armahdavi Goto Github PK

followers: 25.0 following: 33.0 repos: 12.0 gists: 0.0

Name: Alireza

Type: User

Company: UofT, EXP, Scale AI, TELUS International AI Inc.,

Bio: A passionate Data Scientist & ML Engineer. 10+ years of Python programming experience. Ph.D., from UofT (2020). Looking for new DS/ML challenges/roles.

Location: Toronto, Ontario

Blog: https://civmin.utoronto.ca/alireza-mahdavi/

Hello World! 👋🌐

This is Alireza. I am passionate about Data Science, Machine Learning, Deep Learning, and Large Language Model (LLM) Prompt Engineering.

Overwhelmed under a pile of mixed and complex data and endless information generated from day to day?!🤯 Worries not🙂. I can help✨.

I will navigate you safely and peacefully through the rough sea of mixed and complex data to the right destination where you can see trends, capture anomalies, detect and prevent loss, and optimize benefits 🌊 🚢.

I will help you streamline operations, optimize strategies, accelerate goal achievement, and enhance client satisfaction by uncovering actionable insights from your work, business, client, and contractor data 💼🏢💰.

As a seasoned Data Scientist with close to a decade of experience in managing and optimizing diverse datasets across academic, engineering, finance, and business domains, I'll be your next friend and colleague for life, so let's collaborate 🎓🔬🛠️⚙️📈💰📊💻📝🤝.

🔭 I’m currently working on LLM Prompt Engineering to train and tune LLM (with Scale AI)🤖👾
🌱 I’m currently learning the architecture of an LLM leading to text generation (with DeepLearning.AI)📐👷‍♂️
👯 I’m looking to collaborate on work automation, budget estimation, Stock Market prediction, and business intelligence📈🗓️💰⚙️
🤔 I’m looking for help with upgrading GPU multi-core parallelization for cuDF and PySpark💦🌈
💬 Ask me about any data science, ML, DL, and Python relevant topic💻
📫 How to reach me: [email protected], [email protected]📧
😄 Pronouns: He/Him 🤵‍♂️👨🙋‍♂️
⚡ Fun fact: I hated and was very bad at programming until I started my Ph.D., 🙈😂

Skills and Experience

Programming & Scripting Languages

Python, SQL, Visual Basics for Applications (VBA), Stata, R

Data Science, Machine Learning, & Deep Learning

Pandas, Numpy, CuDF, Scikit-Learn, XGboost, TensorFlow, OpenCV, Polars

Data Plotting & Visualization

Matplotlib, Seaborn, Plotly, Pandas, Bar Chart Race, Bokeh

Text Mining & Natural Language Processing (NLP)

Regex, Natural Language Toolkit (nltk), SpaCy, TextBlob

Statistical Analysis

Scipy, StatsModel

Machine Learning Operations (MLOps)

Docker, Kubernetes, Flask

Cloud

GCP, AWS, DataBricks

Big Data

PySpark, Spark SQL, Polars, CuDF

RDBMS

MS SQL Server

Climate Change and Envrironment

MeteoStat, PyThermalComfort

Alireza's Projects

ai-and-breast-cancer-tumor-detection---how-ml-algorithm-helps-maximize-accuracy-and-recall

analytics-data-pipelines-statistics-ml-plotting---dust-extraction-hvac-filters---phase-2

PhD Technical Paper 1 - Phase 2 - Mahdavi & Siegel (2020) (Aerosol Science & Technology; AS&T) - Sharing all the data pipelines, processing codes, descriptive statistics, statistical modellings, and plotting/visualizations - Project Miestone: 2017 - 2020 - Full-length article is available

analytics-data-pipelines-statistics-plotting---dust-extraction-hvac-filters---phase-1

PhD Technical Paper 1 - Phase 1 - Mahdavi & Siegel (2020) (Aerosol Science & Technology; AS&T) - Sharing all the data pipelines, processing codes, descriptive statistics, statistical modellings, and plotting/visualizations - Project Miestone: 2017 - 2020 - Full-length article is available

armahdavi

Github is fun ❤️

big_data_spark_building_iot_sensor_ieq_analytics_ml_thermal_comfort_murb_retrofit_social_housing

This repository summarizes my analytics, big data, and ML code work from a Multi-Unit Residential Building (MURB) retrofit project run back during my Ph.D.,

code-data-analytics-pipelines-statistics-ml-pm-psd_residential-qff

Sharing all the data pipelines and processing codes, statistical modellings, descriptive statistics, plot visualizations, and machine learning from Mahdavi & Siegel (2021) (Indoor Air) Project Miestone: 2017 - 2020 Full-length article: https://onlinelibrary.wiley.com/doi/abs/10.1111/ina.12782

code-data-processing-statistics-plotting-airborne-sampling-of-pm

All codes for the data pipelines processing, statistical modellings, descriptive statistics and plot visualizations from airborne phase of Mahdavi et al. (2021) (Environmental Pollution) Project Miestone: 2018 - 2021

how-long-your-hvac-system-operates-and-how-much-it-bills-you----ai-ml-can-help.

ibm-statistics-codes

This Repository includes all the codes in Statistics that I have developed from my previous projects

ml-xgboost-regressor---rapid-filter-forensics_rff-dust-recovery-from-hvac-filter

ML modelling of dust recovery from HVAC filters: Linear Regression vs. XGBoost - Project Milestone: 2017-2020.

qff-evalation_code-data-processing-statistics-plotting

Data pipelines and processing codes, statistical modellings, descriptive statistics, and plot visualizations for QFF evaluation phase of for Mahdavi et al. (2021) (Environmental Pollution) Project Miestone: 2018 - 2021 Full-length article: https://www.sciencedirect.com/science/article/abs/pii/S0269749120370779

unsupervised-clustering-ml---pm_source_detection---how-extensive-do-you-cook-or-smoke----ai-can-help

Indoor PM2.5 source detection algorithm using unsupervised clustering ML method