SK

Santhiya K

B.Tech CSBS graduate · Aspiring Software Developer / Data Analyst

Puducherry, India

@ksanthiya1

0 followers

Looking for jobs Looking for internships Open to relocating

About

Computer Science graduate with hands-on experience in Python, SQL, machine learning, data analysis, and web development through academic projects and internships. Quick learner seeking an entry-level role in software development, data analytics, or related tech domains.

Experience

  • Data Analyst Intern
    Bluestock Fintech
    — – Present

    Working on data analysis tasks for a FinTech company, applying Excel, SQL, Python, and Power BI to analyze sales performance and business metrics. Built dashboards and reports covering data cleaning, KPI tracking, and trend analysis using real-world datasets.

  • Web Development & Python Intern
    Nexgen Technology
    2023 – 2023

    Completed internships in Python Programming and Web Development under senior developer guidance. Developed a functional website, focusing on structure, styling, and responsiveness.

Education

  • B.Tech in Computer Science and Business Systems
    Computer Science And Business Systems · May 2026
  • 12th Grade
    Amalorpavam Higher Secondary School
    May 2022

Skills

1 to 2 years 1 to 2 years A year or two of steady use.
<3 months <3 months Just getting started - under three months. This is also what shows when a level has not been set.

Tools / apps / platforms

<3 months <3 months Just getting started - under three months. This is also what shows when a level has not been set.
Git MySQL GitHub Microsoft Excel MySQL Workbench Jupyter Notebook Microsoft Power BI

Projects

  • Customer Segmentation and Recommendations System
    Python, Scikit-learn, Pandas, Jupyter Notebook

    Built a clustering-based recommendation engine that groups users by behavioral patterns and generates personalized product suggestions. Implemented and compared K-Means and Hierarchical Clustering with similarity measures to improve recommendation relevance. Ran end-to-end data preprocessing, feature engineering, and exploratory data analysis to prepare the modeling dataset.

  • Decoding Live Malware Actions Using Ensemble Learning Model
    Python, TensorFlow, CNN, OpenCV, NumPy, Matplotlib

    Converted malware binaries into grayscale images (byte-to-pixel mapping) to visualize structural patterns across 25+ malware families. Designed and trained a CNN achieving 94.47% classification accuracy, using a train/validation split to control overfitting. Produced per-sample confidence scores for predicted malware family, supporting model interpretability.

Courses & certifications

  • Data Analytics with Generative AI · NIIT
  • Certified Responsive Web Design Developer · FreeCodeCamp
  • JavaScript with HTML · SRM IST
  • Data Analytics program · Deloitte Australia - Forage

Explore the Broxer community

🤖
Online · instant AI help
Broxer