Research Analyst (Data science,Python,SQL,Power BI)

Saeideh Mogharehabed

adczyc@r.postjobfree.com Richmond, VA 614-***-**** https://www.linkedin.com/in/saeidehmogharehabed/

An avid data scientist with 3+ year’s professional experience in knowledge such as programming, model development, data science, data analysis and statistical analysis. A detail-oriented engineer with drive for excellence to satisfy organizational goals and objectives.

Technical Skills

Data Management

MATLAB, Python, SQL, C

Data Analysis

Predictive Modeling (classification, clustering, regression and neural networks)

Microsoft Excel

Microsoft Power BI

SPSS

Data Visualization

Model Evaluation Techniques (k-fold cross validation, confusion matrix, etc.)

Time Management

Problem Solving

Developing Novel Solutions

Data Maintenance and Reporting

Teamwork and Interpersonal Skills

Professional Experience

Self-study Student, Richmond, VA, Sep 2018- present

During this time, I moved to another state to accompany my husband for his new job. During this gap, I learned a unique set of programming skills with Python and SQL and gained hands on experience with data science knowledge through various courses such as Machine Learning with Python, Linear Algebra, Neural Networks, Deep Learning, Python, SQL Basics for Data Science Specialization and Microsoft power BI from various websites such as edx.org, coursera.org and udemy.com.

Abbott Laboratories, Columbus, OH

Research analyst, Dec 2017- Aug 2018

Applied qualitative and quantitative techniques for data analyzing, data cleaning and data reconciliation obtained from research and extract meaningful information from big data.

Initiated systematic flowcharts to visualize the process of data maintenance.

Wrote module-based Programming code in Excel for executing mathematical and logical formulas and improved accuracy by 50% in data maintenance and refresh-project.

Researched data to draw conclusions for informed business actions and strategies.

Involved in developing a statistical analysis framework for estimating the number of new assets for refresh-project every month.

Involved in developing reports and dashboards in Power BI. Involved in creating data visualizations like histograms, Pi chart, line chart, scatter plot etc. with Power BI.

Instructed new employees by providing them with important information and resources as part of training procedures.

Medforall Company: Columbus, OH.

Data scientist Intern, Apr 2017- Dec 2017

Data collection, denoising and preprocessing of bio-signals such as heart signal (ECG) and brain signal (EEG).

Developed data science models (supervised and unsupervised machine learning) for seizure detection and emotion detection.

Developed object-oriented programming in Python to implement the desired framework.

Performed multiple model evaluation including k-fold cross validation, confusion matrix and accuracy.

Trained two students for doing data collection and developing machine learning algorithms.

The Ohio State University: Signal Processing Lab, Columbus, OH.

Graduate Research Associate, Aug 2015 - Dec 2016

Project: A Suboptimal Multi-Clustering Algorithm for Random Labeled Point Processes (Funded by National Science Foundation)

Studied and applied Supervised and unsupervised data science models including various clustering and classification algorithms (C-Means, K-Means, KNN, SVM, Regression EM, etc).

Reduced computation complexities and runtime significantly.

Used statistical methods for hypothesis testing for data evaluation and validation.

Developed automated solutions to build synthetic dataset, test and evaluate different algorithms.

Debugging, sanity checking and testing code in Matlab with different datasets.

K. N. Toosi University of Technology: Image Processing Lab, Tehran, Iran.

Graduate Research Associate, Aug 2011 - Feb 2013

Project: Classification of Lung Tissue in HRCT Images of Cystic Fibrosis Patients

-Proposed a diagnosis system based on Machine Vision and Image Processing to detect abnormal tissue in medical images through three stages: image segmentation, feature extraction, and image classification.

-Developed hundreds lines of module-based Matlab code.

Education

Master of Science, Electrical & Computer Engineering, Ohio State University, Columbus, OH, Dec 2016.

Master of Science, Biomedical Engineering, K. N. Toosi University of Technology, Feb 2013.

Bachelor of Science, Electrical Engineering, Isfahan University of Technology, Sep 2010.

Technical Skills

Advanced knowledge in programming (Matlab, Python, Open CV (Familiar), C (Familiar))

Advanced knowledge in Microsoft Excel: If statements, HLOOKUP/VLOOKUP, Pivot Tables, Macro …

Experience working with MySQL, Visio, and Power BI.

Advanced knowledge in Data science.

Experience in data analytics software (SAS, SQL, SPSS).

Ability to understand various data structures.

Certifications

Coursera: Deep Learning, Neural Networks, Mathematics for Machine Learning:Linear Algebra

Collabera TACT: Data Analytics with Excel and Data Science

EDX: Python, Power BI

Abbott: Data Integrity

AddisionTechnologies: SAS

Coursera: SQL

Honors and Achievements

Ranked 2th among biomedical students, KNTU, 2012.

Ranked top 6% among B.Sc. Students of Electrical Engineering, IUT, 2010.

Ranked in the first 1% of the graduate study entrance exam for electrical engineering, 2010.

Ranked in the first 0.1% of Iran’s Nationwide University Entrance Examination, 2006.

Scholarship for top M.Sc. student in the Department of Electrical Engineering (K. N. Toosi

University of Technology).

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