Data Scientist/Data Engineer

NISHA MUTHUKUMARAN

Phone: +1-603-***-****

E-mail: ********.*@*****.***

Linkedin: https://www.linkedin.com/in/nisha-muthukumaran-abb45aa1/

Current status: Candidate for MS – Analytics & Data Science (Expected May 2018)

OBJECTIVE

Graduate student currently pursuing Masters in Analytics and Data science

Over 4 years of IT Experience in data base, analytics and data science and Visualization seeking an opportunity to work with the Data to predict useful outcomes.

Experience with machine learning algorithms such as regressions, KNN, Naïve Bayes, Decision trees, Deep Learning, K-means clustering and Neural nets.

Deep understanding of statistical distributions and linear algebra.

Experience in exploratory data analysis using R language.

Experience in writing code in R and Python for data cleansing, data mining, statistical analysis, and modeling.

Knowledge of widely used tools and frameworks including Pandas, Scikit-learn, NumPy, and SciPy

Experience in SQL

Experience in creating different types of data visualization using R, Python and Tableau.

Experience in Agile-Scrum methodologies

Skilled at assessing client needs, working in groups, suggesting ideas that enhance efficiency and performance, implementing technology solutions, and training end users.

SKILLS

Programming: Python, R, SAS, SQL, Visual Basic, HTML

Visual Analytics: Tableau, JMP, R and Python

Data Architecture: Big Data, Hadoop, AWS, No SQL and Mongo DB

Frontier (ALM tool), Statistics, Matrix Algebra, Linear algebra, Machine learning, Data Analysis, Customer Analytics and Segmentation, Data Mining, Data Cleaning and Management, Data extraction, Web scraping

EDUCATION

Master of Science in Analytics & Data Science (May 2018)

University of New Hampshire - Durham, New Hampshire, USA

Bachelor of Science in Electronics and Communication Engineering (May 2013)

SRM University – Chennai, Tamil Nadu India

WORK EXPERIENCE

Software Engineer (Data Engineer)

Fidelity Investments (USA) - June 2015 to May 2017

Solid database skills in a relational database (Oracle, MySQL, Maria DB)

Data Analysis with large complex data sets and data warehouses

Business analysis and requirements documentation

Experience in using R packages

Programming in SAS

Create data visualization with tools like Tableau

Associate Software Engineer (Full-stack developer)

Fidelity Investments (USA) - June 2013 to May 2015

Excellent knowledge of data structures, algorithms and design patterns

Excellent Python coding skills and understanding of Python best practices

Excellent Database and SQL knowledge

High level of comfort using Python data libraries, particularly Pandas

Experience in automating the GUI applications (Microsoft Visual Basic)

Knowledge of best practices and solid design principles in object oriented and functional programming

Experience in AWS cloud platform

ANALYTICS AND DATA SCIENCE PROJECTS

University of New Hampshire - Durham, New Hampshire, USA – May 2017 to May 2018

Airbnb

Project description:

The purpose of this study is to determine the potential profitability and risks associated with using Airbnb to leverage property to earn short-term income and/or long run returns from the home owners’ perspective. Our research utilized Airbnb listing data to explore the Airbnb marketplace in the city of Boston by coupling listing data with home values and rental prices from Zillow. Our research explored the different methods employed by property owners using Airbnb to generate income. Using qualitative and quantitative measures we explored the distinctions between using Airbnb as opposed to traditional long-term leasing. With respect to the Boston area, our study concluded that Airbnb is a risky investment but will give greater returns than conventional long-term leasing and can provide significant supplementary income in the short-term.

Technology and Skills:

Python, R, SQL, Tableau, Statistics and linear algebra, Data extraction, JMP, Web scraping

Elliot Healthcare

Project description:

Predicting Fall Index at Elliot group of hospitals, US

Often hospitals are imposed a penalty when a patient falls within the hospital environment. They need to understand what the trends are in the patients falling, which patients fall more often than others, to mitigate this. We aim at providing patterns in the falls so that hospitals can be pro-active in identifying the patients who are highly likely to fall and reducing their probability of falling.

Technology and Skills:

EPIC, Python, SQL, Tableau, Statistics, Data Analysis, Clustering

Darling Consulting Group

Project description:

Predicting pre-payment of loans for banks.

Since banks receive income from loans interests, pre-payment of a loan poses as a problem to banks. We aim at identifying the type of customers who are highly likely to pre-pay a loan.

Technology and Skills:

Python, SQL, Tableau, Statistics, Data Analysis, Clustering, Regression models

ADDITIONAL INFORMATION

Social worker

Organized and facilitated many ‘Fidelity Cares’ initiatives which require collaborations with local NGOs to perform community service and help those in need

Photographer

Photography page - https://www.facebook.com/NishaPhotography2014/

I developed the interest and passion for photography at a very young age and I have been pursuing it ever since.

Thanks

Nisha Muthukumaran

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