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Achievement: Pull Sharkx3Achievement: QuickdrawAchievement: YOLOAchievement: Arctic Code Vault Contributor

Achievements

Achievement: Pull Sharkx3Achievement: QuickdrawAchievement: YOLOAchievement: Arctic Code Vault Contributor

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nooranalytics/README.md

Hi I'm a data analyst!

Let's Collaborate!

While primarily dedicated to my passion projects at present, I remain receptive to engaging in new roles that align with my skills and interests. I am always enthusiastic about exploring unique initiatives and collaborations in the data analysis domain.

Reach out to me here on through my email or LinkedIn.

  • 🌍  I'm based in Berlin * ✉️  You can contact me at [email protected] * 🤝  I'm open to collaborating on interesting projects*

Dynamic Data Analyst with 5+ years of experience in data management and business intelligence, specializing in driving data-powered decision-making to boost business development. Passionate about integrating analytical methodologies, statistical analysis, and data management practices to present actionable insights for critical business tasks.

Experience

  • 5+ years of experience in Data Analysis encompassing Data Wrangling, Data Exploration, and Data Visualization.
  • Proficiency in Full Data Stack libraries including Dash, Fast.ai, SciPy, Scikit-learn, NLTK, NumPy, and Pandas.
  • Worked for a variety of industry clients and have experience in sectors such as media and recruitment.

Skills

  • Extensive expertise in Functional and Procedural Programming styles with Python, and SQL.
  • Understanding of SQL and NoSQL databases, especially MySQL and DynamoDB.
  • Knowledge of RESTful APIs for efficient data retrieval and manipulation.
  • Expertise in Data Visualization tools like Plotly, Seaborn, and Tableau. Also proficient in Google Analytics Suite (Gsheets, Doc, Gslides) to deliver comprehensive reporting and documentation.
  • Equipped with a strong understanding of business processes and improvements, consistently striving to provide data-driven solutions to challenging problems.

Technical Proficiencies

  • Platforms: IBM Watson Studio, Amazon Web Services (S3, Lamba, QuickSight, Athena, Glue, Dynamo), Anaconda, Qubole
  • Technologies: Watson Assistant, GitHub, IDEs, Jupyter Notebook, Colaboratory, Serverless
  • Databases: MySQL, Dynamo
  • Languages: Python, SQL
  • Interfaces: RESTful API
  • Frameworks & Libraries: Dash, Fast.ai, SciPy, Scikit-learn, NLTK, NumPy, Pandas
  • Software & Tools: GIT Version Control, Plotly, Seaborn, Tableau, Google Analytics, Suite (Gsheets, GDoc, Gslides)

Skills

Git JavaScript Python HTML5 CSS3 Bootstrap MySQL MongoDB PostgreSQL Figma

Socials

Tableau Dasboards

https://public.tableau.com/app/profile/nour5844

Pinned Loading

  1. customer-analysis customer-analysis Public

    A python based project that aims to analyze the customer base of a Meditation App offering paid subscriptions and in-app purchases, with the goal of maintaining a high paid conversion rate.

    Jupyter Notebook

  2. kpmg_internship kpmg_internship Public

    This is my python submission to the kpmg internship which focuses to data analysis, model development and a visualisation submission.

    Jupyter Notebook

  3. covid_exploration_sql covid_exploration_sql Public

    This repository contains exploratory analysis of COVID-19 data using SQL queries. The dataset used for this analysis is sourced from ourworldindata.org. It also contains the dashboard associated wi…

    Jupyter Notebook

  4. bike_sales_excel bike_sales_excel Public

    This project analyzes bike sales data in Excel using techniques such as table merging, duplicate removal, data normalization, pivot tables, and dashboard visualization. The result is an interactive…

  5. game_ab_test game_ab_test Public

    Explore the impact of gate placement in Cookie Cats game on player retention through a detailed A/B test analysis. This is done in python.

    Jupyter Notebook

  6. a_b_n_tests a_b_n_tests Public

    This repository holds an exploratory data analysis in python, that involves A/B/N testing. The aim is to assess the performance of three different versions (A, B, and C) of a checkout page to deter…

    Jupyter Notebook