Bhavithra Suruliyandi Selvakumar

Hello world!

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Hey! I’m Bhavithra, a data-driven problem solver with a passion for AI, machine learning, and full-stack development. I specialize in predictive analytics, NLP, and system design, creating smart solutions from complex data. Outside of coding, I enjoy chasing sunsets and diving into sci-fi and tech trends.

Skills

Programming Languages

  • Python
  • SQL (MySQL)
  • JavaScript
  • R

Libraries & Frameworks

  • NumPy, Pandas
  • TensorFlow, Scikit-learn, Transformers, JAX, Autoencoders
  • React
  • Flask

Computer Vision

  • OpenCV, Pillow (PIL), scikit-image, dlib, ImageAI
  • Feature Extraction (SIFT, SURF, ORB)
  • Optical Character Recognition (OCR), Image Enhancement
  • Augmentation, Video Processing
  • YOLO, SSD, U-Net, Mask R-CNN, GANs

Machine Learning

  • Machine Learning
  • NLP

AI & Deep Learning

  • AI
  • Deep Learning

Big Data & Distributed Systems

  • Hadoop
  • Spark
  • Airflow

Data Engineering & Analytics

  • Data Integration
  • Data Manipulation
  • Data Transformation
  • Data Modeling
  • Data Pipelines, ETL, Feature Engineering

Databases & SQL

  • DBMS
  • SQL
  • MySQL

Development & DevOps

  • Git
  • REST APIs
  • CI/CD Pipelines

Data Visualization

  • Power BI
  • Tableau
  • Advanced Excel for Data Analytics

Projects

CO2 Prediction Forecasting

Developed a predictive model to forecast CO2 emissions based on historical data and various environmental factors using regression techniques.

View on GitHub

NLP Chatbot

Developed an NLP-based chatbot for answering user queries and providing personalized responses using NLTK, with capabilities for age guessing, jokes, and quizzes.

View on GitHub

University Management System (DBMS)

Created a database management system for a university, handling student records, course management, and faculty details using MySQL and PHP for the web interface.

View on GitHub

OTT Dashboard (Power BI)

Built a dynamic Power BI dashboard for an OTT platform, providing detailed insights and visualizations for user behavior, content trends, and revenue metrics.

View on GitHub

Chatbot Using Tkinter

Developed an interactive chatbot using Tkinter with personalized features, error handling, conversation memory, and time-based greetings.

View on GitHub

File Transfer Using Socket Programming in Python

Created a file transfer application using Python's socket module where users can upload and download files from a server using a simple client-server architecture.

View on GitHub

Geo QR Attendance

Developed an attendance system with QR code-based authentication and geolocation verification to ensure physical presence during attendance marking.

View on GitHub

Air Delay Prediction (Regression)

Implemented a regression model to predict airline delays based on historical data such as weather, airport, and flight schedules.

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Exoplanet Classification

Built a classification model to predict exoplanet characteristics using machine learning algorithms, analyzing features from datasets to classify exoplanets.

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Test Matches Clustering

Applied clustering algorithms to the test matches dataset, analyzing match data such as runs scored and wickets taken, to group similar matches based on statistical patterns.

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