NILEENA AK

Data Scientist +971-**-***-**** adh2ld@r.postjobfree.com

http://linkedin.com/in/nileena-ak

PERSONAL PROFILE

Diligent data scientist with excellent mathematical and statistical knowledge and has the ability to identify the fine points of data in a sea of information. Able to create data regression models, using predictive data modelling and analyze data mining algorithms to deliver insights and implement action-oriented solutions to complex business problems. SKILLS & ABILITIES

• R, Python (Pandas, NumPy, SKlearn, BeautifulSoup, OpenCV, Scrapy)

• SAS, SQL, Tableau

• Statistical and Mathematical analysis

• Machine learning techniques

• Data mining, Data analysis, Data visualization

• MS – Excel, MS PowerPoint and Word

• Strategic thinking and Good communication skills EXPERIENCE

Oct 2020-

Present

Sep 2019-

Jun 2020

CHEGG Q&A Expert – Statistics

• In charge of providing solutions to the questions associated with statistics requested by the students across the world. JAYSANTECH Data Science Consultant – Freelancer

• Research and create scenarios related to data science for data science students.

• Work independently or as part of a team to design and develop advanced data science content.

Jul 2019-

Sep 2019

TARF Data Science Intern

• Assist the Director of the team in scraping the data from the web and analyzing the data to help the senior management to make appropriate decisions.

• Using current programming languages such as Python, R and data mining technologies to write codes, complete

programming and perform testing and analysis.

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EDUCATION

Jul 2019-Present MSc. Statistics Acharya Nagarjuna University

• Statistics and Probability

• Actuarial Statistics

• Econometrics

Feb 2019-Jun 2019 Data Science Imarticus Learning

• Excelled in machine learning and data science course work

• Data cleansing and data analysis using Python, R, SAS and SQL

• Projects using regression models, SVM, random forest and decision trees

• Visualization using Tableau and data presentation using dashboards

Jun 2015-Apr 2018 BSc. Mathematics University of Calicut

• Excelled in Statistics and Mathematical Economics along with Mathematics

• Secured first class

• Academic project on Taylor Series

PROJECTS

• Loan prediction practice using Python

• Default Modelling using Logistic Regression in R and Python

• Default Modelling using SVM in R

• Credit Risk Analysis using SVM in Python

• Store Data Analytics in SAS

• Network Intrusion Detection using Decision Trees and ensemble learning in R and Python

• Big Mart sales prediction using R

• Good read books analysis using Python in Kaggle

• Twitter sentiment analysis

LANGUAGES

• English

• Hindi

• Malayalam

PERSONAL PROFILE

• Date of Birth: 08 April 1994

• Nationality: Indian

• Marital Status: Married

• Gender: Female

• Visa: Husband Sponsorship

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