Python 36
Ambitious, career-focused job seeker, anxious to obtain an entry-level Data Analyst position to help launch career while achieving company goals.
Analytical skills
Python 36
SQL Plus
Tableau
Big Data Computing
Machine Learning
Machine Learning
Data Scrapping and Wrangling
RDBMS
Exploratory Data Analysis
TENS(Transcutaneous Electrical Nerve Stimulation) (10/2012 – 03/2013)
Using electrical shock waves to remove a blood clot from the body. I worked as a team player and participated all the phases of the project
Customer Identification in Telecom sector (04/2016 – 06/2016)
Identify the customer groups based on the buying behavior of the products. I involved in this project and segmented the customers into three categories based on behavior of the customers while marketing the particular product plans.
Used Cars Catalogue ( 07/2020 - 08/2020 )
Predicting the resale value of the car based on body type, odometer value, make year, drivetrain, fuel type, etc. I used machine learning random forest method to predict the accuracy fo my project.
Tools used: Python 3.6