Cyclistic Case Study
5.5M+ rides analysis with dashboards and recommendations to improve customer conversion and loyalty.
Analytics & ML professional • Assistant Manager at HSBC • ML intern experience
Hi — I’m Advait Chavan. I build production ML systems that deliver measurable impact.
Machine learning engineer with hands‑on experience in computer vision, NLP, and end‑to‑end data pipelines. I design and deploy production‑ready models, interactive dashboards, and automation (e.g., Google Sheets integrations and Plotly Dash) that reduce manual effort, improve decision making, and lower operational risk.
Experienced in model development, data engineering, and cloud deployment — I turn messy data into audit‑ready systems and interactive dashboards.
About Me
I am an analytics and technology professional specializing in machine learning, data science, and advanced Python development. I build predictive models, computer vision systems, and NLP applications that routinely exceed 90% accuracy. I turn data into action by combining system log analysis, automation, and data‑driven insights to optimize workflows and support better decision‑making. I design and deploy end‑to‑end data pipelines, interactive dashboards, and AI‑powered applications that scale within compliance frameworks, improve efficiency, and reduce operational risk. My work focuses on delivering measurable business impact through technical innovation and robust engineering practices.
Skills
Python
Pandas
NumPy
Scikit-learn
TensorFlow
SQL
Computer Vision
NLP
Azure
Dashboarding
GeoSpatial Data Analysis
Folium
Plotly
Portfolio Projects
NLP Exam Scoring
Web app with automated scoring for descriptive answers and Google Sheets integration for results management.
Detected: "I Love You" · Confidence: 98%
Sign Language Recognizer (SLR)
Computer vision model to convert gestures to text with real-time webcam support and high confidence detection.
Logistic Regression (best) · Test Acc: 0.8333
Winning Space Race with Data Science
End-to-end analysis of Falcon 9 launches: API + web scraping, EDA, Folium maps, Plotly Dash dashboards, and classification models to predict landing outcomes.
Experience
Assistant Manager — HSBC
Mumbai, India • April 2025 - Present
Performed system log analysis for fraud investigations, automated ticket workflows, and built complaint trend dashboards to improve SLA adherence and reduce escalations.
Machine Learning Intern — Cloud Counselage
Remote • June 2022 - August 2022
Processed 1,000+ student records; built Random Forest model achieving ~93% accuracy; validated with precision/recall/F1 metrics.