About

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AayushMishra

I'mAspiring Data Scientist

About

I am an aspiring data scientist with a passion for leveraging data-driven insights to solve complex problems. I hold an M.Sc in Data Science, which has equipped me with a solid foundation in statistical analysis, machine learning, and data visualization.
My journey in the field of data science has provided me with the ability to not only derive insights from data but also effectively communicate these findings to both technical and non-technical stakeholders. I am a strong believer in the power of data storytelling and strive to convey complex concepts in a clear and concise manner, enabling decision-makers to make informed choices based on evidence-backed analysis.
I am a versatile professional skilled in both software testing and data science.

Contact Me!

Quality Assurance Tester (Analyst)

{Dec 2021 - Jan 2022}

  • Analyzing Test Case Design Documents based on the Functional Requirement Specifications to implement through Testing Process
  • Checking the workflow of software applications including Test Cases Design, Test Environment Setup, Test Data Setup, and test results, and looking out for the defects and tracking & communicating defects using tool like Jira
  • Inspecting applications through Responsive Website Testing on multi browsers like IE, Firefox, Chrome, and mobile phones (iOS, Android) and tablets (iOS, Android).
  • Strategy Formulation

    {Feb 2021 - ongoing}

  • Contributing to the formulation of strategies across multiple business units, distribution channels and product lines
  • Evaluating and formulating enhancement strategies to Project across all business un
  • Assisted in designing the internal website for agents and management during the entire SDLC Process.
  • Certificate

    {Jan 2021}

  • AWS Certificate Coursera
  • Applied Machine Learning Course, Applied Roots
  • Certificate in software Testing (manual/automation/database)
  • Goals

    Education

    Education

    My Education

    Says

    My Post-Graduate Diploma in Event Management, I gained comprehensive knowledge and practical skills in various aspects of event planning and execution. I learned event conceptualization, marketing, logistics management, team coordination, risk assessment, and post-event evaluation. I also specialized in data analysis, interpretation, and strategic decision-making, which are crucial in understanding the business aspects of event management.. Overall, the program equipped me with the expertise needed to excel in the dynamic field of event management. I had the opportunity to learn about the role of data in events. I gained insights into how data can be collected, analyzed, and utilized to enhance event planning and execution. Specifically,

    I learned about:

    Collection: Understanding different methods and tools for collecting data related to event attendees, their preferences, and feedback. This includes techniques such as surveys, registration forms, social media monitoring, and ticketing systems.
    Data Analysis: Learning how to analyze event data to derive valuable insights. This includes techniques such as data visualization, statistical analysis, and identifying patterns or trends in attendee behavior.
    Attendee Experience: Using data to improve the overall attendee experience by personalizing event content, optimizing event flow, and tailoring marketing efforts based on attendee preferences.
    Marketing and Promotion: Leveraging data insights to create targeted marketing campaigns, measure their effectiveness, and optimize promotional strategies to attract the desired audience.
    Evaluation:Using data to evaluate the success of events, measure key performance indicators (KPIs), and identify areas for improvement in future events.


    Master's In data science

    Chandigarh Univercity

    Course Modules: Analysis using SQL | Introduction to Python | Introduction to Machine Learning and Linear Regression
    Time Series Analysis | Telecom Churn Case Study | Lexical Processing | Syntactic Processing Business Problem Assignment
    Building Automated Data Pipelines with Oozie/Airflow | Analytics using PySpark.

    My Certificates



    I am thrilled to showcase my accomplishment of completing the Certificate in Getting Started with AWS Machine Learning, an online non-credit course authorized by Amazon Web Services (AWS) and offered through Coursera. This certificate demonstrates my proficiency in leveraging AWS services and tools to build and deploy machine learning models, enabling businesses to make data-driven decisions and gain valuable insights.

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    Through this comprehensive program, I acquired a solid foundation in both manual and core Java concepts. I gained practical knowledge in Java programming, object-oriented principles, data structures, algorithms, and software testing methodologies. The program also provided hands-on experience in designing and developing Java applications, debugging code, and implementing best coding practices.

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    I am delighted to showcase my achievement in completing the Certificate in Data Science, an online non-credit course authorized by IBM and offered through Coursera. This certificate signifies my dedication to acquiring comprehensive knowledge and practical skills in the field of Data Science, a rapidly evolving discipline at the intersection of statistics, mathematics, and computer science.

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    I am proud to showcase my accomplishment of completing the Certificate in Python for Data Science, AI & Development, an online non-credit course authorized by IBM and offered through Coursera. This certificate represents my expertise in utilizing Python programming for data analysis, artificial intelligence (AI), and software development, enabling me to tackle complex problems and deliver innovative solutions.

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    I am pleased to showcase my achievement in completing the Certificate in Swift Programming for Beginners, a comprehensive course offered by Udemy. This certificate represents my proficiency in Swift, the programming language used for developing applications for iOS, macOS, watchOS, and tvOS.

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