SKILLS

Python

Web Scraping (Beautiful Soup,

Selenium)

Data visualization

Data cleaning

Hypothesis testing

Machine learning (Supervised and

Unsupervised)

Feature engineering

Excel

Deep learning

SQL

LANGUAGE

English

Hindi

INTERESTS

Traveling

Cricket

Learning new things.

MOIN MANSURI

Temporary Address :- Luxuria-2 i block 203 sarkhej Ahmedabad Gujarat India 380055. Permanent Address:- 200 ex-1 Abhinandan colony mandsaur Madhya Pradesh 458001.

adot6l@r.postjobfree.com

787-***-****

OBJECTIVE

To be associated with the organisation that provides me an opportunity to show my skills and improve my knowledge and I'm looking ahead to work in challenging environment and strive for excellence.

EXPERIENCE

HDFC Life

01/03/2020 - 17/08/2021

Corporate Agency Manager

My responsibilities are to manage channel partner's and work with them.

Sales and marketing of investments product, life insurance plan, market link investment plan, .

Customer engagement and Customer Relationship.

Financial analysis of clients.

ICICI BANK

15/07/2019 - 28/02/2020

Sales Executive

* sales and marketing of tax free cards.

* B2B sales, corporate sales

EDUCATION

Innomatics Reaserch Labs

2021

Advance Data Science

Upgrad

2021

Post Graduation Program

Passed

Rajiv Gandhi Technical University

2016

Bachelor Of Engineering

6.11 CGPA

Central Board Of Secondary Education

2012

Higher Secondary

50%

Central Board of Secondary Education

2010

Secondary Education

7.2CGPA

PROJECTS

Web Scraping and EDA

*Technology used

Beautiful Soup, Regular expression, Request,Numpy, Pandas, Matplotlib, seaborn.

*Domain

Real Estate

*Project Description

The aim was to find a budget friendly property in Hyderabad areas.

Used the website called 'Roof and Floor'.

Performed the data cleaning and data extraction to make structured form.

Saved as csv file and performed EDA to get better insights. Concrete compressive strength(Machine Learning)

* Read csv file in notebook with pandas.

*Performed basic analysis ex: shape,size,isnull, outliers,descriptive statistics,data types.

*Performed univariate analysis to find skewness,data distribution.

*Performed bi variate analysis to find correlation.

*Split the data between train and test with 80:20 ratio.

*Used liner regression algorithm for model .

*Evaluated the model on training data .

*Predicted the response of test data.

*Found the performance matrics of the model

ADDITIONAL INFORMATION

GitHub Link - https://github.com/Moin003

STRENGTHS

Good problem solving ability

Self Motivated

Zeal to learn

Good team player

Contact this candidate