Same inputs, different outputs. Two new hires, six months in: one promoted, one managed out. The hidden variable was curiosity. During my data science internships at BlackbucksGroup and TechnoHacks EduTech, I witnessed this pattern repeatedly. Curious people consistently outperform their peers. Here's why: 🔍 They uncover problems others miss • Ask "what if we analyzed this differently?" • Spot data inconsistencies that save projects • Become the go-to problem solver 🤔 They improve processes by asking "why" and "how" • Question existing workflows • Suggest better analytical approaches • Get recognized for optimization ideas 🤝 They build stronger relationships • Show genuine interest in colleagues' challenges • Learn from other departments • Create cross-functional connections 📈 They spot growth opportunities • Volunteer for challenging projects • Identify skill gaps to fill • Position themselves for advancement Concrete examples I've seen: • Intern who asked about customer pain points discovered a major data gap • Colleague who questioned reporting methods streamlined our entire dashboard • Teammate who learned about sales challenges created predictive models that impressed leadership How to cultivate workplace curiosity: ✅ Ask "What's the story behind this data?" ✅ Request context during meetings ✅ Learn about adjacent teams' workflows ✅ Find new angles on routine tasks Curiosity isn't innate. It's a skill you can develop. Start with one curious question today. What's a time when curiosity led to an unexpected opportunity in your career? #DataScience #CareerGrowth #ProfessionalDevelopment
How Curiosity Can Boost Your Data Science Career
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📍Want to Land Your First Data Internship and Make It Count? When I look back at my early steps in data, I realize something powerful: It wasn’t the fancy tools or big certifications that moved my career forward, it was the internships that gave me real-world experience, connections, and confidence. But let’s face it, getting that first internship (and turning it into a full-time opportunity) can feel like trying to solve a puzzle without all the pieces. That’s why this Friday, Nov 14, 2025 (8:00 PM WAT), Glassthrone Institute of Data is hosting a practical, no-fluff session on “Everything Internships in the Data Field.” Join Tabinda Bakht (Data Analytics & AI Enthusiast) as she shares insider strategies on: ▫️ How to land your first data internship ▫️ Building meaningful career connections ▫️ Turning internship experience into full-time roles ▫️ Skills and habits that make you stand out in the field https://lnkd.in/dqwU2TrT Don’t just chase internships — learn how to turn them into stepping stones for a thriving data career. #DataScience #Internships #CareerGrowth #AI #DataAnalytics #Glassthrone #TechCareers #LearningJourney
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What if one skill could skyrocket your salary AND career options? It's Data Analytics. This field is redefining decision-making across every industry. Why is it the Fastest-Growing Career of the Decade? Because mastering tools like SQL, Power BI, and Python means you become indispensable. Want to know the specific steps to transition into this field? Want daily tutorials on the tools you see here? Tap FOLLOW now. ElevanceSkills is your dedicated mentor for becoming a data-driven leader. #DataAnalytics #CareerDevelopment #BusinessIntelligence #Python #FutureOfWork #Technology #DataScience #ElevanceSkills
🔍 Domain Spotlight — Data Analytics From data to decisions — the world runs on insights, not assumptions. 💡 At ElevanceSkills, we don’t just train you — we put you inside real industry projects where you: 🔹 Analyze live business datasets 🔹 Build dashboards used by stakeholders 🔹 Automate reporting & uncover patterns that impact revenue 🔹 Earn internship experience + stipend opportunities 📊 Data analysts are the “decision architects” of tomorrow. If you're someone who loves patterns, problem-solving, and business impact — this domain is your spotlight. 🔗 Ready to turn raw data into real-world results? #DataAnalytics #RealWorldInternship #ProofOfWork #CareerGrowth #BusinessIntelligence #DataDriven
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Most companies want data science experience before they hire you, but how do you get it? Here’s 3 ways to gain experience: 1 Do your own projects ⮑Find a topic you like, grab some data, and solve a real business problem. 2 Join hackathons ⮑Solve real problems, meet other data people, and test your skills in a fun way. 3 Get an internship ⮑Work on real projects, learn from experts, and maybe even get paid. ✨ Skills may get you the interview, but experience will land you the job! P.S. Which of these are you going to try first? #DataSistah 🔔Follow me for more tips on how to accelerate your data science career. ♻️Reshare to help others. 📌Check out my free resume optimizer tool.
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Thrilled to share my latest completed project: the Intern Performance Evaluation System! (Task Six Completed by Internee.pk) This wasn't just about tracking data; it was about building an automated, data-driven framework to standardize intern evaluation, optimize resource allocation, and ensure every intern gets the support they need to succeed. Key Features of the System: - Multi-Dimensional Tracking: We moved beyond basic completion rates. The system tracks metrics across Task Completion, Quality Assessment Scores, Mentor Feedback, and Collaboration. - Automated KPI Monitoring: The system constantly tracks core KPIs like Completion Rate and Performance Score (a composite index), providing real-time trend analysis and Department-wise Benchmarking. - Intelligent Reporting & Prediction: It generates comprehensive reports (Executive Summaries, Individual Progress) and, most crucially, uses Predictive Analytics to classify performance tiers and power an Early Warning System for at-risk interns. The Business Impact: The potential benefits are significant and quantifiable, including: - A projected 15-20% productivity gain through optimized task allocation. - 30% improvement in intern retention with data-backed recognition programs. - A 50% reduction in performance variance across the organization through standardized mentoring. This project was a fantastic opportunity to translate complex business needs (improving intern programs) into a robust, scalable data analytics solution. I'm proud of the data-driven insights that will directly lead to better mentorship and talent development! Github repo: https://lnkd.in/dDwhH_MZ Internee.pk #DataAnalytics #PerformanceManagement #KPIs #DataScience #ProjectCompleted #PredictiveAnalytics #InternshipProgram #BusinessIntelligence #Internee
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"They say 'All happy families are alike; each unhappy family is unhappy in its own way.' I've found this rings true in business as well. In my experience, unsuccessful businesses are often unhappy in their own ways: they either ignore their data, don't understand it, or fail to act on its prescriptions. Conversely, successful businesses share a key trait: they utilize their data to build impactful strategies and follow through on data-driven decisions, guided by clear KPIs and metrics. Ultimately, what matters are the objectives an organization sets. This is why a fundamental understanding of Business Analytics is not just helpful, it's essential. For my first internship task with Codveda Technologies, I delved into these very basics: What Business Analytics is How the analytics process works The Four Types of analytics (Descriptive, Diagnostic, Predictive, Prescriptive) Its crucial role in shifting decision-making from intuition to insight. It’s the foundation upon which data-driven success is built. #BusinessAnalytics #DataDriven #SuccessMindset #KPIs #Metrics #StrategicPlanning #CodvedaTechnologies #InternshipJourney #LearningAndGrowth #CodvedaExperience
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🌟 Internship Update: Uncovering Investment Behaviour Through Data Analytics 📊💡 Excited to share another milestone from my Business Analytics internship Cognifyz Technologies! Over the past few days, I’ve been diving into deeper aspects of investor behaviour by analyzing preferences, motivations, and savings patterns using Python. Here’s what I explored in my latest tasks: 1️⃣ Most Preferred Investment Avenue Performed a frequency analysis and visualized the top investment choices among respondents. Mutual Funds emerged as the most preferred avenue, indicating trust in professionally managed and diversified options. 2️⃣ Reasons for Investment Choices Combined and analyzed multiple “reason” columns to uncover common motivations. The top drivers included Better Returns, Capital Appreciation, Assured Returns, and Safe/Risk-Free options, giving a clear view of investor decision-making patterns. 3️⃣ Savings Objectives Identified the primary financial goals of participants such as Retirement Planning, Health Care, and Education. These insights highlight long-term priorities and the importance of financial security among respondents. 🔍 These analytical steps are helping me build a clearer picture of investor personas and preferences, which will support future segmentation work and data-driven storytelling. Grateful for the continued learning and hands-on experience this internship offers! #BusinessAnalytics #DataAnalytics #InternshipJourney #Python #CognifyzTechnologies #Cognifyz #LearningByDoing #FinancialInsights #DataDriven
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Want to start a tech career without the stress? At The Analytics School, we’ve made the process simple learn, practice, and grow with real experience. Here’s how it works 👇 📘 4 Weeks of Hands-On Learning: Get trained in Data Analysis from Excel to Power BI, and everything in between. 📌 We break it down step-by-step, so even beginners can follow easily. 💼 4-weeks internship Experience: After learning, you’ll join a real internship to practice what you’ve learned, work on projects, and gain practical experience employers love. 🤝 Continuous guidance& Support: You’ll also join a community l 🎓 Graduate with a Certificate Complete the program, build your portfolio, and walk away ready to land real roles in data. Start learning. Start practicing. Start growing. All from one place, The Analytics School Visit https://lnkd.in/dH7mr9Us to join Refer someone and earn 10% per referral #theanalyticsschool #dataanalytics
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🌟 DataTalent Participant Project Highlights 🌟 💡Our DataTalent program offers Canadian employers the opportunity to connect with outstanding data professionals through fully subsidized internships and projects. DataTalent Program is powered by Upskill Canada and the Government of Canada. Palette Skills 👥 Highlighting: Andres' Capstone Project! ➡️ Project Description: This capstone project analyzes customer's economic and behavioural data that impacts their credit score. #UpSkill #AI #ML #DataScience #BigData #TechInCanada
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When I started as an intern on the Market Research team, I had no idea how much that experience would shape my career. I quickly saw how powerful analytics could be—not just for confirming ideas/execution, but for discovering new ones that could shift strategy entirely. That internship taught me two things I still rely on today: ✅ An analytical mindset. ✅ The habit of taking initiative. I raised my hand to build an internal ad testing solution, and that moment showed me the impact of being proactive. My advice to anyone starting out? 🔍 Dig deeper. Ask better questions. 🤝 Build relationships across the business. 🚀 Step up when you see an opportunity—especially when it’s not in your job description - dig into AI for sure now-a-days. And always celebrate the people who go above and beyond. They’re the ones who move the business forward. #LeadershipJourney #CareerGrowth #EarlyCareerAdvice
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I've had the opportunity to review the 2024–25 internship data of our department and have built a small Internship Insights Dashboard. Wow, the trends are incredibly interesting! This year, my classmates and I secured summer internship opportunities across 16 companies, with a mix of online, offline, and in-house modes. Nearly half of these were online. Additionally, only 7.4% were paid. By digging deeper, Data Science & Full Stack were the top domains, while AI & DS had the lead in paid internships. Some companies consistently hosted more interns, and most of the internships lasted around 8 weeks, providing them with good exposure. It has indeed been very interesting to note the variation of internship modes across domains, which domains top in share, and which companies drive opportunities in their respective fields. Paid vs unpaid distributions, company-wise mode breakdowns, and domain-specific trends all combined to give a clear picture of where opportunities lie. Building this dashboard really showed me how data can tell a story—helping students, mentors, and institutions understand patterns, make better decisions, and create more meaningful internship experiences. Sincere gratitude to our mentors, Durga Sai Prasad Ganapathi and SATHISH LUTUKURTHI, as well as my friends Nekkanti Susrutha and Shalini Mani Chandana Kumari Vetsa, for their continuous guidance in exploring Apex Charts in React. #DataVisualization #InternshipInsights #StudentOpportunities #Analytics #ApexCharts #React #Frontend #CareerGrowth #DataScience #FullStackDevelopment #Dashboard #LearningFromData
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student at Aditya University
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