bandiatindra
I have 7+ years of Data Science & Analytics experience spanning across technology, Consulting and Pharma Companies.
MicrosoftUnited States
Pinned Repositories
100-pandas-puzzles
100 data puzzles for pandas, ranging from short and simple to super tricky (60% complete)
Advanced-Predictive-Modeling
Advanced Predictive Modeling Course Assignments from Fall 2018 in UT Austin. They cover concepts on Linear & Logistic Regression, Neural Networks, SGD, Decision Trees
DataStructures-and-Algorithms
Algorithms such as binary search, Fibonnaci Numbers and their properties, Divide & Conquer Algorithms (Quick Sort, MergeSort, etc.), Data Structures such as Queues, Trees, Heaps, Disjoint Sets, etc. and Dynamic Programming.
Instagram-Scraper
Scraper to scrape the # of followers of a user and a list of all the followers on Instagram. It has further been extended to get a csv of the # of followers for each user who is following a specific account.
Interview-Preparation
This repository includes codes and and questions for Data Science Interviews
Non-Profit-Crowdfunding-Recommendation-System
Content and Collaborative Recommendation System to Suggest New Projects to Donors, Helping DonorsChoose.org Provide More Donations to Schools
Object-Detection-Project
Object-Detection-using-Google-AI-Open-Images
A computer vision problem to identify multiple objects such as woman, man, guitar, fast-food, train, car etc. within an image using deep learning techniques
Telecom_Churn_Prediction-
Predicting churn among telecom customers using Logistic Regression, Random Forest, Support Vector Machine and XG Boost in Python
Text-Analytics-MSBA
This repo contains projects from my Text Analytics Coursework. I took this course in Fall 2018 at UT Austin
bandiatindra's Repositories
bandiatindra/Text-Analytics-MSBA
This repo contains projects from my Text Analytics Coursework. I took this course in Fall 2018 at UT Austin
bandiatindra/Object-Detection-Project
bandiatindra/Instagram-Scraper
Scraper to scrape the # of followers of a user and a list of all the followers on Instagram. It has further been extended to get a csv of the # of followers for each user who is following a specific account.
bandiatindra/Telecom_Churn_Prediction-
Predicting churn among telecom customers using Logistic Regression, Random Forest, Support Vector Machine and XG Boost in Python
bandiatindra/DataStructures-and-Algorithms
Algorithms such as binary search, Fibonnaci Numbers and their properties, Divide & Conquer Algorithms (Quick Sort, MergeSort, etc.), Data Structures such as Queues, Trees, Heaps, Disjoint Sets, etc. and Dynamic Programming.
bandiatindra/Interview-Preparation
This repository includes codes and and questions for Data Science Interviews
bandiatindra/Non-Profit-Crowdfunding-Recommendation-System
Content and Collaborative Recommendation System to Suggest New Projects to Donors, Helping DonorsChoose.org Provide More Donations to Schools
bandiatindra/100-pandas-puzzles
100 data puzzles for pandas, ranging from short and simple to super tricky (60% complete)
bandiatindra/darknet
Convolutional Neural Networks
bandiatindra/Hitchhikers-Guide-Machine-Learning
Guide explaining and implementing fundamental machine learning algorithms in Python
bandiatindra/Instagram_Scrapper_Python
This is a scraper to scrape instagram photos of a particular user using Selenium in Python. You will need to log in into your insta account by giving the user name and password. It is important to use this scraper appropriately. Please do not misuse it!
bandiatindra/Interview-Code
bandiatindra/Object-Detection-using-Google-AI-Open-Images
A computer vision problem to identify multiple objects such as woman, man, guitar, fast-food, train, car etc. within an image using deep learning techniques
bandiatindra/programming-concepts-for-data-science
Basics of programming: algorithms, data structures, object oriented programming
bandiatindra/Advanced-Predictive-Modeling
Advanced Predictive Modeling Course Assignments from Fall 2018 in UT Austin. They cover concepts on Linear & Logistic Regression, Neural Networks, SGD, Decision Trees
bandiatindra/Airbnb_Analysis
bandiatindra/Census-Income-Data-Analysis-Python
Group project completed with Marie Gleichauf, Clay Mason, and Atindra Bandi for Data Analytics Programming Class during Summer 2018 semester of MSBA program. Running logistic regression on census income data.
bandiatindra/cpython
The Python programming language
bandiatindra/data_viz_test
bandiatindra/datasciencecoursera
bandiatindra/fraud-detection-using-dbt-and-snowpark
Feature engineering and ML Model generation using dbt and Snowpark
bandiatindra/Getting-and-Cleaning-Data-Week-4-Project
bandiatindra/ggpy
ggplot port for python
bandiatindra/numpy-100
100 numpy exercises (with solutions)
bandiatindra/NYC-Taxi-Fares-Prediction
bandiatindra/Predictive_Modeling_Part_2
bandiatindra/Property-Recommendations-for-HomeAway-s-Customers-
A vacation rental recommendation system based on customer reviews and property descriptions
bandiatindra/Python-Programming
Python Assignments from the Data Analytics Programming Coursework from Summer 2018 in UT Austin
bandiatindra/STA380
STA 380: Predictive Modeling
bandiatindra/Text-Analytics-