CareerVillage.org’s Post

Let's give them some spotlight!! 🎉 We're super excited to welcome four new faces to our team, all stars from the VU Amsterdam and ready to make their mark. Yas Farahani is diving into business development with us, driven purely by her passion for the field. She's here to shake things up, and we're all for it. Then we've got a power trio of Data Scientist interns - Maurits de Vries, Syb Heringa, and Romnick Mozes Evangelista. They're here to crunch numbers, weave data magic for their thesis, and, honestly, teach us a thing or two about customer success along the way. It's not just about what they learn here, but also what we learn from them. Fresh perspectives, new ideas, and a whole lot of energy - that's what we're all about. So, a big welcome to Yas, Maurits, Syb, and Romnick. Can't wait to see the awesome things we'll achieve together. Let the adventure begin! 🚀 #NewBeginnings #TeamChurned #DataScience #BusinessDevelopment

Our interns develop data products and solutions that address real-world data challenges in diverse sectors from sports to business intelligence. Learn more: https://lnkd.in/ekWUefXr #datasolutions #realworldexperience #realworld #businessintelligence #sportsinnovation

Yesterday, I completed a full #year at World Data Lab ✨ Reflecting on these past 12 months makes me even more excited about what’s to come. Working as an intern during a summer of full-time engagement and continuing part-time, I've had the privilege to: • Collaborate with 8 diverse #clients (public and private sectors) • Create and deliver over 20 #presentations, 4 detailed #reports, 4 #blog posts, and 2 sets of release notes about our granular #data • Contribute to significant #publications from our partners • Assist in 5 #webinars and 3 strategic client #meetings • Get 6 #insights published I joined the company when the 1st World Consumer Outlook was being created. Currently, I am helping build WCO 3 (!!), which will be held on May 29th — detailed data, insightful updates, and special guests 🌎 Sign up here: https://lnkd.in/dP3UpgsV (In the photo, a few of the amazing people I get/have gotten to work with!)

"🎉🎉I'm excited to share that I've completed Level 3 (Task 3), during my tenure as a Data Scientist intern at Cognify Technologies. Grateful for the learning opportunities and looking forward to applying my skills to new challenges! 🌟📚 Task 3: Data Visualization Create visualizations to represent the distribution of ratings using different charts (histogram, bar plot, etc.). Compare the average ratings of different cuisines or cities using appropriate visualizations. Visualize the relationship between various features and the target variable to gain insights.

Congratulations to our Intern of the Week, Amandeep Sohal. Amandeep is a computer science major with a concentration in information systems. His favorite thing about working at MERC is “Working with data and getting hands-on experience”. After graduation, he plans on either getting a job in data analytics or pursue a masters in data analytics. His favorite hobby is baking. His favorite TV show is 𝑀𝑎𝑠𝑡𝑒𝑟 𝐶ℎ𝑒𝑓: 𝐶𝑎𝑛𝑎𝑑𝑎 and his favorite movie is 𝐿𝑖𝑙𝑜 & 𝑆𝑡𝑖𝑡𝑐ℎ.

#9 PROJECT Good day LinkedIn Community, I am elated to share my ninth Project as a Data Analyst Intern with Quantum Analytics. Let us take a ride to New York City to analyze the taxi trips by passengers from 2017 to 2020. Quantum Analytics NG Jonathan Osagie Title: NYC Taxi Trips Data Overview: This dataset contains 6 tables in csv format: the 4 Taxi Trips tables, the 454 Calendar table contains a fiscal calendar (2017-2020), the Taxi Zones table contains information about 265 zone locations in New York City. Data Visualization tool: Power BI Data Source: Quantum Analytics NG KPIs: ·        Total Passengers ·        Total Trips ·        Total Fare Amount ·        Average Fare Amount ·        Average Distance Key Insights: o   Average Number of Trips by Week o   Average Fare Amount by Week o   Average Distance by Week o   Total Trips by Service Zone o   Pickup by Location o   Total Trip by Week I look forward to your feedback: commendation(s), criticism(s) and recommendation(s). Thank you. Many thanks to the entire Quantum Analytics NG team for the knowledge and impact. #DataAnalyst hashtag #DataAnalysis hashtag #Internship hashtag #QuantumAnalytics hashtag #4Assignments hashtag #13Projects hashtag #PowerBI hashtag #NYC #TaxiTrips hashtag #LiveAnalysis hashtag #problemsolvingskills hashtag #visualization hashtag #BusinessInsights hashtag #Actionabledecisions

Excited to share my latest project during my Data Science internship with LetsGrowMore! Just wrapped up building a powerful Iris flower classification model using Decision Trees. Check out the magic of data-driven insights! #DataScience #machinelearning #LetsGrowMore #IrisClassification

🚗 Exciting News from Uber Data Analytics Team 🚗 Hey LinkedIn community! I'm thrilled to share my first assignment as a Data Analyst Intern with Uber! 🚀 For the past few weeks, I've been diving into the fascinating world of ride data recorded between January 1, 2009, and June 30, 2015. 📊 Here's what I've been up to: 📆 **Time Frame**: Analyzing rides within the period of January 1, 2009, to June 30, 2015. 🚕 **Data Exploration**: Exploring key variables like 'fare_amount,' 'passenger_count,' and 'haversine_distance' to understand trends and patterns. 🗺️ **Geospatial Analysis**: Delving into the pickup and dropoff locations using latitude and longitude data to uncover insights about ride patterns. 📈 **Machine Learning Modeling**: Building predictive models to estimate 'fare_amount' based on features like 'passenger_count' and 'day_of_week'. I'm amazed at the wealth of information and the opportunities for data-driven decision-making in the ride-sharing industry. 🌟 Stay tuned for more updates as I continue this exciting journey with Uber! 🎉 #DataAnalysis #MachineLearning #Uber #DataScience #LinkedInPost #innomaticsresearchlabs Github link:https://lnkd.in/gvQqXBkF

🎉 Excited to share that I've successfully completed my first task as a Data Science Intern at #congifyz #congifyztech 🚀 During this initial project, I: 🔍 Analyzed the distribution of the target variable "Aggregate Rating" 🔄 Performed data type conversion from float to integer 📊 Visualized the data to identify any class imbalances

I am thrilled to share my enriching experience as a data analyst Intern at Source Code Technology, where I had the opportunity to immerse myself in the dynamic world of data analysis Where I delved into the world of data to extract meaningful insights and support informed decision-making.