{"version":"1.0","type":"rich","provider_name":"Acast","provider_url":"https://acast.com","height":250,"width":700,"html":"<iframe src=\"https://embed.acast.com/$/688be508c6d705dd3a646cf7/695b4a47c4b2cc952c92edbb?\" frameBorder=\"0\" width=\"700\" height=\"250\"></iframe>","title":"How to Stand Out in a Crowded Talent Pool (Data + Career Strategy)","description":"<p>In this episode, Naveen sits down with <strong>Mahitha Sudhakar Voola</strong> to unpack how careers in tech can go far beyond the “software engineer” track—and how she discovered data analytics through a single course that changed her direction.</p><p><br></p><p>Mahitha shares how her interest in analytics started during her <strong>master’s program</strong>, when a friend pointed her toward the “next big thing” and a <strong>healthcare data analytics</strong> class made data feel instantly relatable. Working with real-world healthcare examples (like cancer stages and BMI) helped her connect the dots between technical skills and meaningful impact—especially because she had always seen healthcare as a purpose-driven field, even if she didn’t want to become a doctor.</p><p><br></p><p>From there, the conversation becomes a practical guide for students and early-career professionals. Mahitha explains what a real “lightbulb moment” feels like: not choosing a path for convenience (salary, remote work, hype), but finding something that <strong>organically pulls you in</strong>, makes you curious, and sparks the desire to learn more.</p><p><br></p><p>On career advice, she emphasizes two key phases:</p><ul><li><strong>During school:</strong> competition is intense, so you need a clear way to stand out—either by building a strong portfolio/projects or by choosing a university that gives you stronger networking and recruiting exposure.</li><li><strong>In your first job:</strong> your career <em>starts</em> after you get hired. Be proactive, explore different projects, find mentors, communicate your interests early, and keep learning through certifications and self-driven skill-building.</li></ul><p><br></p><p>Mahitha also talks candidly about <strong>self-advocacy</strong>—how shyness and self-doubt can hold you back early on, and how confidence grows through experience, recognition, and honest communication. Her definition of being proactive is simple and actionable: tell your manager what you want to learn, ask for work aligned with those interests, keep sharpening skills outside your day-to-day tasks, and take on challenges even when intimidated.</p><p><br></p><p>For continuous learning, she shares her top methods:</p><ul><li><strong>Online courses</strong> (Coursera, Udemy, LinkedIn Learning, YouTube)</li><li><strong>Newsletters + LinkedIn updates</strong> from people and companies she follows</li><li><strong>Certifications</strong> to validate and solidify skills</li><li><strong>Occasional meetups/webinars/conferences</strong> (when time allows)</li><li><strong>Hackathons/Kaggle</strong> as great portfolio builders (even if she hasn’t done them yet)</li></ul><p><br></p><p>Looking ahead, Mahitha’s biggest recommendation for anyone entering data is to build strong fundamentals:</p><ul><li><strong>SQL as the “bread and butter” foundation</strong> across data roles</li><li>Focus on <strong>problem-solving, data structures, algorithms, and pseudo-code</strong> because tools and languages change fast</li><li>For BI/visualization, she believes <strong>Power BI</strong> is a strong bet given Microsoft’s expanding ecosystem and AI integrations</li></ul><p><br></p><p>Mahitha closes by sharing that she keeps a low social profile and is easiest to find on <strong>LinkedIn</strong>, and Naveen hints at a future Part 2 to go deeper.</p><p><strong>Core takeaway:</strong> You don’t need to be a hardcore coder to build a strong tech career—follow what genuinely interests you, learn continuously, advocate for yourself, and anchor your growth in fundamentals that outlast any tool trend.</p>","author_name":"Naveen Kankate"}