Mathew David

Data Scientist

Jabalpur

Summary

As a Data Scientist, I bring expertise in Python, R, SQL, and a range of visualization tools, such as Tableau and Power BI. I hold certifications in data science, machine learning, and SQL, and have advanced training in deep learning. My experience includes conducting exploratory data analysis, predictive modeling, and database management. Additionally, I have a proven track record in IT management, leading major projects, and managing budgets.

Overview

years of professional experience

years of post-secondary education

Certifications

Work History

IT Manager

St. Joseph’s Convent School

07.2012 - Current

Running regular checks on network and data security
Identifying and acting on opportunities to improve and update software and systems
Developing and implementing IT policy and best practice guides for the organization
Designing training programs and workshops for staff
Conducting regular system audits
Running and sharing regular operation system reports with senior staff
Overseeing and determining timeframes for major IT projects including system updates, upgrades, migrations, and outages
Managing and reporting on allocation of IT budget
Providing direction for IT team members
Identifying opportunities for team training and skills advancement

Education

Bachelor of Commerce - Computer Application

RDVV

07.2010 - 05.2013

Skills

Programmingundefined

Certification

Certified Data Scientist

Projects

1. Stocks Data Analysis and Visualization

Analyzed daily returns of multiple stocks using Python libraries such as Pandas, Matplotlib, and Seaborn
Utilized external research to create 3D plot of daily returns for multiple stocks
Developed skills in presenting data insights visually to help inform decision-making

2. Exploratory Data Analysis of Flipkart Mobile Brands

Performed Exploratory Data Analysis (EDA) using Python libraries such as Pandas, Matplotlib, and Seaborn
Analyzed mobile prices, identified the brand with the most product offerings, and determined which brand catered to all price range segments
Developed skills in data analysis and visualization techniques

3. Exploratory Data Analysis (EDA) on the Kyphosis disease Dataset

Conducted basic EDA on the Kyphosis disease Dataset using Python and Pandas
Analyzed and visualized the data to gain insights into the Kyphosis disease and its effects on children who underwent corrective spinal surgery
Developed skills in working with small datasets and data preprocessing techniques

4. Life Expectancy Prediction using Linear Regression

Trained a Linear Regression model to predict life expectancy using data obtained from WHO and United Nations website
Conducted data cleaning and feature engineering techniques to eliminate or fill missing values
Developed skills in model training, evaluation, and visualization

5. Credit Card Default Prediction

Performed exploratory data analysis using Python libraries
Utilized various data visualization techniques to gain insights into the data and identify potential issues
Conducted data preparation tasks such as handling missing values, scaling features, and encoding categorical variables in preparation for model training
Trained and evaluated seven different classification models to predict credit card defaults
Identified the Random Forest classifier model as the best performer for this dataset
Developed skills in model evaluation and selection.

Professional Links

LinkedIn - https://www.linkedin.com/in/mathew-david-231ba498/

GitHub - https://github.com/mathewdavid/maths_data_science.git

Timeline