About me

Hi there, I'm Asif Sayyed.

I'm a problem solver and Data Science Specialist at Marsh McLennan, focused on turning raw data into clear, useful solutions. My background is in Data Science & Business Analytics, with professional experience in the insurance industry analyzing cyber risk.

I draw inspiration from the strategist Sun Tzu, who wrote, "In the midst of chaos, there is also opportunity." To me, data is that chaos. My work is to find the opportunity hidden within it.

What truly excites me isn't just analyzing data? it's building with it. I use tools like Python, SQL, and Databricks to create working applications that turn abstract numbers into something tangible that anyone can use.

Whether you're a fellow developer or just curious, I invite you to explore my projects below.

What i'm currently doing?

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    Corporate Overview

    Specialist - Data Science @ Marsh McLennan at the Cyber Risk and Intelligence Center (CRIC).

  • College Degree

    Academic Overview

    I have my Bachelors in Science, Data Science and Business Analytics from Mumbai University.

  • Prof. Awesh Bhornya

    Prof. Awesh Bhornya @SDBI

    I highly recommend Asif Sayyed as an exceptionally talented student. I had the pleasure of teaching him Excel, Excel VBA, and Power BI during the B. Sc in Data Science program. Asif's aptitude for these subjects is truly impressive, and his dedication to mastering them sets him apart. He approaches challenges with enthusiasm and consistently produces high-quality work. Asif's passion for data science is evident, and I have no doubt that he will excel in any future endeavors in this field.

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Education

    Experience

      GitHub Contributions

      Asifdotexe's GitHub Contribution Graph

      My Toolkit

      Programming & Databases

      • Python
      • R
      • SQL
      • NoSQL (MongoDB)
      • Scala

      Data Wrangling & Preprocessing

      • Pandas
      • NumPy
      • Web Scraping (BeautifulSoup)

      Data Analysis & Visualization

      • Matplotlib & Seaborn
      • Plotly & Dash
      • Tableau
      • Power BI
      • Streamlit
      • GraphViz

      Machine Learning & Modeling

      • Scikit-learn
      • XGBoost
      • StatsModels
      • Time Series Analysis

      Deep Learning

      • TensorFlow
      • PyTorch
      • Keras
      • NLP (NLTK, Spacy)
      • Computer Vision (OpenCV)

      Big Data Technologies

      • Spark (PySpark)
      • Databricks

      Cloud & MLOps

      • AWS (S3, SageMaker
      • Git & GitHub
      • Databricks

      Projects

        Certificates

        Events