top of page

I'M

Ramsey Hammad.

Statistical Methods Research Scientist & Data Decision Strategist

SKILLS

MY KNOWLEDGE LEVEL IN SOFTWARE

Programming 

R

Python

Jullia

Anaconda

JavaScript

: Shell Scripting

PowerShell/Pyshell

/Z shell/KornShell/Almquist shell

UNIX/Linux Shell

Data Analysis

SPSS

MATLAB

NumPy

Pandas

Alteryx

SAS

Databases

SQL/PostGre/Spark

Oracle PL/SQL

MongoDB

CassandraDB

Visualization

Tableua

PowerBI

SandDance

Seaborn

Plotly

StatsModels

Matplotlib

Machine Learning

NLP

Text-Classification

Nvivo

Sckit-Learn 

Apache Spark

TensorFlow

PyTorch/Pyspark/Pycaret

Sparklyr

Keras

SciPy

NLTK

Tools

Visual Studio Code

Tkinter GUI

Polyglot

Azure ML Studio

Jupyter

Git

IBM Watson

Techniques

Advanced Statistical Modeling and Regression

 Time Series Analysis

Clustering

Anomaly detection

Neural Networks

Experimental Design

Survey Science

Alchemer

Qualtrics

Question-Pro

SAML 2.0

PROFESSIONAL 

R

Ramsey  Hammad

Citi-Program IRB: Social/Behavioral Research Involving Human Subjects

Trained in data science, statistics, Health Sciences, and Research Methods Science, I have an extensive background working with large and varied datasets and using advanced statistical methods.

I recently expanded my skill set to topics including anomaly detection, time series analysis and neural networks incorporating Stacked Ensemble Methods. I am excited to keep learning new methods in a challenging and fast-paced environment.

Formerly, my research interests focused on Applied Statistical Modeling to breakdown non numerical human metrics such as susceptibility, greed and fear with an emphasis on empirical scientific understanding and machine learning.

PORTFOLIO

Merit_edited.jpg
PORTFOLIO
EXPERIENCEO
CONTACT

I'm a paragraph. Click here to add your own text and edit me. I’m a great place for you to tell a story and let your users know a little more about you.

hammadrkh@gmail.com

Tel: 1-571-439-2278

Thanks for submitting!

  • White LinkedIn Icon
  • White Instagram Icon
bottom of page