Javad Hooshmand

Data Analyst | Machine Learning Specialist | Additive Manufacturing Researcher

Portfolio
  • 🔍 Data analyst with a background in model development
  • 💻 Microsoft certified with two master's degrees
  • 📊 SQL, Power BI, Python, Excel
  • 🐕 Pet parent | 🏃 Runner | 🎧 Music lover
  • 📍 Regina, Saskatchewan, Canada

Data Projects

Software:

  • Python

  • Power BI

Skills:

  • Data Collection & Cleaning

  • Exploratory Data Analysis

  • Data Visualization

  • Interactive Dashboard

  • Geospatial Analysis

  • DAX

Air Quality Analysis

This project shows an analysis of global PM₂.₅ concentrations between 1990 and 2020 by countries and continents, exploring how these fine particulate matter levels correlate with temperature, humidity, and precipitation trends

Design Lattice

Predicting desired lattice structure by given force and compression to optimize required mechanical properties.

Software:

  • Python

  • Excel

  • nTop

  • Chitubox

Skills:

  • Exploratory Data Analysis

  • Artificial Neural Networks

  • Random Forest

  • Graphical User Interface

Software:

  • MS SQL Server

  • Python

  • Power BI

  • Excel

Skills:

  • KPI Analysis

  • Data Cleaning and Transformation

  • Exploratory Data Analysis

  • Data Modeling

  • Power Query and DAX

  • Analytic Hierarchy Process

  • Report and Interactive Dashboard

Campaigns Analysis

This project analyzes 6 KPIs using retail transaction data from Dunnhumby platform to evaluate and rank the effectiveness of marketing campaigns in boosting customer engagement and business performance.

3D Print Analytics

Used statistical modeling and response surface methodology to analyze FFF print data, developing predictive models and optimizing print parameters with a novel posterior-based method.

Software:

  • MATLAB

  • Minitab

  • Excel

  • Design Expert

  • Simplify3D

Skills:

  • Statistical modeling

  • Multi-variable data analysis

  • Experimental design

  • Regression and predictive modeling

  • Data transformation and normalization

  • Data cleaning and validation

  • Process optimization

  • Image-based data extraction

Software:

  • PostgreSQL

  • MS SQL Server

  • Power BI

  • Python

Skills:

  • Exploratory Data Analysis

  • Data Extraction and Manipulation

  • Hypothesis Testing

  • Aggregations, CTE, Window Functions, CASE Statements, Subqueries, and JOINs

  • Power Query and DAX

  • Data Visualization

  • Pandas, Seaborn and Numpy Libraries

DataCamp Projects

Data analysis projects in DataCamp by analyzing real-world datasets to derive meaningful insights and support data-driven decision-making.

HackerRank Challenges

Solved various medium and hard challenges on HackerRank to enhance my ability to write efficient SQL queries and handle complex datasets.

Software:

  • MS SQL Server

Skills:

  • Data Extraction and Manipulation,

  • Aggregations

  • CTE

  • Window Functions

  • CASE Statements

  • Subqueries

Certifications & Awards

Certifications
DP-900 Certification

Azure Data Fundamentals (DP-900)| December 2024

  • Understanding cloud data concepts
  • Relational and non-relational databases
  • Big data and analytics workloads
Engineer-in-Training (EIT), APEGS

Engineer-in-Training (EIT), APEGS| November 2024

  • Applied engineering principles to practical problems
  • Ensured compliance with industry standards
  • Gained hands-on experience in engineering design and analysis
PL-300 Certification

Power BI Data Analyst Associate (PL-300)| October 2024

  • Data modeling and DAX calculations
  • Building interactive dashboards
  • Power Query transformations
Data Analyst Associate (DataCamp)

Data Analyst Associate (DataCamp)| July 2024

  • Data management
  • Exploratory Data Analysis
  • Statistical Experimentation
  • Communication and Visualization
Computer Vision for Industrial Inspection (nvidia)

Computer Vision for Industrial Inspection (nvidia)| December 2023

  • Applied computer vision to improve industrial inspections
  • Developed skills in image processing for defect detection
  • Integrated machine learning models for automated inspections
Fundamentals of Deep Learning (nvidia)

Fundamentals of Deep Learning (nvidia)| November 2022

  • Learned deep learning fundamentals and architectures
  • Gained experience in building and training models
  • Applied deep learning to tasks like classification and regression

About me

I started as an industrial engineer specializing in 3D printing, using data to optimize mechanical properties and develop predictive models. Over time, my passion for data grew beyond engineering, leading me to gain hands-on experience in analytics across various industries.

  • - SQL & Data Extraction: Querying, transforming, and analyzing data efficiently.
  • - Power BI & Visualization: Building interactive dashboards with DAX & Power Query.
  • - Machine Learning: Applying ANN, Decision Trees, XGBoost & more.
  • - EDA & Data Cleaning: Preparing and interpreting data for insights.
  • - Model Deployment: Implementing machine learning models with user-friendly GUI.

I thrive on turning raw data into meaningful insights. Let’s connect and create something impactful!