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Schedule Interview NowAt Softaims, I’ve found a workplace that thrives on collaboration and purposeful creation. The work we do here is about more than technology—it’s about transforming ideas into results that matter. Every project brings a mix of challenges and opportunities, and I approach them with a mindset of continuous learning and improvement. My philosophy centers around three principles: clarity, sustainability, and impact. Clarity means designing systems that are understandable, adaptable, and easy to maintain. Sustainability is about building with the future in mind, ensuring that the work we do today can evolve gracefully over time. And impact means creating something that genuinely improves how people work, connect, or experience the world. One of the most rewarding aspects of working at Softaims is the diversity of thought that every team member brings. We share insights, question assumptions, and push each other to think differently. It’s this culture of curiosity and openness that drives the quality of what we produce. Every solution we deliver is a reflection of that shared dedication. I’m proud to contribute to projects that not only meet client expectations but also exceed them through thoughtful execution and attention to detail. As I continue to grow in this journey, I remain focused on delivering meaningful outcomes that align technology with purpose.
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Objective: Led the development of a sophisticated tool to simplify the school selection process in Southern California and to offer a detailed view of educational institutions for informed decision-making. Outcome: Developed an interactive web dashboard providing a data-driven overview of Southern California schools, enabling informed educational choices.
Helldivers 2 has captured the attention of both indie and mainstream gamers since its release. My project centered around developing a robust analytics tool designed to assist developers in enhancing the gaming experience for PC players on Steam. Objective: The primary objective was to create a tool that helps identify gameplay issues reported by PC users on Steam and aims to boost game performance by identifying issues early.
1) The Goal In this project, my team and I aimed to analyze Instagram data to uncover valuable insights that would drive our social media strategy for the Financial Management Association (FMA) We wanted to understand our followers' preferences, engagement trends, and the effectiveness of our content strategy. 2) My Contribution ➤ Data Analysis & Visualization: Using Tableau, I addressed key questions related to popular topics, engagement trends, and optimal posting days. I also flexed my designer side, creating visually appealing dashboards.
1) The Goal In a data competition organized by the Southern California R Users Group at the University of California, Irvine, my team, Pythons 'R' Us, and I were challenged to transform raw Yelp reviews data into actionable insights. We aimed to enhance user engagement and provide a more accurate representation of users' experiences at specific locations. 2) My Contribution ➤ Data Engineering: I transformed Yelp reviews data from JSON format into a structured dataframe using Python, applying advanced data engineering techniques for cleaning and enhancing processing efficiency. ➤ Sentiment Analysis: Employing Natural Language Processing (NLP) techniques with Python libraries like spaCy, TextBlob, and NLTK, I achieved a remarkable 90% prediction accuracy rate in sentiment analysis. ➤ Algorithm Development: I engineered a sophisticated ranking algorithm that encapsulated user sentiment and experiences over time, factoring in review count, star rating, and sentiment score. ➤ Visualization: I conceived and implemented a user-focused Tableau dashboard for streamlined decision-making, enhancing user engagement by 65%. This interactive dashboard ensured relevant and readable data presentation. 3) Project's Success Our innovative approach led us to win the 'Best Visualization' award among 100+ Master of Data Science and Business Analytics students. We developed an algorithm that enhanced Yelp's current approach, using a weighted ranking system, and created an engaging, visually appealing, and informative tool for end-users.
1) The Goal At the UCI Embark Datathon, my team and I were tasked with analyzing Montreal's Crime Data, consisting of over 240,000 rows. Our goal was to uncover criminal activity patterns, identify areas for law enforcement improvement, and provide actionable insights for city planning. 2) My Contribution ➤ Data Engineering & Preprocessing: I took charge of data preprocessing and cleaning, handling inconsistencies and missing values to ensure data quality. I used SQL and Python to manage a large dataset, focusing on reliability and accuracy. ➤ Geocoding & Analytics Engineering: I utilized a geocoding API to enrich location data, demonstrating adaptability with API rate limits and optimizing code for efficiency. ➤ Collaboration & Communication: I worked closely with data analysts to create interactive Tableau dashboards, visualizing our findings. My ability to communicate data insights to both technical and non-technical stakeholders was key to our success. ➤ Real-World Impact: My work deepened my understanding of data-driven solutions' potential impact on real-world problems, such as law enforcement and city planning. 3) Project's Success Our hard work paid off as we won the "Best Presentation" award at UC Irvine's Embark Datathon. This experience not only honed my technical skills but also showcased my ability to collaborate effectively and deliver results under pressure.
Bachelor of Arts (BA) in Economics