Data Analyst

************@*****.*** linkedin.com/in/jeslipoyil

+312******* github.com/Jesli-Edavanapoyil

JESLI EDAVANA POYIL

A graduate of Masters in Computer Applications with Data Analyst Nano Degree specialized, Capable to conduct full lifecycle activities including requirements analysis and design, developing analysis and reporting capabilities, and continuously monitoring performance and quality control Skills: R programming, Python, SQL, Java, Pytorch, Statistical Analysis, Classification, Predictive Analysis, Visualization, HTML, Descriptive and Inferential statistics, Machine learning Regular contributor to Machine Learning, data analytics project on GitHub. Project Experience:

Communicate data findings-US Bikeshare data (DEC-18-JAN-19)

Use Python to explore data related to bikeshare systems for three major cities in US.

EDA, Data quality Assessments, Visualization of data insights NumPy, Pandas, Matplotlib

compared the relative volume of trips made between three U.S. cities and performing a statistical test or fitting the data to a model for making predictions Image Classifier (Pytorch Scholarship) (NOV-18-JAN19)

Deep learning module titled as 'Image Classifier with Deep Learning' attempts to train an image classifier to recognize different species of flowers. Wrangle and Analyze data (NOV-18-JAN19)

Gather data from multiple sources (WeRateDogs Twitter account) gathering files, accessing data from APIs, query and analyze Twitter data from WeRateDogs.

Import data of various file formats into pandas, including flat files (e.g. TSV), HTML files, TXT files, and JSON files. Identify data quality issues and categorize them using metrics: validity, accuracy, completeness, consistency, and uniformity Business Analytics with R (APR-18-JUNE-18)

Perform Exploratory Data Analysis and establish hypothesis of the data.(Census data).

Fit Classification model on training set (Logistic Regression/Decision Tree) Perform validation of the models (ROC curve, Confusion Matrix). Used machine learning algorithms to build classification models.

Test for multicollinearity, handle outliers, treat missing data. Academic Qualification

Master’s Degree in Computer Science (MCA) under Visvesvaraya Technical University. Bachelors in physics (B. Sc) calicut University.

Plus-Two under government of Kerala (12th).

Secondary School (10th) under government of Kerala. Certifications

UDACITY - Data Analyst Nano Degree ( AUG-2018-FEB-2019) PYTORCH-Scholarship challenge program (NOV-2018-JAN-2019) EDURIKA-Data analytics in R programming (DEC-2017-MAR-2018) H4-EAD-Authorize to work any employer in USA

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