Nikita Rathi

In our latest Conversations on Data episode, Havish Madhvapaty hosted Siddharth Vats (CPA, MBA), Vice President at MUFG, New York. This episode dives deep into Siddharth's inspiring journey in finance and regulatory reporting, his insights on career growth, and the importance of communication and adaptability in today’s fast-paced world. 🌍💼 📌 From breaking down complex concepts in financial analysis to exploring the evolving landscape of technology and automation in finance, Siddharth shares invaluable advice for students, new graduates, and professionals alike. This conversation is packed with practical insights and a few thought-provoking reflections on professional and personal growth. Don't miss out on his perspectives on building resilience, expanding skill sets, and finding balance between ambition and adaptability. ✨ Havish M Consulting

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Casual AI ups the ante by using the concept of causality rather than correlation. Very informative blog with concepts explained through real life examples.

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I am enjoying these customized donut charts by Shreya Arya. It is a reminder that combining charts with images is a great visual strategy to tell a story. It can make a graph much more memorable. https://lnkd.in/g25yzdrv #vizoftheday

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Team story: X is the smartest member of the team. Make sure to take care of him, Vivek! From 2015 to 2018, while working at ZS, my manager often said this about the "smartest" team members. He believed in giving them high-end tasks to keep them engaged. Over these three years, there were five such “smartest” resources at various time interval out of a 15-member team. Interestingly, these top performers left within 1 to 1.5 years, while "regular" stayed for three years or more. These “smartest” resources handled 20% of the revenue-generating ad-hoc analytics work, while the "regular" resources managed 80% of the revenue generating work, i.e. operational tasks. In 2018, with no “smartest” resources left, I advocated for a "regular" team member to take on an ad-hoc analytics project. My manager reluctantly agreed, and after working on the IC design project, he realized that this "regular" team member was also highly capable. I then explained to my manager that everyone at ZS is smart. Some are just more outspoken and quick to grasp things (termed by him as "smart"), but that doesn’t mean "regular" can’t rise to the challenge. It's just that the “smartest” resources kept getting ad-hoc work and work directly with the manager, which made them better at it and more valued in the manager’s eyes, while the "regular" resources were undervalued. This is a classic example of “perception bias” and how it led to a “self-fulfilling prophecy.” P.S. I was also considered a “regular” resource by him, and I was perfectly fine with that to avoid working with him directly! And honestly, I’m not that smart - my wife can vouch for it! 😃

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We should improve on the front of the trade deficit, as it is hurting our economy very badly. Specifically, India should look for opportunities to target potential markets like the European Union and Russia. India has the potential to target automobile, pharmaceutical, and agricultural products in these two markets especially. First and foremost, India should at least reach a balanced trade and continuously focus on improving towards a trade surplus.

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Honored to be recognized by AIM Research as one of the 100 Most Influential AI Leaders. Truly humbled and honored by this great gesture. It has been a long journey though but with ever changing analytics it is truly just a start. Thank you to AIM Research and Congratulations to all my fellow AI and analytics practitioners and contributors who has been part of this journey. Let’s keep pushing the boundaries of what’s possible! https://lnkd.in/ggyykX44 #AI #Innovation #Leadership #Recognition #AIMResearch #AMPBA #IIDS #Analytics #AIM #ArtificialIntelligence #ISB Feel free to connect with me for any discussions on Analytics and Digital Transformation. Preksha Jain Sejuti Das

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Very useful summary here!

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Question : Why does an AI product manager need to monitor #AI model❓ Once AI model is developed and deployed, the job doesnt end there. Model encodes pattern of the data it has seen during training phase. There may be several patterns or edge cases which are not part of training data. If model encounters any such patterns in testing or production phase, it will produce results which wont make sense without giving any warning about it. 👉 Data drift is a common challenge faced by AI-powered products. Over time, the distribution of input data can shift, leading to a mismatch between the model's training data and the real-world data it encounters. This can result in degraded model performance, unexpected outputs, and even complete model failure. 👉 The consequences of data drift can be severe, ranging from suboptimal user experiences to regulatory compliance issues. Product managers must be vigilant in detecting and addressing these challenges to ensure the continued success of their AI-powered offerings. 👉 Sudden changes in metrics can indicate input data drift. Additionally, monitoring the distribution of model outputs can reveal output drift, which may signal a need to retrain or fine-tune the model. Detecting data drift early is crucial. Product managers can leverage techniques such as A/B testing, anomaly detection, and continuous monitoring to identify and address these issues. Once detected, the product team can take appropriate actions, such as retraining the model, adjusting the data pipeline, or even considering a model architecture change. 💡 Quick Tip: Integrate model monitoring into your product roadmap and allocate dedicated resources to ensure the long-term success of your AI-powered offerings. Establish a comprehensive model monitoring dashboard to gain real-time visibility into the health and performance of your AI models. #artificialintelligence #productmanagement #datascience #productmanager

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India's Economic Transformation: A Vision for 2050 – Dr Vijay Varadi Abstract This article explores a comprehensive vision for India's economic transformation by 2050, driven by four strategic recommendations: eradicating caste and religious barriers, fostering peaceful relations and reducing trade dependency, eliminating direct taxation to encourage a consumption-based economy, and adopting new technologies within a secure framework. By addressing caste and religion-based discrimination, India can enhance social cohesion, reduce internal conflicts, and unlock the full potential of its diverse population, thereby boosting human capital and economic growth. Promoting peace with neighboring countries and focusing on internal production for export-led growth can create a stable geopolitical environment and enhance economic resilience. Shifting to a consumption-driven economic model by eradicating direct taxes can stimulate consumer spending and production activity, driving economic expansion. Embracing cutting-edge technologies can boost productivity and innovation, positioning India as a global technology leader. With the successful implementation of these recommendations, India is projected to become one of the top three global economies by 2050, marked by robust economic growth, social unity, and technological advancements. This article integrates insights from various academic and non-academic sources, providing a comprehensive and unique perspective on India's potential economic trajectory. read full paper here: https://lnkd.in/garn2We4

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Nitin Seth's book "Mastering the Data Paradox: Key to Winning in the AI Age" delves into the crucial role of data in the era of artificial intelligence and provides actionable insights for organizations to effectively leverage data and gain a competitive edge. Here are seven key lessons from the book: 1. Data as a Driving Force: The book highlights the emergence of a data-first world, where data has become a central driving force shaping industries and fueling innovation. It emphasizes the importance of recognizing the value and potential of data in driving business success 2. Navigating Data Paradoxes: Nitin Seth explores the complexities and paradoxes associated with data. Despite the abundance of data, actionable insights can be scarce. The book provides strategies and frameworks to navigate these paradoxes and effectively harness the power of data 3. Data as a Strategic Asset: Seth emphasizes the need to view data as a strategic asset. He explores how organizations can turn data into a valuable resource and leverage it to drive innovation, make informed decisions, and achieve success 4. The Role of Artificial Intelligence: The book discusses the dawn of the AI age and the role of artificial intelligence in leveraging data effectively. It explores the potential of AI technologies such as machine learning, predictive analytics, and IoT in driving innovation and staying ahead of the curve 5. Future Trends and Opportunities: Nitin Seth explores emerging trends and technologies that are shaping the future of data and AI. From advancements in machine learning to the rise of edge computing, the book identifies key trends and opportunities for organizations to capitalize on in the AI age 6. Data Literacy and Culture: The book emphasizes the importance of fostering a data-centric culture within organizations. It highlights the need for data literacy and the development of a data-driven mindset at all levels of an organization to effectively leverage data 7. The Unified Solution Framework: Nitin Seth proposes a thirteen-component solution framework called the Unified Solution Framework (USF) to help organizations succeed in the data-first world and the AI age. The framework provides a comprehensive approach to harnessing the power of data and driving business success These lessons from "Mastering the Data Paradox: Key to Winning in the AI Age" provide valuable insights into the pivotal role of data in the AI age and offer actionable strategies for organizations to effectively leverage data and gain a competitive edge. By understanding the complexities of data, embracing AI technologies, and fostering a data-driven culture, organizations can navigate the data paradox and harness the power of data for innovation and success.

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I have been asked by many #datascience , #aiml #professional and #enthusiast , What is the benefit of getting a Master Degree from premiere institute. I did my Master from Indian School of Business (AMPBA) and I feel fortunate to be the part of this Journey and I can list out some of the reasons below. 1. Quality of Education: Premier institutes are known for their excellent faculty, infrastructure, and academic resources. They provide high-quality education that equips students with the necessary knowledge, skills, and practical exposure required for their chosen profession. 2. Industry Recognition: Degrees and certifications from premier institutes are highly valued and recognized by employers and organizations. Graduates from such institutes are often sought after due to the rigorous training and qualifications they possess. 3. Networking Opportunities: Premier institutes offer excellent networking opportunities, allowing students to interact with industry professionals, attend seminars, and participate in events. These connections can be invaluable for future career prospects and professional growth. 4. Specialized Expertise: Premier institutes often have specialized programs or concentrations in specific fields, allowing students to gain in-depth knowledge and expertise in their area of interest. This specialized knowledge can give them a competitive edge in the job market. 5. Skill Development: Premier institutes emphasize not only theoretical knowledge but also practical skill development. They provide opportunities for internships, projects, and hands-on training, which help students develop essential skills required in their respective professions. 6. Personal Growth: The challenging academic environment and exposure to diverse perspectives at premier institutes foster personal growth, critical thinking, and problem-solving abilities, which are invaluable assets in any professional field. 7. Career Advancement: A degree or certification from a premier institute can open doors to better job opportunities, higher salaries, and faster career advancement. Employers often recognize the value of education from respected institutions. 8. Reputation and Prestige: Attending a premier institute carries a certain level of prestige and reputation, which can be beneficial for both personal and professional growth. It can enhance an individual's credibility and standing in their chosen field. While the investment in professional education from a premier institute may be substantial, the potential benefits in terms of knowledge, skills, networking opportunities, and career prospects often make it a worthwhile investment for individuals seeking professional growth and success. I am fortunate to meet professors like vijaya marisetty Subodha Kumar Manish Gupta Shailesh Kumar Niyati Chhaya to name a few. Thanks to BNY Mellon for sponsored me. Follow Bijan Dash for great insight and help. ISB Institute of Data Science (IIDS)

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Thrilled to receive the Applied Analytics Using SAS Enterprise Miner badge from SAS! 🎉 Excited to continue honing my skills in data analytics and leveraging SAS tools for insightful solutions. Thank you, SAS! #DataAnalytics #SAS #ContinuousLearning"

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Something I've written on how a T20 batting innings can be assessed. This framework can be extended to assessment of individual players as well, which I will do in the susequent posts. For now, please feel free to comment and if you like the content, please subscribe. #cricket #cricketanalytics #data #dashboards #datavisualization #sportsanalytics https://lnkd.in/gb7T-UzJ

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Reality of data analys career in 2024 Recorded an unfiltered discussion with industry experts Summarizing it in my own words (long read) [1] Data analytics is not just about building dashboard in 15 minutes or 1 hour. It is just a minor part of data analyst work. Most "influencers" are fantasizing it to make it appear so easy for vulnerable people for their own benefits. [2] It is not that easy for freshers or anyone to get a DA job as it is glorified on the internet. As of Aug 2024 there is a huge competition and limited roles. A fresher should do something outstanding to get recruiters attention- like having a solid project portfolio, online credibility on LinkedIn, cold emailing, messaging on LinkedIn to get recommendations etc. [3] Do not buy any paid course directly if you have no idea about this field. Spend 3-4 days and do solid research. Learn from free resources first to understand if you like this role, do more research about market condition. Most importantly do not blindly believe anyone on the internet - do your own research. [4] Offline networking can be a game changer for both freshers, people with career break and experienced people wanting to transition career. Check for the offline events near your place and join them. [5] 100 % Job guarantee, pay after placement, get 24 LPA - all these are scams running in the market. If you do not pay time extra for research you will loose both your money and time. [6] Domain knowledge is key. Freshers can domain knowledge by starting with business KPIs, understanding the business process behind the apps use, checking customer stories on Microsoft, following case studies, solving unguided projects (check codebasics resume project challenges. This won't completely replace the need for practical experience but it will be better than having no experience. [7] People with career gap or transitioning career should try to combine their past domain experience with their tool skills to make a strong resume and apply for roles particular to that domain. For example, a person with sales experience in telecom domain should have projects particular to that domain/function to show relevant experience and also maintain the salary range. There are more insights check the full video on YT if you are interested. Please spread this in your network so that it would reach the "insta aspirants" too. They are the most vulnerabale and often targeted by scammers.

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Organizations will move from experimentation to the pursuit of bottom-line gains, according to Forrester's 2025 predictions. Highlights include: ✔️ The evolution of genAI and a focus on ROI ✔️ Cybercrime expected to cost $12 trillion in 2025 ✔️ Lessons on how customer trust will be won and lost across the globe ✔️ Investment to unify data for the loyalty and marketing tech stacks will triple. ✔️ Private cloud will gain momentum with VMWare alternatives ✔️ Tech execs trying to reduce tech debt will triple the adoption of AIOps https://lnkd.in/ebkXTDq2 Get free access to insights that will shape business and technology strategy in 2025. https://lnkd.in/ebkXTDq2

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🏆 Winners of Data Odyssey 🏆 Breaking news: Team Chop The Data (aka the data warriors featuring Areej Aasna, Sukanta Bala, and yours truly) has officially chopped its way to the Championship title 🥇 at Data Odyssey, an Analytics Case Study Competition by T A Pai Management Institute, Manipal! 🎉 Out of 320+ teams, we stood tall—armed with machine learning models, predictive analytics wizardry, and enough coffee to power a small city. ☕🔮 Our task? Tame a wild dataset, unleash actionable insights, and present strategies sharper than Sukanta's Excel shortcuts! The competition challenged our creative problem-solving and teamwork skills, blending technical excellence with strategic business acumen (with a sprinkle of last-minute panic 😅). Special thanks to Prof. Amlan Chakrabarti for his valuable encouragement, and Dola Bhattacharjee Gupta for her unwavering guidance throughout our journey. Your support truly made a difference and inspired us to push our limits! 🙏 Highlights? Machine learning predictions so good they could almost predict our lunch options. Business strategies that made data come alive (seriously, the visuals practically danced!). A balance of analytics, storytelling, and power naps! 💤 Huge thanks to TAPMI Analytics Forum for being stellar hosts and giving us this platform to flex our data muscles. And yes, the buffet deserves its own award 🥗🏅. This journey was proof that when you mix a dash of humor, a splash of tech, and a heap of teamwork, magic happens! Looking forward to more adventures in data, learning, and competitions (and maybe upgrading from coffee to something stronger for the stress 🥲). #DataScience #MachineLearning #PredictiveAnalytics #Hackathons #Teamwork #HumorMe #DataOdyssey

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Hello #LinkedIn Community, Ajay Vishnu Addala is my dear friend and is actively looking for opportunities in Data Analytics and Visualization field. His professional portfolio speaks volumes about his analytical and visualization capabilities but I would like to highlight the emotional quotient of Ajay through this post. I've had the pleasure of knowing Ajay since 2015, and throughout our college days, he consistently stood out in several remarkable ways. Empathy: Ajay's empathy knows no bounds. Whether it was lending a helping hand during the 2018 floods or guiding peers through both academic and personal challenges, he consistently goes above and beyond to support those around him. Getting Things Done: Ajay is the epitome of perseverance and dedication. He approaches every task with a commitment to excellence, ensuring that timelines are met without compromising on quality, regardless of any hurdles along the way. Leadership: Ajay's leadership shines brightly in both academic and extracurricular pursuits. From leading Kabaddi sports team, Street play team in college to spearheading initiatives with organizations like Dreams Alive Foundation (an NGO by NIT Calicut alumni to give back to the society) along with his profession, he has a passion for driving positive change and isn't afraid to take risks to make it happen. In conclusion, Ajay's portfolio speaks volumes about his analytical and visualization capabilities but I wanted to bring these aspects to the broader LinkedIn connections. So If you're looking for someone who embodies empathy, gets things done with precision, and leads with passion, I highly recommend reaching out to him for any job opportunities. Trust me, you won't be disappointed. #JobSeeker, #HiringNow, #CareerOpportunity, #USJobs, #JobSearch, #JobHunt, #Employment, #NowHiring, #JobOpening, #CareerChange, #JobPosting, #CareerDevelopment, #JobOpportunity, #WorkOpportunity, #JobSearchUSA, #JobsInAmerica, #JobAlert, #CareerGrowth, #JobApplication, #AnalyticsJobs, #PythonJobs, #SQLJobs, #TableauJobs, #DataAnalytics, #DataScience, #DataJobs, #DataVisualization, #PythonProgramming, #SQLSkills, #Tableau, #DataAnalysisCareer, #AnalyticsCareer, #PowerBI #VisualAnalytics

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Another great talk from the PyData London 2024 - Backtesting and error metrics for modern time series forecasting by Kishan Manani Backtesting is the time series forecasting equivalent to the machine learning cross-validation approach for training and testing models. https://lnkd.in/g-DWgqmB #timeseries #forecasting #machinelearning #python

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