Introduction

This website portfolio showcases my journey through the final year of my Business Studies program at Dublin City University, particularly highlighting my experiences in the Professional Business Analytics module. Within these pages, you'll find a comprehensive collection of both individual and collaborative projects I've had the privilege to undertake, detailed in the "Portfolio" section. Beyond the academic endeavors, this e-portfolio offers a glimpse into my professional persona, including insights about me, avenues to get in touch, links to relevant media, and thoughtful blogs on various aspects of business analytics. Discover more about the module and its impact on my professional development on DCU's website !

About Me

                      Description of the image

I am a dedicated and driven student specializing in Data Analytics, currently pursuing a Bachelor of Business Studies with a concentration on various different platforms, tools and skills at Dublin City University. My academic journey has been complemented by hands-on experience in various analytical roles, including a pivotal position as a Fraud Analyst. I honed my skills in data manipulation and analysis using advanced tools such as Python, SQL, and Power BI throughout various modules in college such as Professional Business Analytics Portfolio, Data Mining & Predictive Analytics and Workflow and Data Management. My career ambition is to harness my analytical acumen and technical prowess to significantly influence business strategies and operational efficiency in a leading-edge corporate setting. With a strong commitment to professional growth and a passion for leveraging data to solve complex business challenges, I aim to continuously expand my skill set and knowledge base through ongoing education and real-world applications. I envision myself contributing to and leading projects that utilise big data to drive innovation, optimise processes, and improve decision-making. My ultimate career objective is to ascend to a leadership role within the technology and analytics sector, where I can shape industry standards and practices while mentoring the next generation of data scientists and analysts. This trajectory is not only a professional goal but also a personal commitment to excel in a field that combines my interests in technology, business, and problem-solving. By aligning with organisations that value innovation and data-driven decision making, I strive to make a meaningful impact on the business landscape and achieve excellence in my future endeavors.

Where I am from

I grew up and live in Dublin.

The area has multiple forms of public transport, making the city centre easily accessible for employment.

Most of my close relatives live within the same area and my sporting club and schools I attended are within the vincity.

I thoroughly enjoyed growing up in my area and it is something I am forever thankful for and will look back on with fond memories

Education

I attended Ardscoil Rís on Griffith Avenue from 2014 - 2020 where I completed the Leaving Certificate. My subjects were:

  • Maths
  • Irish
  • English
  • Accounting
  • Chemistry
  • Business
  • Geography


    • I currently attend Dublin City University on Collins Avenue where I am in the Final Year of Business Studies, specializing in the new Data Analytics stream.

    Achievements

    Achieved 532 points in the Leaving Certificate.

    Passed driving test in 2019.

    Certified in Microsoft Excel & Word in 2021

    Represented Dublin GAA at multiple age groups

    Passed driving test in 2019.

    Work Experience

    Customer Advisor 01/2021 - 09/2021
    Bank of Ireland | IFSC Branch

    Floor Operator 10/2021 - 12/2021
    The Paddy Box | Ballymun Enterprise Centre, D11 CVY6

    Fraud Analyst 06/2022 - PRESENT
    Bank of Ireland | 40 Mespil Road D04 C2N4

    Portfolio

    Project 1 - Flights Simulation Model

    The data embedded in the same worksheet of the project was leveraged to generate informative chart visuals by simulating various potential scenarios related to missing flights.

    Project 2 - Report on Covid-19

    This powerful software tool was used to create various illustrations based on COVID-19 data, providing viewers with insights into the factors that influence the virus.

    Project 3 - EPL Shooting Stats

    Fascinated by sports, particularly soccer, I delved into an in-depth analysis of a dataset centered around English Premier League shooting statistics, employing Python for the task.

    Project 4 - SQL Mock Gym Database

    A simlple but every effective learing prject in relation to creating a Database for a gym - this was undertaken when preparing for an assesment centre for a new role.

    Project 5 - Power BI Report on Data Jobs Sector

    As a Group, we developed a Power BI Report on the Data Jobs sector. We used this transformative tool to gain ineteresting visuals and figuers back from the Data

    Project 6 - Report on Supervised Learning for Demand Forecasting

    As a group, we collaborated on a report focused on supervised learning techniques for demand forecasting, pooling our insights and findings to produce a comprehensive analysis.

    Media

    Welcome to the Media section of my portfolio website, designed to showcase a diverse range of content that reflects interesting audio, video and images based on my interests in Business Analytics !

    Audio

    1. "Data Skeptic" Podcast

      This podcast offers a diverse range of topics covering statistics, data science, machine learning, and artificial intelligence in business analytics. Each episode often delves into practical aspects of data analytics, discussing both theory and case studies, which can be immensely beneficial for anyone looking to deepen their understanding of business analytics.



    2. Not So StDev. Podcast

      This podcast, hosted by Hilary Parker and Roger D. Peng, focuses on the latest trends in statistics and data science and how they can be applied in a business context. It's particularly relevant for professionals interested in the practical use of analytics in decision-making processes.


    3. Digital Analytics Power Hour

      This podcast provides deep dives into the world of digital analytics, with discussions on data analysis, digital marketing, and business intelligence. It's particularly valuable for business analysts who are involved in digital and web analytics.


    Images

    1. Data Value Chain

      The "Data Value Chain" visualises how data progresses from collection to impacting change, emphasizing analysis, accessibility, and application. It highlights the importance of feedback for improvement and identifies challenges like resource limitations and the need for political support. The ultimate aim is to enhance data-driven decision-making and policy development..


    2. Basic predictive Model

      The image shows a simplified workflow of a machine learning process. It starts with labeled observations, which are divided into a training set and a test set. The training set is used by a machine learning algorithm to create a prediction model. This model is then tested using the test set to evaluate its performance, with the results summarised in a statistical report. The process involves iterative improvement of the model based on its accuracy and the stats provided. .


    3. Supervised V Unsupervised

      The image illustrates two main types of machine learning: supervised and unsupervised learning. In supervised learning, each data point in the training set is labeled with the correct answer, and the model learns to predict these labels by determining a decision boundary. Once trained, it can apply this knowledge to new, unseen data. Unsupervised learning, in contrast, deals with unlabeled data. The model looks for patterns and structures within the data, such as clustering similar data points together. The resulting model can then assign new data points to these discovered clusters without prior knowledge of any labels.


    Videos

    1. GitHub Intro

      While this topic might not directly relate to business analytics, the skills demonstrated can be indirectly relevant. For business analysts, creating a digital portfolio can showcase their projects, data visualisations, and analytical skills. It also demonstrates proficiency in using modern digital tools, which is valuable for professionals looking to present their work effectively in the digital space. This could be particularly useful for freelance business analysts or those seeking employment who need to showcase their abilities to potential clients or employers.


    2. Python Tutorial

      The video "Python for Beginners - Learn Python in 1 Hour" is highly relevant to business analytics as Python is one of the key programming languages used in this field. Python offers powerful libraries and tools for data analysis, statistical modeling, and machine learning, which are essential for analyzing complex datasets and making data-driven decisions. This tutorial provides a solid foundation in Python, enabling beginners to start coding and apply these skills in business analytics tasks like data manipulation, visualization, and predictive analytics.


    3. SQL Tutorial

      The video "SQL Tutorial for Beginners" is extremely relevant to business analytics as SQL (Structured Query Language) is a fundamental tool used for managing and manipulating relational databases. For business analysts, proficiency in SQL is crucial because it allows them to efficiently query and extract data from databases, perform data analysis, and generate insights that inform business decisions. This tutorial would help beginners understand the basics of SQL, enabling them to retrieve and analyse data effectively.


    Blog

    Business analytics is a game-changer in today's business landscape. It's not just about crunching numbers; it's about uncovering insights that drive strategic decision-making. What excites me most about business analytics is its power to transform raw data into actionable intelligence, enabling organisations to optimise processes, innovate, and stay ahead of the curve. From predictive modelling to data visualisation, the possibilities are endless. However, it's not without its challenges—ensuring data quality, navigating ethical considerations, and staying abreast of evolving technologies are key. But despite the complexities, the value it brings to businesses is undeniable. As technology continues to advance, I believe business analytics will only become more integral to driving success and fostering growth in the ever-evolving business landscape.


    Amazon AI Investment

    Amazon has substantially increased its financial backing in the AI sector by allocating an extra $2.75 billion towards Anthropic, an AI startup specialising in the advancement of generative AI models, with a particular focus on the Claude 3 models. This latest infusion of funds completes Amazon's previously announced $4 billion investment in Anthropic, representing its largest single investment in another company thus far. The strategic decision to invest is geared towards strengthening Amazon's competitive position in the swiftly evolving AI landscape, where major tech players are striving for supremacy in generative AI technologies. Moreover, this investment underscores Amazon's broader dedication to embedding state-of-the-art AI capabilities within its cloud computing services, notably AWS.




    Is robotics about to have its own ChatGPT moment?

    The article from MIT Technology Review delves into the intersection of AI advancements and robotics, envisioning a potential future where household robots become commonplace. It underscores a significant transition from conventional robotic control mechanisms to AI-driven models, enabling robots to acquire knowledge and adjust to novel environments with greater efficiency. Key to this paradigm shift are innovations in hardware design and data acquisition techniques, which are augmenting robots' capabilities and rendering tasks such as household chores increasingly within their reach. Central to this progress is the adoption of generative AI, akin to the transformative impact it has had on the field of natural language processing. This convergence of AI and robotics holds the promise of revolutionising daily life, ushering in a new era where intelligent machines seamlessly integrate into domestic settings to assist and augment human activities




    10 Business Analyst Performance Goals

    The article "10 Business Analyst Performance Goals" on Bridging the Gap provides a comprehensive list of performance objectives geared towards advancing the professional growth of business analysts. These goals are designed to empower business analysts to broaden their skill set by embracing new methodologies and techniques, diversifying their experience by working across various domains, and exploring different project methodologies to enrich their understanding and adaptability. Furthermore, the goals outlined in the article emphasize the importance of enhancing stakeholder relationships, fostering mentorship opportunities for other business analysts, and actively sharing expertise within the professional community. Additionally, the article suggests the incorporation of non-business analyst responsibilities, such as project management or quality assurance tasks, to broaden the analyst's perspective and contribute more effectively to project success.




    Predictions for the Future of GenAI

    The MIT Technology Review article explores the merging of AI advancements and robotics, envisioning a forthcoming era where household robots may become commonplace. It underscores the transition from conventional robotic control to AI-driven models, enabling robots to learn and adapt to new environments with greater efficiency. Innovations in hardware and data collection are amplifying robots' capabilities, rendering tasks like household chores increasingly within their grasp. This evolution is propelled by generative AI, akin to its transformative impact on natural language processing. The convergence of AI and robotics promises to revolutionize daily life, with intelligent machines seamlessly integrating into domestic settings, augmenting human activities.




    Secret Sauce of Successful Business Analysis

    In the insightful exploration of "Ego Check: The Secret Sauce of Successful Business Analysis" from BA Times, a profound examination is undertaken into a pivotal yet often overlooked aspect of the business analyst's journey - the adept management of one's ego. This introspective journey reveals the indispensable role finely tuned ego management plays in shaping the trajectory and success of business analysts within their roles. A well-managed ego serves as a linchpin for fostering enhanced communication channels, cultivating receptiveness to feedback, and facilitating more effective decision-making within the intricate web of business and IT projects. Moreover, embracing constructive criticism is championed as a catalyst for personal and professional growth. By blending confidence with humility and openness, analysts navigate project complexities with grace, fostering a culture of innovation and collaboration where diverse perspectives thrive, ultimately leading to heightened project success.




    Fears of Business Analysis

    In "Top 10 Fears in Business Analysis" on Modern Analyst, prevalent fears among business analysts are dissected, revealing potential obstacles to their professional growth. From reluctance to ask questions and seize new opportunities to aversion to receiving feedback and sharing knowledge, the article illuminates these common apprehensions. It underscores the significance of confronting these fears directly to attain excellence in the field. By addressing these concerns head-on, analysts pave the way for personal development and professional triumph. The article advocates for a proactive approach in overcoming these barriers, highlighting that such courage is indispensable for navigating the dynamic landscape of business analysis effectively. Ultimately, by embracing these challenges, analysts can unlock their full potential and thrive in their careers.




    BPMN Diagrams For Dummies

    The article "BPMN Diagrams For Dummies" on Business Analyst Learnings serves as a primer on Business Process Modeling Notation (BPMN), a cornerstone for business analysts. It elucidates the significance and utility of BPMN, a universally accepted diagramming and notation framework extensively employed in process planning and execution. Delving into the intricacies, the article meticulously outlines the fundamental elements of BPMN, encompassing events, tasks, decision points, and more. By offering a comprehensive overview, it equips readers with the requisite knowledge to comprehend the interplay of these components in process mapping exercises. Through this exposition, business analysts gain a solid footing in BPMN, empowering them to navigate complex processes with confidence and precision, thus amplifying their effectiveness in driving organisational efficiencies.




    5 Essential Skills for Leading Without Authority in Business Analysis

    The article "5 Essential Skills for Leading Without Authority in Business Analysis" from IIBA delves into the crucial competencies necessary for business analysts to lead effectively in the absence of formal authority. It outlines five pivotal skills essential for navigating this dynamic landscape. These include honing charisma to influence stakeholders, deploying diplomacy in negotiations, adeptly navigating change, fostering trust to cultivate robust relationships, and inspiring others to embrace change initiatives. By prioritizing the development of these skills, business analysts can effectively steer teams and projects, even without holding traditional leadership roles. This strategic emphasis on essential leadership qualities equips analysts with the tools needed to drive impactful change and foster innovation within their organizations, ultimately propelling them towards greater success in their roles.




    Master Data Management (MDM)

    The article featured on Teradata's website serves as an insightful guide to Master Data Management (MDM), highlighting its paramount importance in ensuring data consistency and accuracy across organisational ecosystems. MDM emerges as a kingpin in integrating data from disparate systems, culminating in a unified and trustworthy dataset pivotal for robust analytics and informed decision-making. The comprehensive approach advocated involves the establishment of clear data standards and meticulous processes, alongside a concerted effort to enhance data quality and promote consistent data usage throughout the organizational hierarchy. By steadfastly adhering to these principles, organizations can unlock heightened operational efficiency and fortify their decision-making prowess, thereby gaining a competitive edge in today's increasingly data-centric business landscape.




    Two Types of Startup Data Problems

    In his blog post "Two Types of Startup Data Problems," Yanir Seroussi delineates the distinctive categories of data challenges encountered by startups, dividing them into two distinct types: those necessitating machine learning operations (MLOps) and those that do not. For startups heavily reliant on machine learning, where ML forms the backbone of their products, the emphasis is on adeptly managing the entire lifecycle of ML models, encompassing efficient training, deployment, and ongoing maintenance. Conversely, non-ML startups may defer extensive data operations until they attain product-market fit, initially prioritizing minimal viable data practices. By recognizing and categorizing these distinct data challenges, startups can tailor their strategies and resource allocation accordingly, ultimately optimizing their chances of success in the competitive startup landscape.




    SQL Tells a Human Story

    In her blog post "SQL Tells a Human Story" on Little Miss Data, Laura Grace Ellis delves into the compelling narrative that SQL files can unveil about an organization's inner workings and hurdles. Through illustrative examples, the article illuminates how familiar SQL patterns, such as fine-tuning records and addressing system gaps, mirror the intricacies of underlying business operations and decision-making frameworks. Ellis champions the concept of "SQL forensics" as a methodical approach to unearth and tackle these insights, thereby fostering a deeper comprehension of organisational dynamics and bolstering data management practices. By harnessing the power of SQL to decipher these narratives, organizations can glean invaluable insights and pave the way for more informed decision-making and strategic initiatives.




    3 Ways Construction Businesses Can Modernize With No-Code Dynamic Work Management

    In the blog post "3 Ways Construction Businesses Can Modernize With No-Code Dynamic Work Management" on StarCIO, the spotlight falls on the transformative potential of no-code platforms in revolutionising project management within the construction industry. The post zeroes in on three key areas—safety management, equipment tracking, and subcontractor onboarding—where dynamic work applications can significantly enhance efficiency and adaptability. By leveraging these platforms, construction businesses can tailor their management practices to suit the unique requirements of each project, thereby minimising operational inefficiencies that are often pervasive in the industry. This approach heralds a new era of more streamlined and responsive project management, positioning construction firms to thrive in an increasingly competitive landscape.




    How Data Is Helping Us Prevent Traffic Accidents

    The article "How Data Is Helping Us Prevent Traffic Accidents" from SmartData Collective elucidates the pivotal role of data in augmenting road safety measures. It delves into various strategies leveraging data, including accident mapping to pinpoint hazardous locations, analysis of ridesharing and GPS data to streamline traffic flow, and harnessing public transportation data to enhance service provision. Moreover, the article explores the potential of data gleaned from autonomous vehicles in driving advancements in safer driving technologies. It also advocates for the reevaluation of conventional traffic safety assumptions through rigorous data analysis. By harnessing the power of data-driven insights, stakeholders in road safety initiatives can proactively mitigate risks and cultivate safer transportation environments for all.




    Intelligent automation (IA)

    The article on IBM's website offers a comprehensive exploration of intelligent automation (IA), portraying it as a revolutionary technology amalgamating artificial intelligence, machine learning, robotic process automation, and advanced analytics. IA's primary objective is to automate intricate business processes, minimizing manual intervention while enhancing accuracy and efficiency across diverse sectors. It delves into IA's application in industries like automotive, where it optimizes manufacturing processes, healthcare, aiding in patient data management, and insurance, streamlining claims processing. The article underscores IA's pivotal role in bolstering productivity and customer satisfaction through its adept handling of complex tasks and its ability to streamline operations across various domains, propelling organizations towards heightened success and competitiveness.




    5 Ways Dark Data Is Changing Data Analytics

    The article "5 Ways Dark Data Is Changing Data Analytics" on SmartData Collective provides an insightful examination of the transformative influence of dark data—data collected but not utilized—across diverse sectors. It delves into how dark data can enrich scientific research, influence GDPR compliance measures, spur the adoption of emerging technologies, deepen customer insights, and simultaneously pose data security risks if mishandled. The narrative underscores the critical importance of effectively managing and harnessing dark data to unearth hidden opportunities and proactively address potential threats within data-driven environments. By leveraging dark data strategically, organizations can unlock untapped potential, fortify their competitive edge, and navigate the evolving landscape of data analytics with confidence and foresight.

    More About Me

    Hobbies

    I enjoy a variety of activities during my free time that keep me active, relaxed, and connected with friends. Playing for St. Vincent's GAA Club is a big part of my life. The games are exciting and the practices challenging, but more than that, they help me build strong friendships and learn important skills like working together and staying positive, whether we win or lose.

    Swimming in the sea at places like High Rock in Malahide or Dollymount is another hobby I love. It's calming and invigorating to swim in the open water, and I feel refreshed and more connected to the natural world around me with every swim.

    I also go to Westwood Gym in Clontarf regularly. It's not just about working out; I really enjoy using the spa area to relax and help my muscles recover after exercise. This keeps me ready for my next workout or game day.

    Golf is another sport I take part in at Clontarf Golf Club. Playing golf teaches me patience and helps improve my focus as I try to make the perfect shot. It's also incredibly peaceful to play in the early morning when it's just me, the course, and the quiet.

    Socialising is an important part of my life too. Whether I'm catching up with friends over coffee in the morning or hanging out at local pubs, I cherish these times. These moments are fun and they strengthen the friendships that are important to me. All these activities are more than just hobbies. They keep me healthy, bring me happiness, and make my life fuller. Each one has its own special place in my week, helping me grow as a person and enjoy life to the fullest.

    Contact

    Here is my contact information, and I would greatly appreciate it if you could reach out to me regarding any potential job opportunities.