mariyajoseph24,Mariya Joseph,github

Hi there 👋 Introducing myself,

I'm Mariya Joseph, a passionate Data Analyst with an array of skills in SQL, MS Excel, Python, Power BI, Tableau, and R.

SQL : Proficient in querying and manipulating data with SQL.
Python : Utilizes Python for data wrangling and advanced analytics.
Excel : Generates reports and performs data analysis using MS Excel.
Tableau and Power BI : Develops interactive dashboards using Tableau and Power BI.
R Explorer: Setting foot on a data exploration journey with basic knowledge in R for statistical analysis.

⚙️Skills

Language: SQL, Python
Database: PostgreSQL, MySQL
Visualization: Power BI, Tableau
Spreadsheet: MS Excel

🖇️Projects

Check out my Project Portfolio: My Projects

🕸️Let's Connect

Linkedln | Mariya Joseph

Mariya Joseph's Projects

8_week_sql_challenge

"#8WeekSQLChallenge : Solutions for a thrilling project that offers weekly SQL case studies! Engaged in real-world data analysis with interactive challenges."

amazon_sales_india_tableau_dashboard

"Amazon Sales India Tableau Dashboard" project dives deep into Amazon's sales data, offering detailed insights into SKU codes, designs, stock, categories, sizes, colors, and more. This dashboard is a valuable tool for unraveling the complexities of Amazon's operations in India and making data-driven decisions to maximize profitability.

netflix_powerbi_dashboard

"Netflix Power BI Dashboard" delves deep into this ever-expanding universe of entertainment, providing valuable insights and illuminating patterns that can steer content strategies and viewer engagement.

portfolio

My Portfolio is a static website. (trial)

portfolio_mariya_joseph

Welcome to my GitHub project repository, where I have meticulously curated a collection of my data-related endeavors. Within these digital pages, you'll find a comprehensive overview of my projects, showcasing my skills and experiences in the realm of data analysis.

spotify_data_analysis_python_project

The Spotify Data Analysis Project showcases data's role in diverse fields, using Python and libraries like Pandas,Numpy,Seaborn and Matplotlib, within the Jupyter Notebook environment. It explores music-related datasets, highlighting data's influence on decisions, research, and prediction, while honing technical skills and industry insights.

sugarfit_google_play_store_review_analysis_and_power_bi_reporting

"Utilized Python with Pandas, NumPy, and TensorFlow for data scraping and sentiment analysis in Microsoft Azure Data Studio. Employed MS Excel for data cleaning and exploration, with analysis done in PostgreSQL. Utilized Microsoft Power BI for visualization, deriving actionable insights."

superstore_powerbi_dashboard

"Superstore Power BI Dashboard" project is dedicated to unraveling the secrets hidden within the Superstore's data treasure trove, offering insights that will guide the organization towards targeted growth, enhanced profitability, and superior decision-making.

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