Open to opportunities

Hey, I'm Ashwin

Building depth estimation for ADAS@Argonne National Laboratory

Certified in Data Science & AI Engineering byGoogle&IBM

MS in Applied Data Science atUniversity of Chicago

Filter portfolio by Expertise

Professional Journey

My journey across different industries and challenges.

Data Science Intern (Capital Markets)

Evoke Technologies

3 months Dayton, Ohio

Enterprise ETL pipelines for 9,000+ global equities with financial ontology frameworks
NLP sentiment extraction from premium publications for alpha signal enhancement
Option flow analytics and directional signal detection for portfolio optimization

GCPMachine LearningBacktestingETL/Data EngineeringReal-time Streaming

Capstone Researcher

Argonne National Laboratory

9 months Chicago, IL

Monocular vision-based distance estimation for ADAS applications
Sub-10% error tolerance under varied real-world driving scenarios
Focus on road safety, energy efficiency, and PII compliance

Computer VisionDeep LearningADASMonocular Depth EstimationReal-time Systems

Data Science Intern

Prodapt Solutions

4 months Chennai, India

Real-time network anomaly detection with 92% precision and 89% recall
Model monitoring pipelines with concept drift detection and automated retraining
Real-time alert dashboard for streamlined incident response

Machine LearningAnomaly DetectionReal-time ProcessingModel MonitoringDashboard Development

Data Scientist Intern

Aspire Systems

3 months Chennai, India

YOLOv5-based shelf void detection for retail optimization
Real-time monitoring system improving on-shelf availability by 15%
Market basket analysis on 1M+ transactions boosting revenue by 20%

Computer VisionYOLOv5Deep LearningMarket Basket AnalysisReal-time Systems

Featured Projects

A showcase of my technical expertise and problem-solving approach.

AI/ML

Agentic YouTube AI

Multi-agent GenAI titles & thumbnails with Bayesian A/B testing for content optimization and engagement prediction.

GenAIBayesian StatisticsA/B TestingMulti-agent Systems

Healthcare AI

Clinical Trial Risk Intelligence

XGBoost + Cox PH attrition prediction with SHAP analysis for clinical trial participant retention optimization.

XGBoostCox Proportional HazardsSHAPHealthcare

Time Series

Event-Driven Demand Shock Forecaster

Flu/weather SKU demand spike prediction using event-driven architecture and time series forecasting.

Time SeriesEvent-DrivenForecastingReal-time

NLP

Conversational Impact Analyzer

Transformer NLP + causal uplift analysis on customer service chats for impact measurement and optimization.

TransformersNLPCausal InferenceCustomer Analytics

Data Science

Customer Segmentation & Retention Insights Platform

Advanced customer segmentation and retention prediction using machine learning and behavioral analytics.

Machine LearningCustomer AnalyticsSegmentationRetention

Healthcare AI

Healthcare Outreach ROI Model

Causal inference model for healthcare outreach effectiveness and patient engagement optimization.

Causal InferenceHealthcareROI AnalysisPatient Engagement

Computer Vision

Argonne National Lab Capstone – Monocular Vehicle Distance Estimation

Computer vision system for monocular depth estimation in autonomous vehicle applications.

Computer VisionMonocular VisionDeep Learning

Healthcare AI

Bayesian Deep Learning for Diabetic Retinopathy

Bayesian CNN to classify retinal images with uncertainty-aware predictions. The model uses Monte Carlo Dropout to generate multiple predictions per image, allowing for uncertainty estimation.

CNNBlitzGANsMCDropoutBayesian Deep Learning

View more on GitHub

Certifications

Professional certifications that validate my expertise.

Google Advanced Data Analytics

IBM AI Engineering

NVIDIA Deep Learning

Microsoft Azure Data Fundamentals

Let's Connect

I'm always open to discussing new projects, creative ideas, or opportunities to be part of an amazing team.

Get In Touch View Resume