MD HAFIZUR RAHMAN

Driven Data Science Intern ready to thrive in demanding digital intelligence processing environments. Well-informed on latest machine learning advancements. Ready to combine tireless hunger for new skills with desire to exploit cutting-edge data science technology.

Certified Data Analyst, DataTrained, Bengaluru - 12 Months

• Big Data Mart Sales Problem

Based on the data collected from scientists at BigMart of 2013 sales data for 1559 products across 10 stores in different cities. The aim was to build a predictive model and find out the sales of each product at a particular store. Task was carried out in Jupyter notebook using various Python tools and ML algorithms.

• Baseball Case Study

This project was based on the dataset from 2014 Major League Baseball seasons in order to develop an algorithm that predicts the number of wins for a given team in the 2015 season based on several different indicators of success. Task was carried out in Jupyter notebook using various Python tools and ML algorithms.

• Mushroom Project

in this project the data set includes descriptions of hypothetical samples corresponding to 23 species of gilled mushrooms in the Agaricus and Lepiota Family (pp. 500-525). Each species is identified as definitely edible, definitely poisonous, or of unknown edibility and not recommended. This latter class was combined with the poisonous one. The Guide clearly states that there is no simple rule for determining the edibility of a mushroom; no rule like ``leaflets three, let it be'' for Poisonous Oak and Ivy. The Goal was to predict the class of Mushroom based on the factor that they are Edible or not.Task was carried out in Jupyter notebook using various Python tools and ML algorithms.