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Schedule Interview NowBeing part of Softaims has allowed me to see the full spectrum of what technology can achieve when guided by empathy, discipline, and creativity. Each assignment, regardless of size, represents an opportunity to bring clarity to complexity and to turn ambitious ideas into tangible outcomes. I’ve come to realize that successful development isn’t just about writing code—it’s about listening carefully, understanding deeply, and designing thoughtfully. Every client brings unique challenges, and I make it a priority to align my work with their goals, ensuring that the end result is both effective and lasting. Softaims fosters an environment where collaboration is not optional—it’s essential. The collective expertise within the team pushes me to think beyond conventional boundaries, to question, refine, and innovate. I believe that this process of shared learning and experimentation is what makes our solutions resilient and impactful. My ultimate goal is to build technology that feels effortless to use yet powerful in function. I approach every task with the mindset that small details can make a big difference. Through continuous refinement and dedication, I aim to contribute to the kind of work that not only serves today’s needs but anticipates tomorrow’s possibilities.
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The property owner faced declining occupancy rates. I developed predictive models for future pricing and occupancy, conducted competitive analysis, and optimized Average Daily Rates (ADR). Additionally, I assessed and adjusted minimum stay requirements and analyzed market trends to provide strategic recommendations. Using PriceLabs, I delivered data-driven solutions that improved occupancy and revenue.
The analysis conducted on the mobile game's player retention data provides several key insights into player behavior and engagement. Here's a breakdown of the analysis, its findings, and the potential impact on your game's strategy: Description: 1. Average Retention Rate by Return Day with Standard Deviation: - Method: Calculated the average retention rate for each day since a player started playing the game and included the standard deviation to show variability. - Insight: Shows how long players typically continue to play after their start date and the variability in this behavior. 2. Heatmap of Average Retention Rate by Player Start Date: - Method: A heatmap showing the average retention rate across different player start dates and return days. - Insight: Helps identify if certain cohorts (based on start date) have different retention patterns, which can indicate the effect of specific events or updates. 3. Cumulative Drop in Retention Rate by Return Day: - Method: Examined the cumulative drop in retention rate over time. - Insight: Highlights the long-term impact on retention, identifying critical periods where player retention significantly declines. 4. Percentage Drop in User Count by Return Day: - Method: Analyzed the average percentage drop in user count relative to the initial count for each return day. - Insight: Provides a relative measure of user loss, helping to understand which days are most critical for player drop-offs. Learning from the Analysis: 1. Player Engagement Patterns: Understanding when players are most likely to stop playing helps in identifying potential issues or turning points in the game. 2. Impact of Game Updates or Marketing: Correlating retention rates with game updates, marketing campaigns, or external events can reveal their effectiveness. 3. Retention Weak Points: Identifying specific days with high drop-offs can help target improvements in game design or player incentives. Potential Impact: 1. Enhanced Player Experience: By addressing the days with significant retention drop-offs, game developers can tweak the game to enhance player experience and engagement. 2. Targeted Marketing and Updates: Understanding how different cohorts respond to the game can guide more effective marketing strategies and game updates. 3. Long-term Player Value: Improving retention rates, especially in the early stages after player acquisition, can significantly increase the lifetime value of players. In summary, this analysis provides a comprehensive view of player retention in the mobile game, highlighting areas for potential improvement and guiding strategies to enhance player engagement and retention.
Project Description: Developed an interactive sales performance dashboard to monitor and analyze sales data using open source data. This dashboard provides a multifaceted view of the company's sales efficiency, including quarterly and annual sales targets, distribution across regions, and performance by product type. Key Features: 1. Visualization of annual sales quantity and amount against targets, highlighting achievement rates. 2. Breakdown of annual costs and gross profit to assess financial health. 3. Detailed analysis of sales by store region and product type, revealing trends and opportunities. 4. Comparative year-over-year sales data to track growth and performance consistency. 5. Metrics on new customer acquisition and store expansion to measure market reach. Impact: The dashboard's insights enable strategic decision-making, optimize sales efforts, and identify areas for expansion and improvement. Its design facilitates a quick understanding of complex data, making it a valuable tool for the sales and marketing teams.
Project Overview: Designed a comprehensive dashboard to track and analyze the efficiency and effectiveness of a website's marketing campaign using Tableau. The dashboard focuses on the critical interplay between cost, visits, revenue, and ROI, providing actionable insights for optimizing marketing strategies. Key Features: 1. Initial 3-Day ROI vs. Total Profitability: Illustrates the short-term versus long-term financial impact of the campaign. 2. Campaign Flow Cost vs. Visits: Compares marketing spend against website traffic to gauge cost-effectiveness. 3. Campaign Flow Visit vs. Revenue: Correlates the number of visits to revenue, highlighting the campaign's conversion effectiveness. 4. Campaign Flow Visits: Depicts the distribution of profitable and non-profitable visits against ROI categories. Impact: This dashboard was instrumental in reallocating marketing budgets to the most profitable channels, enhancing campaign targeting, and improving overall campaign profitability. It provided the marketing team with a clear understanding of where to invest for maximum return.
This project aimed to create an analytical dashboard to monitor and understand player churn for the mobile game. By leveraging player data, the dashboard provides insights into player behavior, identifies key factors contributing to churn, and aids in strategizing effective retention methods. Features: 1. Churn Rate Analysis: Tracks churn rate variations based on players' last activities and duration since installation. 2. Player Engagement Metrics: Offers insights into session counts and durations among churned users, highlighting engagement patterns. 3. Level-Specific Churn Data: Analyzes churn rate across different player levels, enabling targeted retention strategies. Impact: The dashboard serves as a crucial tool for the game's development team, assisting in making informed decisions to enhance player engagement and reduce churn. It provides a clear visualization of key metrics, thus facilitating effective player retention strategies.
in Data Science
2019-01-01-2020-01-01
Master of Business Administration (MBA) in Business Administration
2017-01-01-2018-01-01
Bachelor of Science (BS) in Architecture
2002-01-01-2010-01-01