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M.Tariq Aziz

Data Scientist • Data Analytics Professional • Data Analyst • Junior Machine Learning Engineer 📊📈

I am a highly skilled Data Scientist with over six years of experience in the field. Currently, I am working at Omdena as a Junior Machine Learning Engineer. I have a strong passion for using data to solve real-world problems, and I am always eager to engage in stimulating discussions and collaborate with others. Exploring new places, spending quality time with my loved ones, and enjoying a cup of coffee with a good book are some of the things that bring me joy in my free time. I firmly believe in the philosophy of "never stop learning," and I strive to live by this motto every day. I am confident in my analytical skills and expertise and am actively seeking challenging opportunities to contribute to business success.

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Experience

Omdena — Houston, TX

Data Scientist • 2023 — Present

  • Collaborated with a non-profit, boosting user engagement by 15%, and sales by 10%, while ensuring data quality and governance.
  • Meticulously analyzed 31M+ transactions and 10K images, effectively wrangled the data and curtailed errors by 20%.

    • Springboard — Houston, TX

    Data Science Fellow • Feb, 2023 — Jul 2023

  • Proficient in Python and SQL, with a strong background in exploratory data analysis, data visualization, hypothesis testing, and machine learning.
  • Completed over 600 hours of extensive data science curriculum and received one-on-one training from an established industry expert and mentor from Google. Demonstrated expertise through the completion of two in-depth projects.
  • Projects
    1. Text Classification and Sentiment Analysis of Covid-19 Twitter Data using NLP
    2. AirBnb NYC Price Prediction using Machine Learning

    Senor Enterprises Inc — Houston, TX

    Sr Data Analyst • 2019 — 2023

  • Evaluated, developed, and maintained financial reports to clearly communicate actual results, implemented more rigorous check and balance policies to avoid transaction mistakes.
  • Utilized advanced data analysis skills to visualize, mine, and manipulate 5-years database using Excel and Tableau resulting in a 10% increase in branch performance and revenue.

    • Robert Half Technology, Fremont, CA

    Jr Data Scientist • 2018 — 2019

  • Executed level-1 data examination and warranty maintenance, specializing in the diagnostic assessment of a wide array of systems, spanning servers, blades, and PCs.
  • Coordinated, oversaw, managed, and documented faults using the ticket system, ensuring prompt resolution of issues and timely completion of projects.

    • Chalmers University of Technology

    Data Scientist • 2015 — 2017

  • Researcher on GNSS geodetic stations at Onsala Space Observatory for monitoring weather effects on signal propagation. This involved raw data extraction, data mining, and statistical modeling.
  • Performed evaluation, testing, and algorithm development in MATLAB, published my findings in a detailed report and presented them in a seminar.

    • ZTE Corporation

    Market Data Analyst • 2013 — 2014

  • Researched and evaluated market trends, leveraging 3G and 4G data, to drive strategic decision-making at ZTE Corporation.
  • Collaborated with cross-functional teams to extract, interpret, and synthesize market insights, contributing to enhanced understanding and effective business strategies.

    • Siemens

    Market Data Analyst Intern •

  • Summer internship in the management department, handling data analysis, organization, and cleaning with Excel-VBA, ensuring accuracy and correctness.

    • Citibank

    Market Data Analyst Intern •

  • Technology department summer internship, providing financial data analysis and technical support on a daily basis, including software updates and patches guaranteeing the seamless functioning of the system.

    • Education

    Sofia University, CA

    Masters, Computer Science (Data Science, Machine Learning, AI) •

    Chalmers University of Technology, International

    Masters, Engineering (Computer Science, Physics) •

    Projects

    Developer • 2023

    This web application leverages machine learning to predict housing prices based on key features such as property size, number of bedrooms, and number of bathrooms. Built with Flask, a lightweight Python web framework, the dashboard offers an intuitive and user-friendly interface for users to input property details and receive accurate price predictions.

    Developer • 2023

    An end-to-end machine learning project about understanding the relationship between crime and weather in Houston, TX. A time series analysis of historical weather data patterns that influence criminal behavior followed by dashboard creation using the Gradio app.

    Developer • 2023

    Developed NLP-based machine learning models for Text Classification and Sentiment Analysis on Covid-19 Twitter data, uncovering valuable insights and driving informed decision-making.

    Developer • 2023

    Design and Implementation of a Supervised Machine Learning Model in Python on a Real-World Dataset from AirBnb, featuring a comprehensive Data Science Pipeline.

    Developer • 2023

    Created and implemented a machine learning-driven recommendation system for H&M products using a dataset of 32GB, incorporating images, to provide enhanced personalized product suggestions for customers.

    Snowflake cloud data warehouse integration with AWS (S3 bucket) - batch process

    Developer • 2023

    Implemented Snowflake integration with AWS S3, enabling seamless data access for batch processing. Streamlined file reading and ensured continuous data availability within the Snowflake environment. Orchestrated AWS roles and policies to guarantee robust authentication and seamless integration.

    Developer • 2023

    SQL project shows data modeling, using MySQL, including schema design, entity relationship diagram, data dictionary, data insertion, and SQL queries for a Human Resource management system.

    Publication •

    Statistical modeling of the unstructured raw data from GPS satellites using MATLAB for multiple years. Data modeling and processing, followed by different residual plots including trends and root mean square. In the end, the result was compared with independent data set models for validation purposes.

    Skills

    Programming

    Python (Scikit-learn, Pandas, NumPy, NLTK, PySpark, TensorFlow, Flask), SQL, Spark SQL, R, Java, MATLAB, HTML, CSS, Bash, Scala, Git, VBA, RPA (robot process automation)

    Data Visualization/Dashboarding

    Tableau, Power BI, ggplot2, Plotly, Matplotlib, Seaborn

    Database/Data warehouse

    PostgreSQL, Oracle SQL, MySQL, Snowflake, Azure Synapse Analytics

    Cloud

    AWS (S3, EC2, RDS), Azure (Data Factory, Data Lake, Databricks, Synapse Analytics, Key Vault, Active Directory)

    Diploma & Certifications

    Data Science Certification - Springboard

    Data Analyst with Python - Datacamp

    Data Analyst with SQL - Datacamp

    Data Scientist Professional - Datacamp

    Data Scientist with Python - Datacamp

    Masters in Computer Science - Sofia University