Project Associate @ iMocha

Prediction of Heart Failure using dataset from Kaggle by performing Exploratory Data Analysis and different classifier models to achieve 93.3% accuracy.

Heart Failure Prediction

An IPL (20 over) target score prediction app implemented using Machine Learning Regression algorithms like Linear Regression, Lasso regression, Ridge Regression and deployed on heroku at iplscores-predictor.herokuapp.com

IPL Score Predictor

DevIncept Contribution Program is one month long intensive Open- Source Contribution program by DevIncept. Throughout the program, participants contribute to different projects. I worked on Machine
Learning project named 'DS-Olympus'.

Performed prediction using decision tree algorithm on iris dataset for GRIP July program by TSF.

- Played a key role in Python/Django team. 
- Worked on the development of QZ Wordpress. 
- Worked on Face Recognition module of Zummit AI Framework.

Experienced hands-on working as a Python Programmer and later worked on different Machine learning algorithms and completed 10 Case Studies on Machine Learning. Majorly worked on “Iris dataset classification using Logistic regression in python”  Case study/ Project.

Roles & Responsibility: 
• Data Gathering 
• Data Cleaning
• Data Preprocessing 
• Exploratory data analysis 
• Model Building
• Model Evaluation etc.

Experienced the hands on working of a Business AnalyticsProfessional and worked under the supervision of project mentor & developed the 
project entitled “Classify Suspected Infection in Patients”.

Ojas Gujar

Project Associate @ iMocha