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Data Analyst
matangi joshi
,
Harrow, United Kingdom
Experience
Skills
I'm offering
I am a Data Science Certified Professional from Imarticus, Mumbai. I have identified data analytics problems, determined correct datasets and variables, cleaned and validated data to ensure completeness and uniformity, devised and applied algorithms and models using R and Python, identified patterns and trends in the data using Tableau and SAS and interpreted the data to discover solutions and opportunities.
I have also turned my own business into a data-driven one by using Tableau and SQL.
Some of the projects I have completed are as follows:
1) Prediction of Disease from symptoms - Developed a model in python using multi-nominal Naïve Bayes, to predict the disease, a person is suffering from according to the symptoms.
2) Prediction of Heart Stroke - Developed a Naïve Bayes classifier model in python, using Kaggle dataset, to predict whether the person will suffer from heart stroke or not.
3) Classification of Cats and Dogs - Developed in R, the project classifies images of cats & dogs (Kaggle competition dataset) with 73% accuracy using MXNet framework.
4) Prediction of Breast Cancer - Developed in R, a logistic regression model to predict recurrence/non-recurrence of breast cancer, using dataset from UCI Machine Learning Repository.
5) Credit Risk Analysis - Developed a logistic regression model in python to predict which customers will default on loans and calculated amount of monetary risk involved using partial dataset of a local bank.
6) Design and Development of Stress ECG - Designed a software filter and GUI in MATLAB for ECG signal processing.
I have also turned my own business into a data-driven one by using Tableau and SQL.
Some of the projects I have completed are as follows:
1) Prediction of Disease from symptoms - Developed a model in python using multi-nominal Naïve Bayes, to predict the disease, a person is suffering from according to the symptoms.
2) Prediction of Heart Stroke - Developed a Naïve Bayes classifier model in python, using Kaggle dataset, to predict whether the person will suffer from heart stroke or not.
3) Classification of Cats and Dogs - Developed in R, the project classifies images of cats & dogs (Kaggle competition dataset) with 73% accuracy using MXNet framework.
4) Prediction of Breast Cancer - Developed in R, a logistic regression model to predict recurrence/non-recurrence of breast cancer, using dataset from UCI Machine Learning Repository.
5) Credit Risk Analysis - Developed a logistic regression model in python to predict which customers will default on loans and calculated amount of monetary risk involved using partial dataset of a local bank.
6) Design and Development of Stress ECG - Designed a software filter and GUI in MATLAB for ECG signal processing.
Markets
United Kingdom
Links for more
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Industries
Language
English
Fluently
Ready for
Larger project
Ongoing relation / part-time
Full time contractor
Available
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