, Whoosh, NLTK, Scipy), MS Excel, MS PowerQuery, MySQL, ACL, HIVE, PySpark, Scala, Azure Data Bricks, Tensorflow, Keras, and more. He is also proficient in various visualization tools such as Python (Matplotlib, Plotly, Seaborn, Folium, Basemap), QlikView, PowerBI, and Tableau. In his current role as a Data Scientist at RBC Capital Markets, Shabari is responsible for developing and implementing advanced machine learning algorithms to solve complex business problems. He is also proficient in Amazon Web Services (AWS - Certified), Snowflake, Google Big Query, Flask, and Docker. Prior to joining RBC Capital Markets, Shabari worked as a Data Scientist at Nerd for Tech, where he researched and published articles on Online Learning, Optimizers for Neural Networks, and Anomaly Detection. He also developed and tuned an anomaly detection model (96% F1-Score) for protection against malware installation. Shabari has also worked as a Business Analyst at Bauer Hockey, where he analyzed data for 30+ retailers resulting in revenue of ~$120K in marketing campaigns. He spearheaded ETL pipeline creation for efficient preprocessing of data and designed scalable dynamic dashboards in PowerBI, Tableau for business reports, and strategic meetings. Overall, Shabari is a highly skilled Data Scientist with expertise in various data science and analytics tools and techniques. He is a proactive problem solver with excellent analytical and consulting skills, making him an invaluable asset to any organization.
Education
• university of toronto
• amrita vishwa vidyapeetham
Companies
• rbc
• bauer hockey
• university of toronto
• lt
Experience
6.2 Years
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Skills
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Amazon Web Services (AWS)
analytics
Apache Hive
architecture
Artificial Intelligence (AI)
Azure
Azure Data Factory
Azure Functions
Business Intelligence (BI)
Consulting
Customer Experience
Data Mining
Data Pipelines
Data Science
Data Scientist
Data Warehouse
Data Warehousing
Deep Learning
Design
Docker
Excel
Extract, Transform, Load (ETL)
Flask
Hive
Keras
linear regression
Logic and Reasoning
Logistic Regression
Machine Learning (ML)
marketing
Microsoft Azure
MySQL
Natural Language Processing (NLP)
NLTK
Pandas
Pandas (Software)
Power BI
pyspark
Python
recommender systems
Research Scientist
Scala
Scikit
Scikit-Learn
Scrum
Seaborn
Snowflake
SQL
Support Vector Machine (SVM)
SVM
Tableau
teaching
Tensorflow
Vision
Web
Web Services
Contact Details
Email (Verified)
shaXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXcaMobile Number
+1 XXXXXXXX05Education
university of toronto
Master of Engineering - MEng
2018 - 2020
amrita vishwa vidyapeetham
Bachelor of Technology
2012 - 2016
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