In this episode of Wisdom Whispers, hosted by Abhishek Mittal, we dive into the inspiring journey of Anita Sachdeva, a renowned data science expert with nearly two decades of experience. The conversation unveils Anita's personal and professional evolution, from her initial love for mathematics to overcoming societal barriers and finally establishing herself in the field of analytics. Anita shares valuable insights on the importance of continuous learning, the blend of hard and soft skills necessary for thriving in data analytics, and the future prospects shaped by emerging technologies like Python, SQL, and data visualization tools. Furthermore, Anita emphasizes the significance of guided learning and mentorship for navigating the ever-evolving landscape of data science. The episode is rich with practical advice for budding data analytics professionals, focusing on the integration of technical proficiency with leadership qualities to foster a successful career.

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Abhishek Mittal is a seasoned M&A professional with over 18 years of experience in management consulting. He has worked on multi-billion dollar deals across various industries and geographies, leading and managing teams of consultants. He has also taught at one of India’s top business schools, sharing his practical knowledge with aspiring leaders. Abhishek has a wide range of skills and specializes in M&A operations, such as project and program management, operating model design, process improvement, synergy analysis, and operational due diligence. He is a trusted advisor and thought leader known for his excellence and strategic vision. Disclaimer: The views, information, or opinions expressed during this podcast are solely those of the hosts and/or guests appearing on the podcast. Under no circumstances will the host or the guest assume direct or indirect, special or consequential responsibility or liability or other damages which may arise from any individual’s use of, reference to, reliance on views, information, or opinions expressed by the guest including but not limited to claims for defamation, libel, slander, infringement, invasion of privacy and publicity rights, obscenity, pornography, profanity, fraud, or misrepresentation of this podcast or information presented in this podcast. No identification with actual persons (living or deceased), places, buildings, and products are intended or should be inferred and any resemblance to actual events is entirely coincidental. Any views or opinions in the podcast are not intended to malign any religion, ethnic group, club, organization, or individual.