I have been studying the art of making Data useful for two years now and I do not think that I know it well. But what I do know is that we all are unable to apply the principles into business and drive it. There is a big knowledge-action gap, there is data but it is lying useless. Being a Data Scientist means having the ability to inspire. Data Science is the overlap of so many domains, and I believe that one should touch all of them and learn how to use them. Data Scientists connect, combine and curate. Now for my tech stack, I have working knowledge of the following tools: Power BI, Power Automate, Power Apps Canvas, Azure Web App Services, Fast API, Azure Machine Learning, Azure SQL Server, Azure Devops, Azure ML Drift Analysis and Explainability, IBM AI Fairness 360, Python, NLP Stack ( HF, SpaCy, NLTK, Stanza), ML Stack (Sklearn, Numpy, Matplotlib, Pandas, Dask, ,Datatable), DL Stack (Tensorflow), DB Stack (MySQL, MongoDB, SQL Server).

Personal information
Full name: Siddharth Bisht
User name: siddharthbisht97
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Not a member of any organization.
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Volunteer background
Education: Bachelor's on Computer Science (None)
LinkedIn profile
Volunteer availability
Start date: None
End date: None
Hours available per week: 10
Volunteering interests
No stated preferences.
Skills
Skill
Beginner
Intermediate
Expert
Computer Science (Algorithms)
Python
C/C++/C#
Java
JavaScript
Data in Relational Databases
Data in Text Files
Text Data (NLP)
Network/Graph Data
SQL
Data > 1TB
Multimedia Data (Video or Audio)
Data Visualization
Experience working on real-world problems using data
Experimental Methods (RCTs, A/B testing, etc.)
Data Analysis
Random Forests
Neural Networks / Deep Learning
Time Series Models
Unsupervised models
Semi-Supervised models
Graphical models
SVMs
Decision Trees
Causal inference
R
Matlab

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