📊
Data Engineering & Preprocessing
Cleaning, transforming, and preparing real-world datasets (including CPCB water quality data). Skilled in
handling missing values, outliers, class imbalance, and feature scaling pipelines.
Pandas
NumPy
Feature Engineering
SMOTE
Data Pipelines
🤖
ML Model Development
Building, tuning, and evaluating supervised and unsupervised models. Experience with classification,
regression, and ensemble methods. Comfortable reading metric reports — precision, recall, F1, AUC-ROC — and
iterating from them.
Scikit-learn
Random Forest
XGBoost
SVM
Model Optimization
💬
Natural Language Processing
Text preprocessing, tokenization, stopword removal, stemming/lemmatization, TF-IDF vectorization, and
sequence modelling. Applied NLP for text classification, sentiment analysis, and language understanding tasks.
NLTK
spaCy
TF-IDF
Tokenization
Text Classification
Sentiment Analysis
🗺️
Geospatial & Visual Analytics
Combining ML predictions with geospatial visualizations. Built interactive maps that surface model outputs as
heatmaps and region-level insights using real government datasets.
Leaflet.js
Matplotlib
Seaborn
Geospatial Analysis
⚛️
MERN Full-Stack Development
Building complete web applications from frontend to backend — React UIs, Node.js + Express APIs, and MongoDB
databases. Experience with user auth, real-time systems, payment integrations, and deploying production apps.
MongoDB
Express.js
React.js
Node.js
REST
APIs
Razorpay
🎨
Frontend Engineering
Crafting pixel-perfect, responsive interfaces using React, Tailwind CSS, and Bootstrap. Focused on
performance, accessibility, and seamless user experience across all devices.
React
Tailwind
CSS
JavaScript
HTML5 /
CSS3
Bootstrap
