Hey there! I'm Riza Zainudin.

Data's my jam, but I'm not just about crunching numbers. I'm a Data Analytics & Automation Specialist with a passion for turning insights into action.

Why automation? Because let's face it, data is great, but putting it to work is even better.

I started as a Junior Data Analyst, and quickly saw how automation could streamline processes and free up time for the good stuff.

Employee Insights

Power BI

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Employee Insights and Analytics Dashboard

Power BI

This dashboard unlocks the power of the workforce data. This interactive platform provides a centralized hub for key employee metrics, presented in clear and insightful visualizations. Explore demographics, compensation, and tenure across your organization. Gain insights into global talent distribution, departmental structure, salary trends, and employee retention. This empowers data-driven decisions to optimize your talent management strategy and foster a thriving work environment.

For example, identify departments with high turnover rates and investigate potential causes. Analyze salary distribution to ensure fairness and competitiveness. Recognize long-tenured employees and implement programs to boost engagement and retention. With this dashboard, we can proactively manage your workforce and unlock its full potential.
Sales Performance

Power BI

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Sales Performance

Power BI



Diving into the dynamic world of B2B sales pipelines! 🚀 I analysed data from a fictional company specializing in computer hardware sales, and the findings are illuminating, sourced from Maven Analytics Playground.

🔍 Dataset Overview:
I've been exploring a rich dataset encompassing various facets of the sales process:

• Accounts: Detailed information on client companies, including industry sector, revenue, and location.
• Products: Comprehensive data on the company's product lineup, including pricing and series details.
• Sales Teams: Insights into the sales force, including individual agents, their managers, and regional offices.
• Sales Opportunities: Crucial details on each potential deal, from engagement stages to closure outcomes.

💡 Key Insights:

Overall Performance KPIs: Empowering sales managers with real-time metrics to gauge success:
• Total Value Close: Track revenue generated by the sales team for the current quarter, with a quick glance at previous quarter figures.
• Number of Deals Won: Monitor the count of successful deals, providing a pulse on sales momentum.
• Win Rate: Calculate the percentage of deals won, offering insights into sales efficiency and effectiveness.

Quarterly Trend Analysis: Uncover patterns and fluctuations in sales performance with our intuitive bar and line chart:
• Explore the quarter-over-quarter trend of Deals Won Count and Value, identifying growth opportunities and areas for improvement.

Top Sales Agents: Recognize and reward top performers with targeted insights:
• Bar chart showcasing the top 5 sales agents by number of deals won, distinguishing between wins and losses for enhanced visibility.
• Another bar chart highlighting the top 5 sales agents by deal closure rate, spotlighting efficiency and effectiveness in closing deals.

Product Performance Heatmap: Visualize the performance of various products with our dynamic heat map:
• Gain actionable insights into product performance based on Deals Won Count, facilitating informed decisions on resource allocation and product strategy.

Airline Passenger Satisfaction

Power BI

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Airline Passenger Satisfaction

Power BI

Explore the fascinating world of airline passenger satisfaction through this interactive Power BI dashboard. Derived from a comprehensive dataset of over 120,000 airline passengers, sourced from the Maven Data Playground, this dashboard offers a deep dive into the factors influencing customer satisfaction.

Public Transport Ridership

Power BI

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Malaysian Public Transport Ridership

Power BI

This data-driven dashboard empowers you with up-to-the-minute insights into Malaysia's public transport system. The information is sourced directly from the official government data catalog, ensuring the highest level of data accuracy and reliability. Furthermore, the government's dedication to regular data updates fuels this dashboard, guaranteeing you're always working with the most recent and relevant information


This translates to a clear picture of public transport ridership trends across the entire nation. With this dashboard at your fingertips, you can make informed decisions, identify areas for improvement, and ultimately contribute to a more efficient and user-friendly public transport system for all Malaysians.
LEGO Theme Analysis

Power BI

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LEGO Theme Analysis

Power BI

The LEGO Insights Dashboard takes you on a captivating journey through the world of LEGO, fueled by data visualization and analysis. This comprehensive tool caters to LEGO enthusiasts, collectors, and even analysts.


The Core Summary is your starting point, offering a bird's-eye view of current LEGO trends. Here you'll find key metrics, top-performing sets, and overall trends presented in a clear and concise way. Want to explore further? The Theme Analysis page allows you to delve deeper, uncovering fascinating relationships between themes, pieces, and retail prices.

But that's not all! The Age and Price Insights section sheds light on patterns in age recommendations and how they influence pricing dynamics. With interactive charts, tables, and scatter plots, the LEGO Insights Dashboard empowers you to explore and understand LEGO like never before.

Airbnb - Vacation Rental Market Analysis

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This dashboard dives into a massive dataset of over 250,000 Airbnb listings across 10 popular travel destinations, revealing valuable insights into vacation rental trends. The data spans from 2014 to the present, offering a comprehensive picture of visitor behavior and rental characteristics.

Key findings include a pre-pandemic boom in visitor numbers, with a significant drop in early 2020 due to COVID-19. Interestingly, Cape Town boasts Airbnbs with the highest average scores for value, cleanliness, and communication. Paris and Rome stand out as top destinations, attracting the most visitors. The analysis also reveals that "entire place" listings dominate the market, accounting for over half of all rentals with an average price of $116 per night. Additionally, Paris has secured the top spot in Airbnb market share, capturing a significant 28%.

Disney Movies Analysis (1937-2016)

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This captivating Tableau dashboard unlocks a treasure trove of insights from the Walt Disney Company's animated film library. It delves into a vast collection of 579 movies, spanning the years 1937 to 2016, offering a fascinating journey through Disney's animation legacy.

One of the dashboard's key highlights is the ability to identify the most profitable Disney movie, taking inflation into account. This reveals the true champions of the box office, adjusted for the changing economic landscape. Step back in time and see if Snow White and the Seven Dwarfs (1937) holds its crown as the king (or queen) of Disney profits, or if another beloved classic has emerged as the true titan of financial success.

But that's just the tip of the iceberg! This comprehensive dashboard likely holds a wealth of other fascinating data points waiting to be explored. You might uncover trends in animation styles, box office performance over time, or thematic preferences across different eras. With this interactive tool at your fingertips, you can become your own Disney movie historian, uncovering the secrets and stories behind the magic.

Driver-Partner Engagement

Focusing on driver-partner engagement, this project analyzed social media data from a ride-hailing company. Python was used to meticulously cleanse the data for accuracy. The resulting clean data was then transformed into insightful visualizations using Tableau. These visualizations helped identify key trends in driver-partner engagement, empowering data-driven recommendations to improve their experience.
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Fashion E-Commerce Inventories

This project delves into fashion e-commerce inventory management using Python. I analyzed data spanning January 2019 to March 2021, focusing on stock levels and trends. By leveraging Python's programming tools, we were able to gain valuable insights into inventory patterns. The resulting analysis will be presented in a report for both the Production and Marketing Managers, empowering them to make data-driven decisions regarding production, stock allocation, and potential marketing campaigns.
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COVID-19 Cases Trend

This project analyzed COVID-19 case trends using data retrieved from ourworldindata.org on November 24th, 2021. Employing the Pandas library, a powerful Python data analysis tool, I explored patterns and trends within the dataset. The insights gained could inform public health strategies or further research related to the pandemic's trajectory.
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Harry Potter Movies Scripts

To showcase my SQL skills, I tackled the Maven Magic Challenge , analyzing a rich dataset brimming with Harry Potter magic. Filled with movie budgets, box office revenue, details about characters, spells used, and over 7,000 lines of dialogue from all eight films, this exploration allowed me to flex my SQL muscles and potentially uncover hidden insights into the beloved wizarding world.
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