Piyush K.

Data Scientist(Data Analysis | Data Extraction | Web Scrapping | Machine Learning | Deep Learning)

Hyderabad , India

Experience: 2 Years

Piyush

Hyderabad , India

Data Scientist(Data Analysis | Data Extraction | Web Scrapping | Machine Learning | Deep Learning)

12190.4 USD / Year

Immediate: Available

2 Years

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About Me

I am a Data Scientist with 2 years of professional experience. I can offer you great data analysis, attractive data visualisation, data extraction (web scrapping, web APIs), data wrangling, image processing, text processing, NLP and computer visio...

If you want a machine learning/ deep learning model for your work, you just have to tell me the expected output from the proposed ML/DL model and after that I will create it for your work.

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- If you have the data to train the model then it's fine otherwise I will scrap it from different-different sources.

- if you have uncleaned and raw data then i will clean it.

- if you have cleaned data, I can show you interesting insights/ hidden pattern in data.

My skills include:

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- Python (Pandas, NumPy, Scikit-Learn, Matplotlib, Seaborn, SciPy, etc)

- SQL (RDBMS, Oracle Database, MySQL, SQLServer)

- Machine Learning (XGBoost, CatBoost, Logistic Regression, Linear Regression, Random Forest, Feature Extraction)

- Deep Learning (MLP, CNN, RNN, LSTM, Tensorflow, Keras)

- Data Analysis - Data Visualisation (MS PowerBI) - Data Extraction

- Web Scrapping (Selenium, Beautiful Soup)

- Json Handling

- Natural Language Processing (NLTK, Deep Learning)

- Computer Vision (OpenCV, Deep Learning)

- Unix/Linux

- A/B testing

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Hire me for your work to be done perfectly within time limit.

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Skills

Positions

ML/AI Engineers

Data Analysts

Data Scientist

Portfolio Projects

Description

The aim of this project is to write a python script that can automate a web browser and
extract data automatically by locating those elements on webpage from where data need to
be extracted.

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Media

Description

The aim of this project is to classify whether a given byte file or asm file is belong to a type of
malware or not. I used NLP techniques to predict whether the file is malware or not. It’s a
multiclass classification problem because in this project I am finding the probability of a file to
belong to 9 different type of malwares.

[Python] [Pandas, NumPy, Scikit-learn, Pickle] [Multiprocessing]

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Media

https://github.com/Mr-Piyush-Kumar/Data_Science_Projects/tree/master/GUI_Implementation

Description

A GUI based software which detects objects present in an image using Deep Learning and
returns location of bounding boxes detected by deep learning model around objects present
in an image. The aim of developing this software is to facilitate Data Scientists in creating
new image datasets for the training of their Machine Learning or Deep Learning Model.

[Python] [Qt] [PyQt5, TensorFlow, Pandas, NumPy, Multiprocessing]

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Media

https://nbviewer.jupyter.org/github/Mr-Piyush-Kumar/Data_Science_Projects/blob/master/Corona_virus_analysis/CoronaVirusAnalysis.ipynb

Description

The aim of this project to analyse the spread of corona virus day by day and also how it’s
spreading from one country to another country. I used some geographical representation to
show the spread the corona virus.

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Media

https://nbviewer.jupyter.org/github/Mr-Piyush-Kumar/Data_Science_Projects/blob/master/Finding_Best_Biryani_Point/Finding_Best_Biryani_Point_In_Hyderabad.ipynb

Description

The aim of this project to find best restaurant to eat chicken biryani within 5Km range for a
person who came to Hyderabad for the first time and staying in a hotel. This project is also
targeting people those want to know the best biryani point in their areas.

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Media

https://nbviewer.jupyter.org/github/Mr-Piyush-Kumar/Data_Science_Projects/blob/master/Toronto_City_Neighborhood_Clustring/TorrontoCityNeighborhoodClustring.ipynb

Description

The aim of this project is to give information of neighbourhoods around a location in Toronto
city to a user who is migrating to that location so that the user has good knowledge of
neighbourhoods around that location before migrating there.

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Media

Description

1- Created shell scripts to automate batch process.
(Building automation to centralize client data).
2- Solved the real time problems in application when application deployed.
3- Provided technical support to client after application deployment.
4- Data Analysis and report generation.

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