Objective Platform’s Post

A little of what we've been working on lately on the market data team at Pave -- offer insights powered by a partnership with Greenhouse Software! Read all about it in the link in comments. And if you're interested in joining the team, we are actively hiring software engineers, data scientists and product managers!

📈 Day 14 of my 30-Day Data Analyst Skills Brush-Up Challenge! 📊 Today, I took on Project 1 - Real-World Dataset Analysis with the New York City Airbnb Open Data. This dataset contains detailed information about Airbnb listings in NYC, including prices, locations, and availability. I explored: - Loading the Dataset: Worked with the NYC Airbnb Open Data for a comprehensive analysis. - Data Cleaning and Preparation: Handled missing values, encoded categorical variables, and normalized numerical features. - Exploratory Data Analysis (EDA): Uncovered patterns and insights, visualized distributions, and examined relationships between features. - Feature Engineering: Created new features like reviews per month and availability ratio to enhance the model. - Predictive Modeling: Built and evaluated a Random Forest Regressor to predict listing prices. The dataset and results are used for educational purposes, demonstrating the application of advanced analysis techniques on real-world data. Check out the detailed notebook to see these techniques and visualizations in action! 🚀📅 Follow Tushar P. to tag along with the challenge #DataScience #MachineLearning #Airbnb #PredictiveModeling #Python #DataAnalysis #LearnInPublic #30DayChallenge #NYCAirbnb #EDA #FeatureEngineering #RandomForest #opentowork #Vancouver #Canada

Seven years ago, I embarked on a journey as a data analyst, diving into data interpretation, visualization, and insights generation. Over the years, I've honed my skills in making data-driven decisions, optimizing processes, and contributing to business growth. 📈 Now, I'm thrilled to share that I’m taking the leap into software development, with a focus on becoming a backend software engineer. This new path feels both challenging and exciting, and I'm eager to apply my analytical background to software, solving complex problems and building scalable solutions. 🌐💻 Looking forward to connecting with others on similar journeys and learning from the #tech and #developer communities! #CareerTransition #SoftwareDevelopment #BackendEngineering #DataAnalyst #LearningToCode #TechJourney

At Bolt we're on the lookout for a **Senior Data Analyst** who's ready to revolutionize the way we think about data. But not just any data - we're diving deep into the crucial world of **user identity services**. Think verification, authentication, user profiles, and communications. 😎 Excited yet? You should be! 🕵♂️ Your mission, should you choose to accept it, involves more than just crunching numbers. You'll co-lead the development of our products, becoming the voice of our customers. Your insights will shape what we build and steer the direction of our innovation. 👉 If you are asked about the language of ❤️, when people think 🇫🇷, do you think SQL and Python instead? 👉 Is storytelling through data your kind of 🛌 bedtime story? 👉 Are you ready to engage with engineering to craft data pipelines as finely tuned as a Stradivarius 🎻? 👉 When your friends ask you to go to a 🍕 place different than the usual, is your first question "Wait, did we AB test it?" 👉 Do you want to impact millions daily? If you answered YES to all 👆 go ahead and apply! Got questions? My DMs are open.

I’ve been digging into some stats about my LinkedIn followers, and I couldn’t be more thrilled with the diverse talent in my community! 🎯 Here’s a peek at the amazing professionals following me: 👩💻 Software Engineers – 3.7% 🧠 Data Scientists – 3.5% 🔧 Data Engineers – 3.4% 📊 Data Analysts – 2.3% 🚀 Founders – 1.7% It’s incredible to connect with such a range of experts, from those building powerful tech solutions to those driving business growth and insights! ✨ Together, we can push the boundaries of innovation! 🚀 #LinkedInFamily #TechLeaders #DataScience #Networking #InnovationJourney #GrowthMindset

One of the greatest benefits of working at Uber when it was in hyper hyper growth was the variety of analytics projects I got to work on. In no particular order, I was lucky enough to be a part of: — Building a segmentation framework to win back riders post COVID — Quantifying the impact of global support tickets for UberPOOL — Measuring the incrementality of the customer referral program — Analyzing the best time to suggest drivers take their first trip — Competitive promotions trying to win the DC market — Identifying marketing channels to shut down — Helping to optimize > $1BN in Brand spend Without even mentioning the impact of these analyses, the sheer diversity of problems I got to explore is something I still look back fondly on. If you're an early career data analyst, try your hardest to join a rocketship. Your surface area will grow exponentially. And if you're looking to bring on analytics, look for people that have been on rocketships. Your company's surface area will grow exponentially.

𝐀𝐫𝐞 𝐲𝐨𝐮 𝐚 𝐃𝐚𝐭𝐚 𝐄𝐧𝐠𝐢𝐧𝐞𝐞𝐫 𝐥𝐨𝐨𝐤𝐢𝐧𝐠 𝐟𝐨𝐫 𝐲𝐨𝐮𝐫 𝐝𝐫𝐞𝐚𝐦 𝐫𝐨𝐥𝐞? Viator’s MarTech Engineering & Operations team is looking for a Data Engineer II to support our growing traffic and deliver state-of-the-art MarTech solutions. 𝗛𝗲𝗿𝗲’𝘀 𝗮 𝗯𝗶𝘁 𝗮𝗯𝗼𝘂𝘁 𝘂𝘀: Viator, a Tripadvisor company, is the leading marketplace for travel experiences. We believe that making memories is what travel is all about. And with 300,000+ travel experiences to explore - everything from simple tours to extreme adventures (and all the niche, interesting stuff in between) - making memories that will last a lifetime has never been easier. 🌍✨ 𝗛𝗲𝗿𝗲’𝘀 𝗮 𝘀𝗻𝗮𝗽𝘀𝗵𝗼𝘁 𝗼𝗳 𝘄𝗵𝗮𝘁 𝘆𝗼𝘂’𝗹𝗹 𝗱𝗼: 🔹Work with cross-functional stakeholders in defining and documenting requirements for building high-quality and impactful data products. 🔹Code, test, and document new or modified data systems to create robust and scalable applications for reporting and data analytics. 🔹Be part of a team that brings millions of visitors to Viator each month and manages all marketing data end-to-end, ensuring top-tier reliability and modularity. If you’re passionate about shaping the future of travel experiences, we’d love to hear from you. Learn more and apply here: https://lnkd.in/eZNCq-kN André Potes Diogo César Morais Karolina Gruca Taylor Manning Tom Agg #MarTech #Data #Engineering #WeAreHiring #Careers #LifeAtViator #Remote #Hybrid

"I've noticed that people in tech aren't as concerned about your background, as long as you can do the job. Learning on the job is the norm, and that's how everyone gets started in this field," explains Toronto-based Data Engineer Crystal Li. In 2022, Crystal swapped an Accounting career for one as an Engineer and she says there are few fields as rewarding. "It's important to remember that your previous experience and strengths are still relevant, even in a new environment. Having a different set of skills/experience helps you bring a fresh perspective to your teams." Ready for a change? Join our team → https://lnkd.in/gDv3TG9i #LifeAtUber

🤔 If you are curious about how I got into the role of CRO, feel free to catch up on the newsletter by Tom van den Berg or follow the link below https://lnkd.in/dYnZdme9 #experimentationcareer #experimentation #cro #conversionrate

Discover free certifications from Meta! 1. Data Analyst Professional 2. Frontend Professional 3. Backend Professional Know someone into Instagram or WhatsApp? Share this with them! Save, follow ACTE, comment “link” for course access. #FreeCertifications #Meta #CareerGrowth #ACTE