This is Anubha Singh, a final-year undergraduate student from India. I am currently pursuing bachelors of technology in Electronics and Communications. I followed the learning path for my data science journey taking small steps, covering every concept and maths behind those concepts, when ultimately I realized that it’s a process. This process is learning, implementing, and repeating. Also, I learned about different other domains like health, finance, and technology which made me realize that how I can use my knowledge in contributing to these sectors. While learning only I came to know about DataScience For Good whose projects excited me since through these projects, I can surely contribute for Good.I am proficient by learning in data analysis, data visualization, machine learning, and even some concepts of deep learning. Also, I have applied my learning in a few projects as well as a few competitions. Some of the remarkable achievements from these competitions are-I got 80th place on the leaderboard among 5060 participants for the HackerEarth pet adoption challenge and 96th place on the leaderboard among 5164 participants for another machine learning challenge named Employee Attrition rate. I have done a lot of projects in machine learning, NLP, and deep learning.I have experience in dealing with both structured and unstructured data. Also, I am good at data preparation and familiar with web scraping. I am well equipped with visualization tools like a tableau. Here are some of my published tableau dashboards-(https://public.tableau.com/profile/anubha.singh) . I am active on Kaggle and am currently a Kaggle notebook expert and discussion expert(https://www.kaggle.com/cerolacia).My website-(https://anubha-singh.herokuapp.com/)

Personal information
Full name: Anubha Singh
User name: Anubha_Singh
Organization memberships
Not a member of any organization.
Awards
No awards received yet.
Volunteer background
Education: Secondary education on Junior Degree (D.A.V Public School,Dhanbad)
LinkedIn profile
Github profile
Portfolio
Volunteer availability
Start date: Nov. 9, 2020
End date: None
Hours available per week: 4
Volunteering interests
No stated preferences.
Skills
Skill
Beginner
Intermediate
Expert
Python
Computer Science (Algorithms)
C/C++/C#
Text Data (NLP)
Multimedia Data (Video or Audio)
SQL
Data in Text Files
Data in Relational Databases
Data Visualization
Experience working on real-world problems using data
Data Analysis
Neural Networks / Deep Learning
Random Forests
Decision Trees
Time Series Models
Unsupervised models
SVMs

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No volunteer work yet.