76 Matching Annotations
  1. Aug 2023
    1. In conclusion, I believe that my diversity in background and experiences makes me an ideal candidate for this program

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    2. I am also considering to pursue a PhD in “Machine Learning & Data Analytics for IoT” based on my learnings from the MSc in Analytics.

      I am also considering pursuing a PhD in “Machine Learning & Data Analytics for IoT” based on my learnings from the MSc in Analytics.

    3. After graduation, I look forward to becoming an analytics expert and take up data scientist roles and continue to research further to the field of data sciences.

      After graduation, I look forward to becoming an analytics expert, taking up data scientist roles, and continuing to research further in the field of data sciences.

    4. The UChicago’s vast and in-depth curriculum across analytics verticals acts as a true differentiator from other universities.

      UChicago's vast and in-depth curriculum across analytics verticals acts as a true differentiator from other universities.

    5. While my experiences have introduced me to various tools and methods in analytics, expanding my knowledge base through new concepts and techniques remains critical

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    6. The research and patents of Professor Anil D. Chaturvedi continue to inspire me to further continue working on this and research in on Marketing Analytics.

      The research and patents of Professor Anil D. Chaturvedi continue to inspire me to further continue working on this and conduct research in Marketing Analytics.

    7. During my work on designing the CLTV and segmentation solution, I happened to visit Professor Anil D

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    8. We have filed a patent5,6 on this initiative with Intellectual Property India and completing PCT filing with World Intellectual Property Organization.

      We have filed a patent5,6 on this initiative with Intellectual Property India and are completing PCT filing with the World Intellectual Property Organization.

    9. Our device encompasses advanced technologies4 to accomplish this.

      Our device uses advanced technologies4 to accomplish this.

    10. We employ IoT3 to collect various data-points from every garbage bins in an area and help save costs by optimizing collection routes between overflowing bins.

      We employ IoT3 to collect various data-points from every garbage bin in an area and help save costs by optimizing collection routes between overflowing bins.

    11. I also worked towards my passion for contributing to social initiatives

      Great job following the STAR Format! Situation: The author was working on a project supporting the Government’s “Clean India Initiative” under the vision of the current Prime Minister, Mr. Narendra Modi. The project involved using IoT to collect various data-points from every garbage bin in an area. Task: The task was to optimize collection routes between overflowing bins, devise real-time digital advertising on bins, and develop an analytical algorithm that predicts the collection patterns for any given bin and the workforce required to clear it. Action: The author and their team employed IoT to collect data, devised real-time digital advertising on bins, and are developing an analytical algorithm. They also filed a patent on this initiative with Intellectual Property India and are completing PCT filing with World Intellectual Property Organization. Result: The first pilot implementation is active in Rajasthan, the largest state in India. The initial analysis based on this pilot shows that this system can save about 35% cost by just optimization of collection routes and workforce based on analytical systems built over real-time stream of data. This could potentially save about 4.5 billion USD annually across India, when implemented.

    12. As a graduate student at University of Chicago, I would continue learning essential management concepts and grow as a leader through capstone projects, corporate projects and aligned course as well as learn more about NLP courses from courses like “Natural Language Processing (NLP) and Cognitive”.

      As a graduate student at the University of Chicago, I will continue learning essential management concepts and grow as a leader through capstone projects, corporate projects, and aligned courses. I will also learn more about NLP from courses like "Natural Language Processing (NLP) and Cognitive".

    13. My work also involves project management and understanding and working with cross-functional technology and business teams while managing stringent timelines.

      My work also involves project management, understanding, and working with cross-functional technology and business teams while managing stringent timelines.

    14. If I had a deeper knowledge of NLP techniques, I could improve this bot extensively to even handle complex queries and also take up transactions like payments and change of subscription packages.

      If I had a deeper knowledge of NLP techniques, I could improve this bot significantly to handle complex queries and manage transactions such as payments and changes to subscription packages.

    15. I recently developed a conversational chatbot which handles FAQ based queries for one of the USA’s largest direct broadcast satellite service provider.

      I recently developed a conversational chatbot that handles FAQ-based queries for one of the USA's largest direct broadcast satellite service providers.

    16. Along with this, I am currently exploring other segments, where we focus on utilizing chatbots for conversations and hence further bring down the operation cost.

      Along with this, I am currently exploring other segments where we focus on utilizing chatbots for conversations, thereby further reducing operational costs.

    17. As a part of the Data Sciences group, we design models which identify customers who need assistance with their purchase, hence improving customer’s experience, engagement and conversions while lowering operational cost.

      As a part of the Data Sciences group, we design models that identify customers who need assistance with their purchases, thereby improving customers' experiences, engagement, and conversions while lowering operational costs.

    18. To understand the implementation of analytics in products, I moved to [24]7

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    19. This then led our client change the way they market to customers across both e-commerce and walk-in stores.

      This then led our client to change the way they market to customers across both e-commerce and walk-in stores.

    20. A particularly edifying experience was when I was leading a team working on an important marketing analytics assignment for one of world’s largest retailer’s ecommerce business.

      A particularly edifying experience was when I was leading a team working on an important marketing analytics assignment for one of the world’s largest retailers' ecommerce business.

    21. A particularly edifying experience was when I was leading a team working on an important marketing analytics assignment for one of world’s largest retailer’s ecommerce business

      Great job following the STAR Format! Situation: The situation was when the individual was leading a team working on a marketing analytics assignment for a large retailer's ecommerce business. The task was to determine customer lifetime value (CLTV) and predict future purchase trends. Task: The task was to implement a solution using Hadoop and Spark due to the retailer's large customer base and build a segmentation model to cluster customers based on various parameters. Action: The action taken was the implementation of the solution using statistical techniques and Hadoop and Spark. The team also built a segmentation model to cluster customers based on demographics, household parameters, and CLTV parameters. Result: The result was a significant increase in CTR on email and social media, a decrease in un-subscriptions rate, and a change in the client's marketing approach. However, the individual realized that a deeper understanding of the underlying algorithms could have led to an even better solution. This realization led to the decision to pursue a Masters in Analytics program at The University of Chicago.

    22. During my engineering, I was involved in a lot of conferences and projects using data analytics

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    23. I secured the highest score in my school for Computer Science and this lead me further to my under-graduation in Information Science engineering in 2010.

      I secured the highest score in my school for Computer Science, which led me to pursue my undergraduate degree in Information Science Engineering in 2010.

    24. While I always loved solving probability and statistics questions during my high school, I also developed a niche for technology when my computer science teacher used to challenge me to solve using difficult programming questions like Adaptive quiz system, library management system, and Sudoku solver.

      While I always loved solving probability and statistics questions in high school, I also developed a niche for technology when my computer science teacher used to challenge me with difficult programming tasks like creating an Adaptive Quiz System, Library Management System, and Sudoku Solver.

    25. While I always loved solving probability and statistics questions during my high school, I also developed a niche for technology when my computer science teacher used to challenge me to solve using difficult programming questions like Adaptive quiz system, library management system, and Sudoku solver

      STAR Format is not Followed. Review suggestions here: markup

    26. Big data and Analytics have revolutionized industries across the world – We see it span across Insurance, Retail, Hospitality and many more sectors

      STAR Format is not Followed. Review suggestions here: markup

    27. While I always loved solving probability and statistics questions during my high school, I also developed a niche for technology when my computer science teacher used to challenge me to solve using difficult programming questions like Adaptive quiz system, library management system, and Sudoku solver.

      While I always loved solving probability and statistics questions in high school, I also developed a niche for technology when my computer science teacher used to challenge me with difficult programming tasks like creating an Adaptive Quiz System, Library Management System, and Sudoku Solver.

    28. While I always loved solving probability and statistics questions during my high school, I also developed a niche for technology when my computer science teacher used to challenge me to solve using difficult programming questions like Adaptive quiz system, library management system, and Sudoku solver

      STAR Format is not Followed. Review suggestions here: markup

    29. Big data and Analytics have revolutionized industries across the world – We see it span across Insurance, Retail, Hospitality and many more sectors

      STAR Format is not Followed. Review suggestions here: markup

    30. While I always loved solving probability and statistics questions during my high school, I also developed a niche for technology when my computer science teacher used to challenge me to solve using difficult programming questions like Adaptive quiz system, library management system, and Sudoku solver.

      While I always loved solving probability and statistics questions in high school, I also developed a niche for technology when my computer science teacher used to challenge me with difficult programming tasks like creating an Adaptive Quiz System, Library Management System, and Sudoku Solver.

    31. While I always loved solving probability and statistics questions during my high school, I also developed a niche for technology when my computer science teacher used to challenge me to solve using difficult programming questions like Adaptive quiz system, library management system, and Sudoku solver

      STAR Format is not Followed. Review suggestions here: markup

    32. Big data and Analytics have revolutionized industries across the world – We see it span across Insurance, Retail, Hospitality and many more sectors

      STAR Format is not Followed. Review suggestions here: markup

    33. While I always loved solving probability and statistics questions during my high school, I also developed a niche for technology when my computer science teacher used to challenge me to solve using difficult programming questions like Adaptive quiz system, library management system, and Sudoku solver.

      While I always loved solving probability and statistics questions in high school, I also developed a niche for technology when my computer science teacher used to challenge me with difficult programming tasks like creating an Adaptive Quiz System, Library Management System, and Sudoku Solver.

    34. While I always loved solving probability and statistics questions during my high school, I also developed a niche for technology when my computer science teacher used to challenge me to solve using difficult programming questions like Adaptive quiz system, library management system, and Sudoku solver

      STAR Format is not Followed. Review suggestions here: markup

    35. Big data and Analytics have revolutionized industries across the world – We see it span across Insurance, Retail, Hospitality and many more sectors

      STAR Format is not Followed. Review suggestions here: markup

    36. Big data and Analytics have revolutionized industries across the world – We see it span across Insurance, Retail, Hospitality and many more sectors

      STAR Format is not Followed. Review suggestions here: markup

    37. To understand the implementation of analytics in products, I moved to [24]7

      STAR Format is not Followed. Review suggestions here: markup

    38. This then led our client change the way they market to customers across both e-commerce and walk-in stores.

      This then led our client to change the way they market to customers across both e-commerce and walk-in stores.

    39. A particularly edifying experience was when I was leading a team working on an important marketing analytics assignment for one of world’s largest retailer’s ecommerce business.

      A particularly edifying experience was when I was leading a team working on an important marketing analytics assignment for one of the world’s largest retailers' ecommerce business.

    40. A particularly edifying experience was when I was leading a team working on an important marketing analytics assignment for one of world’s largest retailer’s ecommerce business

      Great job following the STAR Format! Situation: The situation was when the individual was leading a team working on a marketing analytics assignment for a large retailer's ecommerce business. The task was to determine customer lifetime value (CLTV) and predict future purchase trends. Task: The task was to implement a solution using Hadoop and Spark due to the retailer's large customer base and build a segmentation model to cluster customers based on various parameters. Action: The action taken was the implementation of the solution using statistical techniques and Hadoop and Spark. The team also built a segmentation model to cluster customers based on demographics, household parameters, and CLTV parameters. Result: The result was a significant increase in CTR on email and social media, a decrease in un-subscriptions rate, and a change in the client's marketing approach. However, the individual realized that a deeper understanding of the underlying algorithms could have led to an even better solution. This realization led to the decision to pursue a Masters in Analytics program at The University of Chicago.

    41. During my engineering, I was involved in a lot of conferences and projects using data analytics

      STAR Format is not Followed. Review suggestions here: markup

    42. I secured the highest score in my school for Computer Science and this lead me further to my under-graduation in Information Science engineering in 2010.

      I secured the highest score in my school for Computer Science, which led me to pursue my undergraduate degree in Information Science Engineering in 2010.

    43. While I always loved solving probability and statistics questions during my high school, I also developed a niche for technology when my computer science teacher used to challenge me to solve using difficult programming questions like Adaptive quiz system, library management system, and Sudoku solver.

      While I always loved solving probability and statistics questions in high school, I also developed a niche for technology when my computer science teacher used to challenge me with difficult programming tasks like creating an Adaptive Quiz System, Library Management System, and Sudoku Solver.

    44. While I always loved solving probability and statistics questions during my high school, I also developed a niche for technology when my computer science teacher used to challenge me to solve using difficult programming questions like Adaptive quiz system, library management system, and Sudoku solver

      STAR Format is not Followed. Review suggestions here: markup

    45. Big data and Analytics have revolutionized industries across the world – We see it span across Insurance, Retail, Hospitality and many more sectors

      STAR Format is not Followed. Review suggestions here: markup

    46. Big data and Analytics have revolutionized industries across the world – We see it span across Insurance, Retail, Hospitality and many more sectors

      STAR Format is not Followed. Review suggestions here: markup

  2. createanyai.sharepoint.com createanyai.sharepoint.com
    1. he success of this project resulted in a significant increase in electricity generation of 14- 18%. This intersection of programming, the data generated in the electrical systems, and the experience gathered from hands-on

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    2. he success of this project resulted in a significant increase in electricity generation of 14- 18%. This intersection of programming, the data generated in the electrical systems, and the experience gathered from hands-on

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    3. he success of this project resulted in a significant increase in electricity generation of 14- 18%. This intersection of programming, the data generated in the electrical systems, and the experience gathered from hands-on

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  3. createanyai.sharepoint.com createanyai.sharepoint.com
    1. he success of this project resulted in a significant increase in electricity generation of 14- 18%. This intersection of programming, the data generated in the electrical systems, and the experience gathered from hands-on

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  4. createanyai.sharepoint.com createanyai.sharepoint.com
    1. he success of this project resulted in a significant increase in electricity generation of 14- 18%. This intersection of programming, the data generated in the electrical systems, and the experience gathered from hands-on

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    2. he success of this project resulted in a significant increase in electricity generation of 14- 18%. This intersection of programming, the data generated in the electrical systems, and the experience gathered from hands-on

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  5. createanyai.sharepoint.com createanyai.sharepoint.com
    1. he success of this project resulted in a significant increase in electricity generation of 14- 18%. This intersection of programming, the data generated in the electrical systems, and the experience gathered from hands-on

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    1. he success of this project resulted in a significant increase in electricity generation of 14- 18%. This intersection of programming, the data generated in the electrical systems, and the experience gathered from hands-on

      This is standard BS. Add some meat markup

    2. he success of this project resulted in a significant increase in electricity generation of 14- 18%. This intersection of programming, the data generated in the electrical systems, and the experience gathered from hands-on

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  6. createanyai.sharepoint.com createanyai.sharepoint.com
    1. during bachelors was on Solar Rooftop System, solar panels optimized to capture maximum sunlight to generate electricity, the success of this project resulted in a significant increase in electricity generation of 14-18%. This intersection of programming, the data generated in the electrical systems, and the experience gathered from hands-on engineering projects motivated me to enter the field of informationtechnology, and I was drawn to an opportunity to work for

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    2. during bachelors was on Solar Rooftop System, solar panels optimized to capture maximum sunlight to generate electricity, the success of this project resulted in a significant increase in electricity generation of 14-18%. This intersection of programming, the data generated in the electrical systems, and the experience gathered from hands-on engineering projects motivated me to enter the field of informationtechnology, and I was drawn to an opportunity to work for

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    3. during bachelors was on Solar Rooftop System, solar panels optimized to capture maximum sunlight to generate electricity, the success of this project resulted in a significant increase in electricity generation of 14-18%. This intersection of programming, the data generated in the electrical systems, and the experience gathered from hands-on engineering projects motivated me to enter the field of informationtechnology, and I was drawn to an opportunity to work for

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    4. This is stardard BS. Add some meat markup

    5. analysis and visualization, enabling me to effectively analyse massive volumes of transactional data and generate detailed reports for

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    6. analysis and visualization, enabling me to effectively analyse massive volumes of transactional data and generate detailed reports for

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  7. createanyai.sharepoint.com createanyai.sharepoint.com
    1. exactly as created, regardless of fonts, software, and operating systems

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    1. exactly as created, regardless of fonts, software, and operating systems

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  9. createanyai-my.sharepoint.com createanyai-my.sharepoint.com
    1. exactly as created, regardless of fonts, software, and operating systems

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    1. exactly as created, regardless of fonts, software, and operating systems

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    2. exactly as created, regardless of fonts, software, and operating systems

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    3. , zzzzz. And more text. And more

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    4. , zzzzz. And more text. And more

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    1. produce the same PDF with a

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