Björn van Dijkman’s Post

On my way to becoming a Data Analyst!

Road mab to become a data analyst

🎉 Excited to share that I've successfully completed a project that holds special significance to me! 🚀✨ Recently, I had the opportunity to work on creating a predictive model aimed at classifying passenger satisfaction based on various factors provided in the dataset. 📊🔍 The journey involved several pivotal tasks: 🔹 Data Cleaning: Ensuring the dataset was primed and ready for analysis and model building, tackling various tasks to refine the data. 🔹 Exploratory Data Analysis (EDA): Conducting a deep dive into the dataset to uncover patterns, anomalies, trends, and relationships, with the aid of visualizations to enhance understanding. 🔹 Dimensionality Reduction: Implementing techniques to streamline the dataset by reducing the number of features while retaining crucial information. 🔹 SVM Model Development: Training a classification model using Support Vector Machines (SVM) on the training data, followed by rigorous evaluation using metrics such as accuracy, precision, recall, and F1-score on the testing data. 📈📉 You can check out the notebook detailing this project here[https://lnkd.in/df4-zDtT]! 📓

Started working as a Business Analyst in Calibr8 Systems Inc.

I'm excited to share that I've successfully completed an Introduction to Data Science course, delving into fundamental concepts and techniques in the dynamic field of data science.

I'm thrilled to announce that I've completed my first 3 months as a Business Analyst at Rapido! 🎉 During this time, I've had the opportunity to dive deep into the world of analytics within a tech company, and I'm excited to share some insights with you. 🔍 Analytics is all about: Reporting (Dashboarding): Reporting is an integral part of providing insights into past performance and current trends. At Rapido, I've honed my skills in creating visually appealing dashboards and reports to communicate key metrics and KPIs. While reporting is essential, I've also realized that focusing solely on this aspect can limit growth potential in the field. Strategic Decision Making (Real Analytics): The real power of analytics lies in its ability to drive strategic decision-making. This involves diving into data to run experiments, create segments for various use cases, assist in demand planning, develop pricing frameworks, and much more. Real analytics empowers businesses, like Rapido, to make data-driven decisions that have a tangible impact on their bottom line.

🚀 Attention Product Managers, Product Analysts, and Startup Founders! Do you ever feel bogged down by manual data gathering and analysis? What specific aspect of product analytics is slowing you down the most? I'm exploring new solutions, and your insights could shape the next big thing in product analytics tools. 🗣️ Let's hear your thoughts in the comments below, or feel free to reach out directly!

Hey connections I am 🚀 excited to share my second project 𝗕𝗮𝗻𝗸 𝗖𝗥𝗠 𝗗𝗮𝘀𝗵𝗯𝗼𝗮𝗿𝗱📈 done in Power Bi. 🔍 𝗧𝗶𝘁𝗹𝗲 : Bank CRM(Customer relationship management) Development Dashboard. 📋 𝗦𝗧𝗘𝗣𝗦 𝗙𝗢𝗟𝗟𝗢𝗪𝗘𝗗: 1️⃣ 𝗗𝗔𝗧𝗔 𝗦𝗢𝗨𝗥𝗖𝗘: Gathered from Kaggle. 2️⃣ 𝗗𝗔𝗧𝗔 𝗧𝗥𝗔𝗡𝗦𝗙𝗢𝗥𝗠𝗔𝗧𝗜𝗢𝗡: Used Power Query to clean the data, removed nulls and duplicates, and fine-tuned data types. 3️⃣ 𝗗𝗔𝗧𝗔 𝗟𝗢𝗔𝗗𝗜𝗡𝗚: Imported the transformed data into Power View for analysis. 4️⃣ 𝗗𝗔𝗧𝗔 𝗜𝗠𝗣𝗟𝗘𝗠𝗘𝗡𝗧𝗔𝗧𝗜𝗢𝗡: Leveraged DAX to create calculated measures and columns, refining the data for deeper insights. 5️⃣ 𝗥𝗘𝗣𝗢𝗥𝗧𝗦 𝗖𝗥𝗘𝗔𝗧𝗜𝗢𝗡: Crafted user-friendly visualizations that tell a compelling data story through our dashboard. 𝗞𝗲𝘆 𝗣𝗲𝗿𝗳𝗼𝗿𝗺𝗮𝗻𝗰𝗲 𝗜𝗻𝗱𝗶𝗰𝗮𝘁𝗼𝗿𝘀 (𝗞𝗣𝗜'𝘀) 𝗜𝗻𝘀𝗶𝗴𝗵𝘁𝘀: 📊 ➼ 𝗥𝗲𝗴𝗶𝗼𝗻𝗮𝗹 𝗕𝗮𝗹𝗮𝗻𝗰𝗲𝘀: France leads in maximum balance, while Spain tops average balance. ➼ 𝗧𝗼𝗽 𝗘𝗮𝗿𝗻𝗲𝗿𝘀: Identified top 5 customers with high estimated salaries,  aiding targeted strategies. ➼ 𝗖𝗿𝗲𝗱𝗶𝘁 𝗖𝗮𝗿𝗱 𝗨𝘀𝗮𝗴𝗲: Customers with cards tend to adopt more products,  impacting retention. ➼ 𝗖𝗵𝘂𝗿𝗻 𝗔𝗻𝗮𝗹𝘆𝘀𝗶𝘀: Females show higher churn rates; credit scores correlate with churn. ➼ 𝗚𝗲𝗻𝗱𝗲𝗿 𝗗𝗶𝘀𝗽𝗮𝗿𝗶𝘁𝗶𝗲𝘀: Females earn slightly more but hold fewer active accounts on average. ➼ 𝗔𝗰𝘁𝗶𝘃𝗲 𝗔𝗰𝗰𝗼𝘂𝗻𝘁𝘀: France leads in active accounts, guiding resource allocation. ➼ 𝗖𝗿𝗲𝗱𝗶𝘁 𝗖𝗮𝗿𝗱 𝗜𝗻𝗳𝗹𝘂𝗲𝗻𝗰𝗲: Customers sans cards churn more, hinting at payment method's role. ➼ 𝗣𝗿𝗼𝗱𝘂𝗰𝘁 𝗔𝗱𝗼𝗽𝘁𝗶𝗼𝗻 𝗮𝗻𝗱 𝗖𝗵𝘂𝗿𝗻: Higher product adoption correlates with lower churn rates. 𝗕𝗲𝗵𝗮𝘃𝗶𝗼𝗿𝗮𝗹 𝗣𝗮𝘁𝘁𝗲𝗿𝗻𝘀 & 𝗥𝗲𝘁𝗲𝗻𝘁𝗶𝗼𝗻 𝗦𝘁𝗿𝗮𝘁𝗲𝗴𝗶𝗲𝘀: ➼ 𝗦𝗽𝗲𝗻𝗱𝗶𝗻𝗴 𝗕𝗲𝗵𝗮𝘃𝗶𝗼𝗿 : Long-term customers exhibit stable spending, signaling loyalty. ➼ 𝗥𝗲𝘁𝗲𝗻𝘁𝗶𝗼𝗻 𝗦𝘂𝗰𝗰𝗲𝘀𝘀: Stable spending among loyal customers reflects effective retention efforts. 𝗔𝘀𝘀𝗲𝘀𝘀𝗶𝗻𝗴 𝗠𝗮𝗿𝗸𝗲𝘁𝗶𝗻𝗴 𝗖𝗮𝗺𝗽𝗮𝗶𝗴𝗻 𝗜𝗺𝗽𝗮𝗰𝘁: ➼ 𝗖𝗮𝗺𝗽𝗮𝗶𝗴𝗻 𝗘𝘃𝗮𝗹𝘂𝗮𝘁𝗶𝗼𝗻 𝗦𝘁𝗲𝗽𝘀: Define metrics, monitor changes, segment customers, conduct tests, gather feedback, consider external factors, and apply simple analytics techniques. Any suggestions will be welcome 😊 #MicrosoftPowerBi #PowerQuery #DAX #Datamodeling #Ecommerce #networking #freshers #KPI #sales #RelationshipBuilding #DataVisualization #PowerBiServices #Deloitte #TigerAnalytics #Pwc #Kpmg #EY #HCL #Wipro #BIResearch##codebasics #DataAnalysis #MarketInsights #BusinessStrategy #ConsumerBehavior #Analytics #dashboard #research #Microsoft #kaggle #PowerQuery #Excel #sql #powerbi #powerbideveloper #data #businessintelligence 

🎉Let’s hear it for DISQO Team Member of the Month, Quyen Koniaris! As a Senior Data Analyst, Quyen partners with DISQO’s ad measurement Customer Success and Data Engineering teams to automate and optimize data practices, so that we can deliver increasingly valuable insights for our clients💡. #GoDISQO 🥘When not knee-deep in data, Quyen enjoys taking her baby out for brunch and a stroll in the park, or snagging the best deals at Costco. Sounds like the best kind of weekend plans! ⭐Read more about how Quyen makes an impact at DISQO: https://hubs.li/Q01YNjG10