My Contact
***********@*****.***
Chennai
www.linkedin.com/in/faridha1418
Technical Skills
Core Python Expertise
OOPs Concepts
Pandas, Numpy, Beautifulsoup libraries
Data Analysis
Data Visualization
Database Management system - MYSQL
Advanced Microsoft Excel
Jupyter Notebook
Soft Skills
Good communication
Presentation skills
Detail oriented
Ability to work in a team
Problem solving
Analytical Thinking
Education Background
B.E in Computer science and
engineering (2009-2013) from Dr.
Paul’s engineering college affiliated
to Anna university with 6.7 CGPA
Personal Interests
Reading inspirational and motivational
quotes and stories
Volunteering in social and charitable
work
Career Objective
I am a person who puts consistent effort to get an opportunity in information technology through my skills in analyzing data and good hands on working in Database management system,Python programming language and
other related technical skills.
Certifications
Successfully obtained the online Certificate IBM Data Analyst authorized by IBM and offered through Coursera after completing the following 9 courses.
Introduction to Data Analytics
Excel Basics for Data Analysis
Data Visualization and Dashboards with Excel and
Cognos Python for Data Science, AI & Development
Python Project for Data Science
Databases and SQL for Data Science with Python
Data Analysis with Python
Data Visualization with Python
IBM Data Analyst Capstone Project
Gained PCEP-Certified Entry Level Python Programmer from OpenEDG python institute
Attended the masterclass on Advanced excel formulas conducted by skill nation with a certificate of completion Attended the 5-day workshop on Structured Query Language- SQL by Skill Nation and had good learning to define, manipulate and control database effectively.
Projects
Project 1 : Web scraping in Python
Description: Scraped the Timesjobs website to get the jobs with Python skill and copy the job details as a text file. Libraries used: BeautifulSoup, Requests
Project 2 : Exploratory Data Analysis in Python
Description: Applied EDA to investigate the data and summarize the key insights. Figured the basic understanding of data, it's distribution, null values and much more. Tried exploring the data using graphs and through some python functions.
Libraries used: Pandas, matplotlib, seaborn
Faridha