Mathematics Teacher Data Scientist

Nastaran Rahnamaei

Middletown, DE 512-***-**** adm034@r.postjobfree.com LinkedIn GitHub

SUMMARY

Data scientist with a strong mathematical background, with experience in utilizing machine learning methods such Supervised learning, Unsupervised learning to predict data modeling and analysis of data mining algorithms. Delivering insights and implementing action-oriented solutions to complex and challenging business problems.

Strong ability to interpret and reference various formulas to solve complicated challenges.

Highly motivated, methodical, and well organized with several years of proven experience in mentoring/coaching students as well as providing the consultation for their future.

CORE COMPETENCIES

Statistical Data Analysis, computing methods

Programming Language (Python and SQL)

Model Building

Data structures

Data science research methods

Supervised and unsupervised machine learning algorithms

Regression Analysis

Data mining

Data Visualization

Math (Statistics and probability)

Relational database (MySQL)

Technical Problem-Solving

Critical thinking, Decision-making

Education & Certifications

B.Sc., Pure Mathematics, Azad University, July. 2007 (Accredited by WES – New York)

Data Science Career Track Certification, Springboard Apr. 2020 – Current

Data Science Bootcamp, Udemy E-Learning Platform, August 2019

Python for Data Science and Artificial Intelligence, Coursera E-Learning Platform, September 2019

Introduction to Data Science in Python, Coursera E-Learning Platform, September 2019

Machine Learning, Coursera E-Learning Platform, October 2019

Programming (Python) for Everybody, Coursera E-Learning Platform, October 2019

US Citizen (Relocated to the US in 2012)

Professional Experience

Springboard Data Science Career Track Data Science Fellow Online, United States Apr. 2020 – Current

500+ hours of hands-on course material, with 1:1 industry expert mentor oversight, and completion of 2 in-depth portfolio projects. Mastered skills in Python, SQL, data wrangling, data visualization, hypothesis testing, and machine learning.

In one of my capstone projects which was about credit card fraud detection, I built a machine learning models to identify whether new transactions are fraudulent or not and four type of models of machine learning has been used to examine their performance on a dataset which contains real world transaction data.

Addressed the problem of identifying fake news by detecting and analyzing fake news features, identifying the textual and sociocultural characteristics of fake news features.

Eye Level Learning Center, Math Teacher Detroit, Michigan, United States Apr. 2019 – Apr. 2020

Supervised students, oversaw practices and provided solutions to all Elementary, Middle and High School students.

Taught new techniques to solve problems and taught future subjects based on school schedule.

Provided booklets to students and taught critical thinking math to students.

Mezon Nasi, International Sales Entrepreneur June 2015 – April 2019

Provided leadership, expertise and direction in the business as the owner of the international small business.

Bought clothing, accessories at different online and local shopping centers at wholesale/ discounted price to sell them to the customers with marked up price.

Managed local sales agents and other team members to provide the best customer service to clients.

Handled all customer service issues in detail and provide consultation and coaching to team members satisfying customers.

Self Employed, Daily Stock Trader June 2014 – April 2015

Determined market sentiment via research, new evaluation and data analysis.

Forecast of future financial price movements based on an examination of past price movements by analyzing trading charts technically.

Research and evaluate investment opportunities, assessing short- and long-term risks associated with each company.

Monitor business and financial news and gained expertise in quantifying effect of world events on financial markets.

Austin Community College, Mathematics Tutor March 2014 – Aug 2014

Provided teaching assistant to all college students at the learning lab regarding their mathematical concerns, questions, and requests.

Successfully and professionally taught students to fit their individual needs in area of Pre-Algebra, Algebra (I & II), Geometry, Pre-Calculus, Calculus, Trigonometry.

Effectively balanced tutoring hours given for each assigned student to cover as many people as I could teach during specific shift.

RELOCATED TO UNITED STATES - Worked outside of the educational industry as a shift manager Nov 2012 – July 2013

Mathematics Teacher Sep. 2003 – Sep. 2012

Taught Mathematics and related math courses to Middle School and High School and College students.

Supervised student`s practices and solved their problems

Actively instruct students, create lesson plans, assign and correct homework, manage students in the classroom, communicate with parents and help students prepare for standardized testing.

Planned and organized material for instruction and presented and reinforced lessons as appropriate.

Educational Advisor Sep. 2003 – Sep. 2012

Counseled High School & Pre-University Students.

Provided goal setting courses to students and taught them how to set their plan properly to achieve their goals.

Prepared students for the Bi-Weekly exams and evaluated their results to provide them consultations for future examinations.

Met with their parents monthly to provide them updates regarding the progress of their children and being available for their call as needed.

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