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Experience

© SS

Data Science Intern

Evoastra Ventures Pvt. Ltd.

Designed, trained, and optimized a CNN-LSTM image captioning pipeline, engineered preprocessing workflows, and improved visual-to-text generation accuracy on large datasets.

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Machine Learning Intern

JP Motors Ltd.

Developed SKU-level automobile sales forecasting models, automated feature engineering pipelines, and optimized distribution workflows across 300+ retail outlets.

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Research & Development Intern

Valeo Ind. Pvt. Ltd.

Monitored sales trends for 200+ firms, built regression and time-series models, and delivered demand forecasting insights to improve procurement and pricing strategies.

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Researcher - LLM, Robotic & CNN Modeling

University of Pennsylvania

Cutting-edge research integrating large language models and robotics systems for automated decision-making and real-time control solutions in advanced lab environments.

Projects

SYLVASYNTH — CNN Crop Disease Detector

2023

Deployed CNN achieving 94.4% accuracy for crop pathology.

Built and deployed a high-accuracy CNN for real-time crop disease detection. Farmers upload leaf images and receive instant diagnoses and treatment recommendations with >94% accuracy.
PythonTensorFlowComputer VisionNeural Networks

NIFTY 50 Volatility Forecasting Model

2025

Hybrid econometric + ML model for volatility prediction.

Built hybrid econometric + ML pipelines combining GARCH with boosted ML features to forecast volatility in NIFTY & sectoral indices. Used for options pricing and risk management.
PythonPandasscikit-learnMath & Quant Modeling

Air Quality Forecasting LSTM Model

2024

LSTM-based AQI prediction from time-series data.

Developed LSTM neural networks to forecast PM2.5 and AQI from sensor readings in Nairobi. Provided early warning signals for public health risk management.
PythonKerasNeural NetworksTime Series

Corporate Bankruptcy Risk Prediction Model

2024

Survival + classification models on firm insolvency.

Applied survival analysis and ML classification models to predict bankruptcy using Polish firm datasets. Identified leading indicators for credit risk evaluation.
Pythonscikit-learnStatisticsPredictive Modeling

Customer Segmentation — Retail Analytics

2024

Unsupervised learning for e-commerce customer cohorts.

Clustered 10k+ retail users into segments using k-means and GMM for targeted marketing. Improved retention by identifying high-value cohorts.
Pythonscikit-learnUnsupervisedML Algorithms

Earthquake Damage Assessment Model

2023

Computer vision ensembles to classify structural damage.

Built ensemble CV models combining CNNs and feature extractors to classify post-earthquake structural damage, assisting rapid disaster response.
PythonPyTorchComputer VisionNeural Networks

A/B Testing Framework — Experimentation Tools

2023

Experimentation pipelines with statistical rigor.

Built A/B testing pipelines with automated power calculations, sequential monitoring, and Bayesian updates. Ensured reliable decisions in digital experiments.
PythonStatisticsProbabilityPredictive Modeling

Real Estate Price Prediction — Market Models

2024

Ensemble regressors for Latin American housing markets.

Designed ensemble regression models with feature engineering for Argentina and Mexico housing markets. Provided accurate pricing insights for investors.
PythonNumPyPandasPredictive Modeling

Publications

Skills

Programming

Python
NumPy
Pandas
scikit-learn
Keras
PyTorch
TensorFlow
SQL
HTML
CSS
JavaScript
C++

Machine Learning

Supervised
Unsupervised
Neural Networks
Regularization
Reinforcement
Computer Vision
ML Algorithms
Predictive Modeling

Math & Quant Modeling

Probability
Statistics
Linear Algebra
Multivariable Calculus
Real Analysis
Optimization
Arithmetic Math
Differential Equations

Let's build something

I'm actively looking for internship roles in data science, ML, or quant.