Hello, I’m A R Aromal 👋

Research and Teaching Assistant

MTech (2026) BTech (2024) ISC (2020) ICSE (2018)

A R Aromal

About Me

I have completed my MTech in Bioinformatics and BTech in Biotechnology and Biochemical Engineering with Minor in Computer Science and Engineering. My interest lies in web development, data analysis, machine learning, deep learning and computational biology. I enjoy learning how technology can solve real-world problems.

Skills

Programming Languages

  • Python
  • MATLAB
  • C (basic)
  • JavaScript (basic)

Machine Learning & AI

  • Supervised & Unsupervised Learning
  • Logistic Regression, Random Forest
  • Model Evaluation (ROC-AUC, Precision, Recall)
  • Imbalanced Data Handling
  • Feature Engineering & Model Tuning

Deep Learning

  • Convolutional Neural Networks (CNNs)
  • 1D CNNs for Biological Sequences
  • TensorFlow & Keras
  • Transfer Learning (MobileNetV2)
  • Batch Normalization & GAP

Bioinformatics & Genomics

  • Genome Annotation (Bakta)
  • Pangenome Analysis (Panaroo)
  • AMR & Virulence Screening (Abricate)
  • Metagenomics & Peptide Discovery
  • Sequence & Structural Analysis

Molecular Modeling & Simulation

  • Peptide Structure Modeling
  • Protein–Peptide Docking
  • Interaction Analysis
  • Molecular Dynamics Simulation

Data Science & Analytics

  • Data Cleaning & Preprocessing
  • Exploratory Data Analysis (EDA)
  • Pandas, NumPy, Seaborn
  • Statistical Analysis
  • Data Visualization

Web Development

  • HTML5 & CSS3
  • Flexbox & Responsive Design
  • Basic JavaScript (DOM, Events)
  • Flask (basic web apps)

Tools & Platforms

  • Git & GitHub
  • Linux / Command Line
  • OpenWeatherMap API
  • Scikit-learn

Research & Workflow

  • Pipeline Development & Automation
  • Reproducible Research
  • Scientific Writing
  • Literature Review
  • Experimental Design

Projects

Automated CSIR-UGC NET Response Sheet Evaluation (Python)

Dec 2025

Built a Python pipeline to evaluate CSIR-UGC NET Life Sciences response sheets by parsing official PDFs and HTML answer keys, resolving ID mismatches, and applying section-wise marking with verification checks.

Skills: Python, PDF Parsing, Automation

Comparative Pangenome Analysis & AMR Profiling of Pseudomonas aeruginosa

Jul 2025 – Dec 2025

Conducted large-scale comparative genomics to study genomic diversity, AMR gene distribution, and virulence factors across multiple strains.

  • Genome annotation using Bakta (GFF3 generation)
  • AMR & virulence screening with Abricate (ResFinder, VFDB)
  • Pangenome construction using Panaroo
  • Phylogenetic analysis and statistical structuring using Python

Skills: Genomics, Pangenomics, Python

Data-Driven Digital Marketing: Diabetes Risk Prediction

Jul 2025 – Dec 2025

Designed a data-driven audience segmentation strategy for public health marketing using machine learning.

  • Compared Logistic Regression vs Random Forest
  • Selected Random Forest (77.92% accuracy)
  • Evaluated ROC-AUC (0.82), Precision (72%), Recall (61%)
  • Focused on false-negative reduction for real-world impact

Skills: Machine Learning, Data Analysis

Deep Learning for Bioinformatics: 1D CNN Protein Predictor

Jul 2025 – Dec 2025

Developed an end-to-end deep learning pipeline to predict protein secondary structure from amino acid sequences.

  • Binary encoding of sequences using MATLAB
  • 1D CNN with Conv1D, BatchNorm & Global Average Pooling
  • Achieved ~52.4% accuracy on unseen data

Skills: Deep Learning, CNNs, MATLAB

Drug Classification from Scratch (ChEMBL)

Aug 2025

Built a complete ML pipeline for drug classification starting from dummy data to real-world ChEMBL datasets, emphasizing data quality over artificial performance.

Skills: Machine Learning, Data Pipelines

Credit Card Fraud Detection Model

Aug 2025

Developed a fraud detection system on a highly imbalanced dataset (>280,000 records), improving recall from 69% to 82%.

Skills: Machine Learning, Python, Scikit-learn

End-to-End Data Science: Bengaluru House Price Prediction

Aug 2025

Built a complete ML workflow including data cleaning, feature engineering, outlier detection, and model tuning.

Result: R² score of 0.76 on test data

Skills: Data Science

Global Weather CLI

Aug 2025

Developed a Python-based command-line tool to fetch and display real-time weather data using the OpenWeatherMap API.

Skills: Python, APIs

Tomato Leaf Disease Detector

Aug 2025

Built an end-to-end deep learning web application to classify tomato leaf diseases using CNNs and transfer learning.

  • MobileNetV2 with TensorFlow & Keras
  • Flask-based web interface
  • Git/GitHub for version control

Skills: Deep Learning, Computer Vision

Metagenomic Peptide Analysis (IIIT Allahabad)

Jan 2025 – Jun 2025

Designed and evaluated peptide inhibitors against IMP-type metallo-β-lactamases using computational biology techniques.

Skills: Metagenomics, Molecular Modeling

Contact Me