AMALU BIJU adupzl@r.postjobfree.com

+** – 859*******

linkedin.com/in/amalu-biju-837557228

https://github.com/AmaluBiju

EXPERIENCE

Wahy Lab Solutions Kochi February 2022 to April 2022. Data Science – Machine Learning with Python Intern. Developed predictive models using big data, built machine learning models and visualized the results.

PROJECT

HEART DISEASE PREDICTION

Heart Disease is one of the biggest health Problem on these days due to various reasons related with the gender, life style or other diseases. Heart disease is one of the leading causes of death for people of most races in the US. The Heart Disease data set from Kaggle is a cleaned version of the data set. It includes data from consists • Goal: of 319795 This rows project and aimed 18 columns. to apply Machine Learning approaches to predict and classify whether a person is suffering from heart disease or not, using the dataset.

• Plots used: Heat Map representing correlation, Strip Plot, Bar Plot, Count Plot.

• Algorithms used: Logistic Regression, K-Nearest

Neighbour, Decision Tree, Support Vector Machine,

Random Forest, Ada Boosting, Gradient Boosting,

Bagging.

• Conclusion: Gradient Boosting is the best model. I was able to predict that the population suffers from a heart disease.

CERTIFICATIONS

• IBM Certified: Machine Learning with Python.

• Google Certified: Google Data Analytics.

QUALIFICATION SKILLS

• Solid Knowledge on Machine Learning

with Python, R Programming, Pandas,

Numpy, Matplotlib, Data Modelling,

Data Visualization Skill, DBMS, MS

Word,Exccel

• A strong background in mathematics and

statistics.

• Strong Knowledge in programming

languages

EDUCATION

• Msc in Data Analytics from Mar Thoma

College, Thiruvalla (Mahathma Gandhi

University), Result Waiting.

• Bsc in Mathematics from St. Aloysius

College, Edathua in 2020 (Mahathma

Gandhi University), with 6.11.

• Higher Secondary Education in Computer

Science from St. Mary’s HSS,

Champakulam in 2017 with 73%.

• SSLC from S.H HSS, Chaganacherry in

2015 with 88%.

ACHIEVEMENTS

• Participated in the National Web Based

Workshop on Biostatistics and Data

Analytics.

• International Conference on

Mathematics, Statistics, & Data

Science.

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