Prajwal
Data Scientist
Bengaluru,KA
Summary
Data Science enthusiast skilled in Machine Learning, statistical modelling & data visualizations. Passionate & thriving analyst with the ability to apply ML techniques & algorithms development to solve real world problems.
Overview
1
1
year of professional experience
6
6
years of post-secondary education
3
3
Certifications
Work History
Data Scientist Intern
Flip Robo Technologies Pvt ltd
Bangalore, Karnataka
06.2021 - 12.2021
* Used BeautifulSoup, Selenium Python Library to scrape the desired data from a given URL in an automated way.
* Worked in telecom industry project in providing the micro credit loan to which type of customers by consideration of various inputs using machine learning .
* Worked on Fake news Detection Project using Natural Language Processing/Machine learning.
* Worked on various deep learning , Time series and machine learning models.
Education
PG Diploma - Data Science And Machine Learning
Data Trained
Bangaluru 12.2020 - 12.2021
Bachelor of Commerce - Accounting And Business Management
Seshadripuram Pre-University College
Bengaluru 05.2011 - 05.2016
Skills
Python
Machine Learning
Deep Learning
Natural Language Processing
Data Analysis
Data Visualizations
Web Scraping
MySQL
Tableau
Computer vision
Accomplishments
Prediction of likelihood of loan default from a bank customer
Objective : The project aimed to predict whether a customer would default a loan or not.
Approach : Mean imputation was used to impute missing values in the dataset. Algorithms like Random forest and Decision tree were used to make the prediction.
Achievements : Decision Tree Regressor having a f1 score of 87 and cross validation score of 80 and AUC score of 87
Tech stack : Python - Matplotlib, seaborn , Machine learning , jupyter notebook.
Census Income Dataset
Objective : Dataset is extracted from 1994 U.S Census data. Task is to train the binary classifier to predict if an individuals' income is above or below $50K.
Approach : Repeated features, Misclassification, Null Value imputation. Performed data visualization and did a model building using Random Forest Classifier.
Achievements : Random Forest Classifier having a cross validation score of 85 and AUC score of 85
Tech stack : Python - Matplotlib, seaborn , Machine learning , jupyter notebook.
Certification
Post Graduate Diploma in Data Science from Data Trained Online
Timeline
Data Visualisation using Tableau from Great Learning
01-2022
Data Scientist Intern
Flip Robo Technologies Pvt ltd
06.2021 - 12.2021
Python Essential Training from LinkedIn Learning
02-2021
Post Graduate Diploma in Data Science from Data Trained Online
01-2021
PG Diploma - Data Science And Machine Learning
Data Trained
12.2020 - 12.2021
Bachelor of Commerce - Accounting And Business Management
Seshadripuram Pre-University College
05.2011 - 05.2016