Data Analyst Python
Resume:
Keerthi Sadanand
*****************@*****.***
www.linkedin.com/in/keerthi-sadanand
CAREER OBJECTIVE:
A result-oriented professional who aims to find an exciting and challenging entry-level position in Industry alongside a company who will continually motivate and drive me to do my best and improve on my skills and abilities in order to achieve the company’s missions and goals.
NOTABLE CONTRIBUTIONS:
Expertise knowledge as a Data Analyst.
Strong knowledge in python,SQL,Excel,Machine Learning Ability to quickly create and apply ideas and solutions. Affective listening and oral communication skills. WORK EXPERIENCE:
Internship:
Firm: Tata Consultancy Service
Duration: 4 Months
Role: Big Data Intern (Analytics & Insight)
Projects: Analysis of Twitter Data using Opinion and Text Mining Description: Extraction of Twitter data and then divided the tweets with respect to the issues of the given domain. Sentiment analysis of the twitter data to classify the tweets to positive, negative or neutral sentiments. And using various visualization techniques for better analysis. Generated automated python code for security tools to check the vulnerability Worked in Ms SQL, Mongo DB.
TECHNICAL SKILLS
COMPUTER SCIENCE SAS,Python, R Language, MySQL, C++, Mongo DB,DBMS,Advance MS Excel Function.
SOFTWARES R Studio, MS Excel, R Shiny, Eviews,Spyder,Jupyther Note,SAS Studio DATA MANAGEMENT Data Analysis,Machine Learning,Data Visulization,Text Analysis,Sentimental Analysis DATA VISUALIZATION Power BI,Tableau
PLATFORM Windows
CERTIFICATION COURSE:
o Data Visualization using Python(An IBM Initiative) o Data Analysis with Python form Cognitive Class(An IBM Initiative) o Introduction to Data Science(An IBM Initiative)
o Hadoop form Cognitive Class(An IBM Initiative)
o Python for Data Science form Cognitive Class(An IBM Initiative) o MySQL for Beginners from Skillzcafe
o Sql Crash Course-PostgreSQL for Beginners from Skillzcafe MINI PROJECT:
1. Pricing Analytics Vohaze is a wholesaler catering to online/offline sellers. it services to online/offline retailers or event management organizations. The main feature is that the platform facilitates customization of the packages. 2. Paper Review:
CLUSTER ANALYSIS USING DATA MINING
APPROACH TO DEVELOP CRM
METHODOLOGY TO ASSESS THE
CUSTOMER LOYALTY
The paper deals with effective and efficient
methodology for the firm’s objective to the best of possible and Customer relationship management,
customer loyalty, RFM model.
3.UCI and KAGGLE DATASETS
Took part in some Kaggle competitions
Downloaded some datasets to run differently
supervised and unsupervised learning algorithms like exploratory data analysis, regression, classification, and various other statistical models to get better outcomes.
ACADEMIC BACKGROUND
Masters of Science Graduated, May 2019
St. Joseph’s College (Bangalore University) (7.98) Lalbagh Road, Bangalore,
Karnataka -560027.
Bachelor of science Graduated, April 2017
Statistics, Physics, Mathematics, (7.36)
St. Aloysius College (Autonomous),
Mangalore, Karnataka -575003.
Higher Secondary
Graduated, March 2014
Govt. Town Higher Secondary School, (86%)
STATE Board, Kerala
Kannur -670001.
High School
Graduated, April 2012
ST. Teresa’s Anglo Indian Girls Higher
Secondary School,
(85%)
STATE Board, Kannur-670013
ADDITIONAL CREDENTIALS
Has attended a workshop on Data Analytics (2018).
Has attended a datagram fest (2017).
Has participated in a workshop on Recent Advances in Information and Communication Technology (2017). Has attended intensive training in soft skills during the year 2016-2017. Has been a volunteer for a National Level Science Fest organized during 2014-2016. Has attended a soft skill development program during 2015-2016. PERSONAL DETAILS
Date of birth: July 10, 1996
Nationality: Indian
Gender: Female
Linguistic Proficiency: English, Hindi, Malayalam, Kannada, Tamil. Hobbies: Travelling, playing cricket, social networking. DECLARATION
I Keerthi Sadanand, hereby declare that the information contained herein is true and correct to the best of my knowledge and belief.
Place: Keerthi Sadanand.
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