Data Analyst Machine Learning

Mohammad Khadar

567-***-**** Houston, TX ***** ***************@*****.***

Website: https://mahyar915.github.io/MohammadKhadarTheAnalyst.github.io/ LinkedIn: https://www.linkedin.com/in/mohammadkhadar/ GitHub: https://www.github.com/Mahyar915/

SUMMARY:

With dual Master's degrees in Chemical Engineering and Computer Science/Data Analysis, I bring a unique blend of technical expertise. Skilled in Python, C++, and R, with advanced expertise in SQL (MySQL, PostgreSQL, NoSQL), cloud-based databases, and data analysis tools. Proficient in machine learning algorithms, data visualization (Tableau, Power BI), and digital marketing. Strong communicator and problem-solver with time management skills, eager to drive impactful results in data-focused roles.

PROFESSIONAL EXPERIENCE:

Data Analyst, Internship University of Findlay Mazza Museum (May 2024 - Present)

-Identifying patterns, inconsistencies, and anomalies within datasets.

-Evaluate the return on investment (ROI) and perform data analyses and develop intuitive dashboards using Business Intelligence tools for stakeholder use.

-Execute comprehensive analysis of user behavior and preferences, delivering insights to guide product development.

-Creating real-time KPI modules to track visitor trends and improve event effectiveness.

-Working closely with cross-functional teams, including IT professionals and business units, to embed data-driven insights into strategic plans.

Graduate Assistant, Data Analyst, Instructor University of Findlay Mazza Museum (May 2023 - Apr 2024)

-Leveraged datasets to conduct analyses and created user-friendly dashboards using BI tools for stakeholders.

-Conducted in-depth analysis of user behavior and preferences using advanced analytics tools, providing actionable insights for product development.

-Developed real-time KPI modules to monitor visitor fluctuations and enhance event effectiveness.

Oiler Business Intelligence, Data Analyst University of Findlay's Physical Plant Dept (Jan 2022 - Apr 2023)

-Established an interface for utility data flow, building predictive models to forecast usage and detect anomalies.

-Collaborated with an 8-person team to deliver sub-modules on time and within budget.

Business System Analyst Parsimpex Group, Italy (Oct 2020 - Jul 2021)

-Utilized logistics data for statistical analyses, enabling insights to enhance marketing and sales processes.

-Developed actionable dashboards to support strategic decision-making and executed comprehensive test plans to ensure system functionality, ensuring all reported data and information are accurate, consistent, relevant, and timely.

Process Engineer & Junior Data Analyst Pouya Gostar Khorasan, Iran (Oct 2017 - May 2020)

-Ensured product quality and consistency by developing and implementing quality control procedures, monitoring process parameters, and conducting root cause analysis of deviations or defects.

-Analyzed market segments and utilized Python programming and SQL queries to make data-driven decisions across departments, improving marketing strategies and enhancing business outcomes.

Gas Processing Specialist South Pars Gas Complex, Iran (Oct 2016 - Sep 2017)

-Upstream Operations: Oversaw daily operations of LNG processing plants, ensuring optimal equipment performance and efficient natural gas separation, including extracting NGLs and condensates.

-Midstream Purification: Ensured effective removal of impurities (H S, CO, water vapor) to meet specifications and resolved issues with LNG processing equipment like compressors and cryogenic units.

-Safety Compliance: Ensured all operations complied with safety regulations and standards, implementing protocols to protect workers and the environment.

PROJECTS:

Capstone Project: Predictive Analysis for Graduate Job Placement:

-Utilized data preprocessing techniques such as Label Encoding and One-Hot Encoding to clean and normalize a dataset of 1,927 records, transforming qualitative data into a quantitative format suitable for analysis.

-Developed predictive models using machine learning techniques such as Decision Trees, Random Forests, and Logistic Regression to analyze job placement trends.

-Optimized model accuracy through hyperparameter tuning and five-fold cross-validation.

-Conducted comparative analysis of Decision Tree and Random Forest models, revealing similar performance. Preferred Decision Tree for its interpretability, with 'Degree' (over 65% importance score) and 'College' (about 15% importance score) as the most significant variables.

Credit Analyst Experience:

-Worked with the German Credit Data dataset from the Kaggle website.

-Gained an in-depth understanding of credit analysis principles and techniques.

-Assessed creditworthiness, identified risk factors, and predicted default probabilities.

-Applied machine learning models for predictive and comparative analysis to assess credit risk.

-Translated complex data into clear reports and visualizations for strategic planning and risk management.

Real-Time Visitor Trend Analysis and KPI Dashboard Development:

-Created a KPI dashboard integrating Excel, Python, and machine learning to monitor the Mazza Museum visitor trends.

-Achieved a 30% increase in visitor numbers within six months through data-driven decision-making.

-Implemented alert systems and predictive analytics to aid operational decisions and enhance visitor experience.

SKILLS:

-Programming & Databases: Python, R, and SQL (Structured Query Language) for data extraction, cleaning, and analysis. Familiar with SAP Business Objects, Oracle BI, EPIC Caboodle, EPIC SlicerDicer

-Data Analysis & Visualization: Tableau, Power BI, Visio, ETL processes, Big Data

-Machine Learning: Machine Learning algorithms, Neural Networks.

-Business Tools & Processes: Salesforce CRM, SWOT analysis, Familiar with GRC (Governance, Risk, and Compliance) product analysis, familiar with Content Management Platforms(CMPs) like WordPress.

-General Skills: Proficient in time management, and prioritizing tasks. Strong Written and verbal communication skills for both independent projects and teamwork, committed to staying updated.

EDUCATION:

-The University of Findlay, Findlay, OH (Apr 2024)

Master's in Computer Science (Applied Security and Analytics)

-Azad University of Shahrood, Iran (Jun 2016)

Master's in Chemical Engineering (Transport Phenomena)

-Azad University of Quchan, Iran (Nov 2011)

-Bachelor's in Chemical Engineering(Gas Industry)

CERTIFICATES:

-Udemy: Python for Machine Learning.

-Udemy: Linear Regression and Logistic Regression in Python

-Udemy: Excel Data Analysis with Pivot Tables and Pivot Charts.

-Health Safety Environment (HSE) Certification

Volunteer Activity:

-City Mission Organization, Findlay, Ohio: helped prepare food in the shelter kitchen.

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