Projects

Selected Work

Published Work

Early Detection of Plant Diseases Using IoT Sensors and Machine Learning Algorithms

Published in IEEE Xplore, 2025 International Conference on Transformative Computing Technologies (ICTCT), pp. 344-350.

DOI: 10.1109/ICTCT69201.2025.00070
Academic

HSV-Based Chromatic Analysis of Malaria Parasites

A computer vision research project focused on automating the detection and life-stage classification of Plasmodium parasites from Giemsa-stained blood smear images. The workflow uses HSV color-space thresholding instead of traditional RGB segmentation to isolate parasitic regions. Quantitative features such as area, integrated density, and solidity were extracted to classify parasite life stages (Ring, Trophozoite, Schizont), highlighting the potential for automated diagnostic support systems.

PythonOpenCVImageJ (Fiji)Computer Vision
Academic

Customer Analytics Using Principle of Inclusion-Exclusion

A business intelligence project applying the Principle of Inclusion and Exclusion (PIE) to customer analytics for accurately measuring unique customer reach across multiple marketing campaigns. The project addresses overcounting through a rigorous mathematical framework, using a synthetic marketing dataset to demonstrate how combinatorial techniques from discrete mathematics can enhance the reliability of campaign performance evaluation and strategic decision-making.

PythonMathematicsBusiness Intelligence
Academic

IMDB Sentiment Analysis with LSTM

A deep learning project that performs sentiment analysis on the IMDB movie reviews dataset using Long Short-Term Memory (LSTM) neural networks. This repository builds and compares two models, a simple LSTM and a bidirectional LSTM with dropout, covering preprocessing, training, evaluation, and visualization of results.

PythonTensorFlowKerasLSTMBidirectional LSTM
Academic

C Attendance Companion

A C-based program designed to help students track and manage attendance across multiple subjects. It allows users to input attendance records, calculate attendance percentages, and determine the number of classes required to meet target attendance criteria.

C
Academic

Human Resources Dashboard

An interactive HR analytics dashboard built using a global human resources dataset. The project involved data cleaning, analysis, and visualization of approximately 1600 records to derive actionable insights for improving HR strategies and decision-making.

Microsoft Excel
Academic

Swiggy EDA

An exploratory data analysis project on a Swiggy restaurant dataset sourced from Kaggle. The project focused on data cleaning, analysis, and answering business-driven questions related to restaurant ratings, delivery times, cuisines, locations, and discounts.

PythonPandasNumPyMatplotlibSeaborn
Academic

Impact of Swachh Bharat Abhiyan on Urban Sanitation

A statistical research project evaluating the effectiveness of the Swachh Bharat Abhiyan in improving urban sanitation and community well-being. The study involved data collection, statistical analysis, and interpretation to assess the social and public health impact of the initiative.

StatisticsMicrosoft Excel

Skills & Technologies

Technical Stack

Programming Languages

Python

C

C++

Bash

JavaScript

Machine Learning & Deep Learning

Scikit-learn

TensorFlow

Keras

Hugging Face

Data Analysis & Visualisation

Pandas

NumPy

Seaborn

Matplotlib

MySQL

MLOps

AWS

Docker

Kubernetes

Git

GitHub

Jenkins

Linux

Tools

Microsoft Excel

Tableau

LaTeX

Adobe Photoshop

Adobe Illustrator

WordPress

Canva