Asim S. Profile

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5.0

(1 review)

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$10 USD / hour

rawalpindi,

pakistan

$10 USD / hour

It's currently 11:10 PM here

Joined June 7, 2015

0 Recommendations

Asim S.

@asimsultan2

5.0

(1 review)

2.6

100%

$10 USD / hour

rawalpindi,

pakistan

$10 USD / hour

100%

Jobs Completed

100%

On Budget

100%

On Time

N/A

Repeat Hire Rate

Data Scientist

Having my experience in the data sciences and machine learning, I work in Natural language Processing whereby I work on the data to extract useful information and features from the text. I have worked on Social media posts and product reviews and have done sentiment analysis and polarity assessment on the text. I mainly develop NLP Text Classification Models using spacy, Google BERT model, and fastText. I have strong expertise in Numpy, pandas, sklearn, and regression models.

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Portfolio

Implementation of Principal Component Analysis to find the nodes that carry most of the information from a high dimensional dataset. Making it readily available for the dataset to be used and needed as per the analytical solutions.

Evaluating-Covariance-matrices

The given project is to predict the classification score for the triplets in the given dataset with the highly imbalanced dataset. The project is developed to use SMOTE (Synthetic Minority Oversampling Technique) to deal with the current problem and to improve the precision and the recall score of the model which would be worst if the data is imbalanced with current values as: (0:262905), (1:558)

SMOTE-Analysis-for-Imbalanced-Datasets

Evaluating-Covariance-matrices

SMOTE-Analysis-for-Imbalanced-Datasets

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5.0

$200.00 USD

Help me make Facebook automated

Very professional

PHP

C Programming

Python

Software Architecture

C++ Programming

Eric Marlon D.

@edavis8055

•

6 years ago

Experience

Elite Technologies

Jun 2017 - Present

Being a Data Scientist, I mainly used to work in the development of the classifiers for the analysis of the text as well as categorical data. My main focus is on the production of the entire platforms for the automation of the real time data from websites and performing analysis and storing them in the database.

Lemay.ai

Apr 2021 - Present

Finding the features that led to the prediction of a machine learning model to be a NO and why would the model say NO by finding the respective weights for each feature. Millions of documents were passed through an unsupervised learning model to get the documents that are similar to each other and finding the relevancy between those clusters. Implementation of a Transformers model and finding the sentences from a corpus based on the given context. Post Training Quantization using Tensorflow-lite