Shivam G.

I am a data science enthusiast and passionate about solving real-world problems using data.

Bangalore , India

Experience: 2 Years

Shivam

Bangalore , India

I am a data science enthusiast and passionate about solving real-world problems using data.

25028.5 USD / Year

Immediate: Available

2 Years

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About Me

I am a data science enthusiast and passionate about solving real-world problems using data. Skilled in Machine Learning, Natural Language Processing, Text Mining, Information Retrieval using, Python, NLTK. I have skills in ...

Skills

Programming Language

Python - 2 Years

Advanced

Data & Analytics

Machine Learning - 2 Years

Advanced

Web Development

Database

Deep Learning - 1 Years

Intermediate

Positions

Data Scientist

Machine Learning Engineer

Portfolio Projects

Dstl Satellite Imagery Feature Detection

https://github.com/shivamgupta7

Company

Dstl Satellite Imagery Feature Detection

Description

Using Libraries: Pandas, NumPy, SciPy, shapely, sklearn, cv2, Tensorflow, Keras
Dstl provides you with 1km x 1km satellite images in both 3-band and 16-band formats. The goal is to detect and classify the types of objects found in these regions.
Every object class is described in the form of Polygons and MultiPolygons, which are simply a list of polygons. We provide two different formats for these shapes: GeoJson and WKT. These are both open source formats for geospatial shapes.
Apply U-Net architecture to solve the image segmentation problem.

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Skills

Deep Learning TensorFlow Keras Python

Tools

Google Colab Tensorflow

Santander Customer Transaction Prediction

https://github.com/shivamgupta7

Company

Santander Customer Transaction Prediction

Description

Using libraries: Pandas, NumPy, SciPy, Matplotlib, sklearn, sci-kit-learn, Model Selection
we can more accurately identify new ways to solve our most common challenge, binary classification problems such as: is a customer satisfied? Will a customer buy this product? Can a customer pay this loan?
Data cleaning, visualization and creating data pipeline for modeling.
Using LightGBM and Catboost Model.

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Skills

Machine Learning Python XG Boost

Tools

Google Colab NumPy

Human Activity Recognition

https://github.com/shivamgupta7/HumanActivityRecognition

Company

Human Activity Recognition

Description

Using libraries: Pandas, NumPy, SciPy, Matplotlib, sklearn, sci-kit-learn, Tensorflow, Keras, Talos
This project is to build a model that predicts human activities such as Walking, Walking_Upstairs, Walking_Downstairs, Sitting, Standing or Laying.
There are a total of 561 features and doing EDA on datasets.
Logistic regression or Linear SVM or RBF SVM and LSTM(1 layer or 2 layers) given the best accuracy.

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Skills

Machine Learning Deep Learning

Tools

NumPy Tensorflow Keras