Beyond Resume

Kausik
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Beyond Resume features real conversations with analytics and AI leaders about the parts that don't fit on a resume. The career-defining moments. The failures that taught more than wins. The human skills that drove success. Host Kausik Kumar (Leader Enterprise Data & AI, 20+ years) asks the questions you actually want answered: - How did they really get there? - What would they do differently? - What matters more than technical depth? 25 minutes. Zero corporate speak. Real talk for analytics professionals at any stage. New episodes bi-weekly.

  1. 4日前 · 附贈內容

    From Bengali Medium with No Coding Skills to BI Expert | How Ankita Das Did It

    From Bengali Medium to BI Expert: How Ankita Das Overcame Language & Coding BarriersAnkita Das didn't start with the "typical" background for a data professional.She came from Bengali medium schooling and felt nervous speaking English. She had no coding background when she decided to enter analytics.In this clip from Beyond Resume, Ankita shares her practical approach to overcoming these barriers—and the powerful framework she discovered: consistency + compounding = confidence.

    1 分鐘

  2. 4日前 · 附贈內容

    What's More Important: Beautiful Dashboards or Meaningful Insights? | Ankita Das Explains

    "BI is About Insights, Not Charts" - Ankita Das on What Really Matters in Data VisualizationMost people focus on making dashboards look good. Ankita Das focuses on making them meaningful.In this clip from Beyond Resume, Ankita explains why the real foundation of Business Intelligence isn't chart aesthetics—it's the backend data modeling that makes insights possible.

    1 分鐘

  3. 1月29日 · 附贈內容

    How Do You Learn Faster? Embrace Mistakes | BI Expert Ankita Das Explains

    "Mistakes Boost My Confidence" - How Ankita Das Transformed Her Relationship with Failure Ankita Das, Business Intelligence Expert, used to be afraid of challenges and mistakes. Today, she embraces them as her primary learning tool. In this clip from Beyond Resume, Ankita shares the mindset shift that changed her career trajectory. 🎯 WHAT ANKITA SHARES: - Why she was initially afraid to face challenges and make mistakes - The realization that all real learning comes from resolving mistakes - How mistakes build confidence and lead to taking ownership - The shift from fear-based thinking to curiosity-based problem-solving 💡 KEY QUOTE: "Whenever I learn something new, it comes from mistakes—and resolving those mistakes boosts my confidence. That confidence led me to explore more, take ownership of my work, and now I approach every problem with a mindset of curiosity instead of fear." 🎙️ FULL EPISODE: [Link to full episode] 📌 ABOUT ANKITA DAS: Ankita is a Business Intelligence Expert specializing in Power BI and Tableau, helping organizations transform data into actionable insights. 📌 ABOUT BEYOND RESUME: Where careers and analytics come alive. Host Kausik Kumar explores the intersection of innovation and human experience with leaders and rising talents in analytics and AI. 🔔 SUBSCRIBE for more insights from analytics and AI professionals. #GrowthMindset #BusinessIntelligence #CareerGrowth #Mistakes #Learning #BeyondResume #DataScience

    1 分鐘

  4. 1月27日

    No Coding, No English Confidence—How Ankita Das Became a BI Expert | Beyond Resume

    FROM ECONOMICS TO BI EXPERT: Ankita Das on Overcoming Barriers & Building Strong FoundationsAnkita Das didn't start with a coding background. She came from a Bengali medium education and felt nervous speaking English. She was preparing for government jobs that didn't align with her interests.But she made a choice: Follow her passion for data, numbers, and creating real-world impact.In this Beyond Resume conversation, Ankita shares her journey from Economics graduate to Business Intelligence expert—and the lessons she learned along the way.🎯 WHAT WE DISCUSS:→ The moment Ankita realized government jobs weren't her path (00:00)→ How she discovered analytics and data science in 2020 (03:15)→ Overcoming language barriers and lack of coding knowledge (08:30)→ The power of consistency and compounding in skill development (12:45)→ Why data modeling is more important than dashboard aesthetics (18:20)→ Walking away from MNC offers that didn't match her interests (24:10)→ The real purpose of BI: Insights, not just charts (28:45)→ How remote work shaped her collaboration approach (32:00)💡 KEY TAKEAWAYS:- "Most people think BI is about making charts. It's not. It's about revealing insights that drive decisions."- "Whenever I learn something new, it comes from mistakes—and resolving those mistakes boosts my confidence."- "Doing things where your interests don't match is scarier than anything."- "A good dashboard always starts with a good backend."🎙️ ABOUT BEYOND RESUME:Beyond Resume explores the intersection of innovation and human experience in analytics and AI. Host Kausik Kumar sits down with leaders, rising talents, and change-makers to uncover the stories behind the resumes.📌 CONNECT WITH ANKITA DAS:LinkedIn: https://www.linkedin.com/in/ankita-das-7339aa123/📌 CONNECT WITH KAUSIK KUMAR:LinkedIn: https://www.linkedin.com/in/kausik-kumar-a2b5774/🔔 SUBSCRIBE for more conversations with analytics and AI leaders shaping the future of data.#BusinessIntelligence #DataVisualization #PowerBI #Tableau #CareerGrowth #Analytics #DataScience #BeyondResume #DataModeling #BIExpert

    16 分鐘

  5. 1月21日 · 附贈內容

    Factfulness: A Data Leader's Reminder to Look at Facts, Not Feelings

    "At a time when we're hearing lots of negativity, reading Factfulness and being reminded to think rationally and look at the facts was like a breath of fresh air." Lindsay Pellow on the book that challenged her biases - even after 25 years in data science. Factfulness by Hans Rosling starts with a quiz about global trends. Lindsay got a low score. Most people do. The data shows: - Lower percentage living in poverty now vs. 30-40 years ago - Higher percentage of girls completing school - Deaths from natural disasters less than half what they were 100 years ago The gap between what we believe and what the data shows is massive. Lindsay's insight: Even data professionals have biases that blind them to facts. "You learn about your own biases first, and I got a pretty low score." The reminder: Return to what we're supposed to be good at - looking at actual data, not our feelings about data. In a world of overwhelming negativity, Factfulness is evidence-based hope. Not wishful thinking. Measurable progress. The world has problems. But we're solving them faster than we think. From Beyond Resume with Kausik Kumar.

    1 分鐘

  6. 1月19日 · 附贈內容

    "Data + Tech Partnership: Why Customer Experience Needs Both (Not Competition)

    "A few years ago data was finally front and centre. Now developers are the group everyone wants. But we need both, working together, to develop better products." Lindsay Pellow on why data vs. tech competition misses the point. The problem she saw: Tech team building a platform that could count "how many customers did thing X" but not identify WHICH customers. Result? Can't understand how high-value customers use the product. Flying blind on whether tech drives value. The solution she implemented: Data team working alongside tech team from day one. Data professionals involved in choosing solutions, measuring impact, planning future value. Both teams learning from each other. Result: Smoother implementation. Better product. Lindsay's witnessed 25 years of evolution: from physical catalogues and call centres to the UK's biggest online retailer. Customer experience is now driven by technology - but only businesses using data to inform and understand that technology are truly succeeding. The trend: First data science was hot. Now developers are. The mistake: thinking it's either/or. The reality: we need both. From Beyond Resume with Kausik Kumar.

    4 分鐘

  7. 1月17日 · 附贈內容

    From Doctor Dreams to Data Science: The Serendipitous Start of a 25-Year Career

    "I only knew operational research from a test they gave me. But that test captured my interest - using maths to solve real problems." Lindsay Pellow on how a borrowed typewriter, her mum's timing, and a single test launched a 25-year data science career. She wanted to be a doctor. Didn't get the grades. Twice. Studied maths instead. Had no idea what to do after university. Then her mum, who worked in a call centre, spotted a job ad on the notice board - for an "operational research analyst." The closing date? That Friday. Lindsay asked if she could deliver her application over the weekend. They said yes. She typed a CV on a borrowed electronic typewriter (no computer at home), posted it through the door on Sunday. The format actually made it stand out. She still didn't know what operational research was. But they gave her a test: use data to solve fraud detection. The test captured her interest - the idea of using maths to solve real business problems. When asked in the interview "what does operational research mean to you," she could answer - because of that test. She got the job. The rest is history. 25 years later, she's one of the most loved leaders in data science. The lesson: The best careers often begin accidentally. Not with perfect plans, but with curiosity meeting opportunity. From Beyond Resume with Kausik Kumar.

    4 分鐘

  8. 1月14日

    The Most Loved Leader: Lindsay Pellow on 25 Years of Human-Centered Data Science

    "Put simply, be the leader you want to have." Lindsay Pellow on what makes someone a loved leader in data science - not just respected, but genuinely loved. Lindsay and I worked together at HSBC over a decade ago. She was one of the most loved leaders I've encountered. This conversation explores why, through 25 years of lessons in human-centered data science leadership. KEY TOPICS: - The accidental start: How a borrowed typewriter and her mum's timing launched a 25-year career - The Co-op lesson: Getting humbled when she focused on outcomes instead of understanding people's workload and priorities - Enabling teams: Why telling people what to do is boring and how to embrace their ideas instead - Adapting leadership style: Different 1-2-1 formats for different personalities - Data + Tech partnerships: Why both need to work together, not compete - Beyond revenue: Using data to measure social impact at a photography gallery - Building relationships: The most important skill in data science MEMORABLE MOMENTS: → "Several times my team members were saying 'but who's going to do the analysis?' and I was saying 'I can still code, you know!'" → "1-2-1s belong to the individual, not the manager" → "Anyone who is contributing is welcome - I don't believe in hierarchy" → "When team members technically surpass you and take over stakeholder relationships, that's a win-win" → "Be the gatekeeper when needed - your team needs to know you have their back" Lindsay's leadership philosophy isn't about grand vision speeches. It's about small, consistent choices: adapting to personalities, clearing obstacles, enabling growth, being transparent about strategy, and understanding that everyone works differently. Her career spans retail, financial services, affiliate marketing, and now the not-for-profit sector serving on a photography gallery board. She's seen data science evolve from mainframe printouts to real-time AI. But what hasn't changed: the importance of putting people first. If you're leading a team, building one, or wondering what human-centered leadership actually looks like in data science - this episode is for you. From Beyond Resume with Kausik Kumar - where careers and analytics come alive. Full episode available on all platforms.

    32 分鐘
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關於

Beyond Resume features real conversations with analytics and AI leaders about the parts that don't fit on a resume. The career-defining moments. The failures that taught more than wins. The human skills that drove success. Host Kausik Kumar (Leader Enterprise Data & AI, 20+ years) asks the questions you actually want answered: - How did they really get there? - What would they do differently? - What matters more than technical depth? 25 minutes. Zero corporate speak. Real talk for analytics professionals at any stage. New episodes bi-weekly.

資料

  • 創作者
    Kausik
  • 活躍年份
    2025年 - 2026年
  • 單集
    17
  • 分級
    兒童適宜
  • 版權
    © Kausik
  • 節目網站
    Beyond Resume