Data Scientist Statistician Data Analyst

Data is ‘The Gauntlet’ that has the Infinity Stones for revolutionizing the world.

Hello there! My name is Dharun Suryaa Nagarajan. I am a padawan Data Scientist and a graduate student at Northeastern University. I have a deep interest in applied machine learning and computer vision to enable data driven decision making and automation across various business domains.
As a Data Scientist, I possess valuable industry experience leveraging advanced data science techniques including statistics, data mining, programming, and machine learning across diverse data types. My expertise extends across Marketing, Traffic, Acquisition, healthcare and Sales. I excel in adapting to emerging technologies and expanding my knowledge base. Additionally, I have a proven track record in stakeholder management and delivering actionable business insights. I am passionate about developing complex applications that solve real-world problems impacting millions of users.
Looking for an opportunity to work in a challenging position using my skills in Data Science , which provides professional development, interesting experiences and personal growth.

Professional Resume

About Myself

Job Search

Projects

Gmail Extension Ad Classifier

  • Used Typescript and google client API to create an Extension that reads all the mails on a user’s single page.
  • Used an ensemble model of Logistic Regression, Gaussian Naïve Bayes, and Random Forest to classify emails as and
    add with a 91% accuracy and a value of 0.868 as the AUC

British Airways Customer Experience

  • Scraped 3k+ BA user reviews on Sky Track site and applied schema standardization, format detox and data cleansing.
  • Carried out EDA (Data wrangling, Missing value detection, Outlier Rectification) to prep data as source to PowerBI.
  • Based on metric wireframe, crafted a stakeholder friendly PowerBI report on the curated insights from reviews.

Technical Skills:

  • Languages: Python, C++ ,R , SQL
  • Libraries: NumPy, Pandas, Matplotlib, Seaborn, Sklearn, SpaCy, OpenCV, PySpark.
  • Frameworks: Flask, Django, Keras, TensorFlow, PyTorch.
  • Tools & Technologies: Git, Snowflake, Databricks, Data Studio, MS PowerBI, Excel, Google Sheets, AWS S3.

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