Iman Tabari

Bis 2019, Data Analyst, NIOC

Tehran, Iran (Islamische Republik )

Über mich

As an experienced data scientist and engineer, I have a proven track record of working with complex data challenges. I am proficient in mathematical modeling, statistical analysis, and computer programing, with expertise in Python (Pandas, Numpy, Motplotlib, Sklearn, Tensorflow), and SQL. Recently, I successfully completed a Master's degree in data science with a specialization in business applications, which has significantly enhanced my expertise in machine learning, artificial intelligence, data structures and algorithms, advanced programming, and finance. With a strong foundation in these areas, I am well-equipped to deliver impactful solutions in the realm of data science. You can find my sample codes at: https://github.com/ImanTabari

Fähigkeiten und Kenntnisse

Estimation Theory
Factorial Experiment
ANOVA
Hypothesis Test
unsupervised learning
Supervised learning
Seaborn
Matplotlib
sklearn
Python pandas
Python NumPy
Machine Learning
Machine
Data Science
Python
Deep Learning
TensorFlow
SQL

Werdegang

Berufserfahrung von Iman Tabari

  • 2 Jahre und 10 Monate, Mai 2019 - Feb. 2022

    Data Scientist

    NIOC

    Productivity Management: • Used logistic regression to classify projects based on costs and earnings, enabling data-driven decisions. • Developed multilinear regression model to predict total productivity, achieving 7% improvement. Empowered organization to optimize productivity confidently.

  • 2 Jahre und 10 Monate, Mai 2019 - Feb. 2022

    Data Scientist

    NIOC

  • 5 Jahre, Juni 2014 - Mai 2019

    Data Analyst

    NIOC

    • Conducted quantitative risk analysis on maintenance data using the KNN algorithm to predict failure consequences and optimize maintenance planning, resulting in a 12% reduction in failures. • Developed a multilinear regression model to enhance equipment availability by 5%, identifying key factors influencing availability in maintenance data analysis. • Utilized design of experiments and statistical models like ANOVA to optimize production specifications, achieving an 11% improvement in product quality.

Ausbildung von Iman Tabari

  • 1 Jahr und 4 Monate, Feb. 2022 - Mai 2023

    IT for Business Data Analysis

    IBS International Business School at Budapest/ University of Buckingham

    Multiple coursework such as Coding Fundamentals, Application Development, Automation, Data Preparation, Machine Learning, Deep Learning and big data, Decision making and statistics, Business and Finance fundamentals, Financial Markets. Thesis: Forecasting Temperature Anomalies: A Time- Series Modeling and Analysis Approach for 3- Month Ahead Prediction

  • 2 Jahre und 5 Monate, Sep. 2006 - Jan. 2009

    Industrial Engineering and Operations Research

    Amirkabir University of Technology (Polytechnic University of Tehran)

    Thesis: I introduced two Evolutionary models to solve a Multi-Objective problem for scheduling in a flexible flow-shops environment with buffer constraints and sequence-dependent setup times.

  • 5 Jahre und 1 Monat, Sep. 2000 - Sep. 2005

    Industrial Engineering and Operations Research

    Isfahan University of Technology

Sprachen

  • Englisch

    Fließend

  • Persian

    Muttersprache

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