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
Programming & Development
Python (5★ HackerRank)
SQL
Java
HTML5
CSS3
OOP & Modular Design
Workflow Automation
Data Science & Machine Learning
Pandas
NumPy
Scikit-learn
TensorFlow
SciPy
Supervised & Unsupervised Learning
Deep Learning
NLP
Computer Vision
Statistical Modeling
Data Analytics & Visualization
Exploratory Data Analysis
Business Intelligence
Data Visualization
Jupyter Notebook
Matplotlib
Seaborn
Interactive Dashboards
Tools & Platforms
Microsoft Azure
Kaggle
GitHub
Bootstrap
Web App Development
Applied Knowledge & Problem-Solving
Business Analytics
Process Optimization
Risk Mitigation Through Data Insights
Cross-Functional Collaboration
Technical Documentation
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.
Policy first · Model assisted · Live demo
Online Fraud Detection System
An accessible, auditable fraud scoring system that combines a calibrated ML model with RBI/NPCI and bank policy checks. Single‑transaction scoring, batch CSV processing, and an admin UI to manage merchant categories and bank limits — built for both non‑technical users and data teams.
Hybrid rules + explainable ML for loan decisions
Loan Decision Simulator
Interactive regulator-ready loan decision simulator combining bank rule checks with explainable model scoring and transparent feature-level reasoning.
Experience
Assistant Manager — HSBC
Mumbai, India • April 2025 – Present
- Applied system log analysis and data-driven techniques to resolve 4–5 daily tickets involving fraud investigations, ensuring accuracy and compliance.
- Utilized internal software platforms to perform root cause analysis, automate resolution workflows, and reduce manual intervention in ticket handling.
- Designed structured processes with emphasis on data documentation, enabling audit readiness and regulatory compliance.
- Collaborated with cross-functional teams to integrate analytics into ticket trend reporting, improving service quality and reducing escalation rates.
- Supported MIS reporting and developed complaint trend dashboards, contributing to proactive risk mitigation and operational efficiency.
- Balanced customer satisfaction with regulatory guidelines by applying structured decision frameworks, including compensation/redress models.
- Enhanced resolution timelines by leveraging data insights and workflow optimization, improving customer experience and reducing escalation frequency.
Machine Learning Intern — Cloud Counselage Pvt. Ltd.
Remote • April 2024 – June 2024
- Built supervised ML models to predict students' year of graduation using academic and demographic datasets.
- Processed and cleaned 1,000+ student records with Pandas/NumPy for accurate feature extraction.
- Implemented and compared algorithms (Linear Regression, Decision Tree, Random Forest, XGBoost).
- Achieved ~93% prediction accuracy with Random Forest, outperforming baseline models by 15%.
- Validated performance using confusion matrix, precision, recall, and F1-score for robust evaluation.
Education & Certifications
Bachelor of Engineering (B.E.) — Electronics Engineering
M.H. Saboo Siddik College of Engineering, Mumbai University • June 2019 – May 2023
Outstanding Grade — 83.21%, 9.25 CGPA
Roles: Training & Placement Officer (TPO) Coordinator, Class Representative.
Post Graduate Diploma in Artificial Intelligence (PGDAI)
Centre for Development of Advanced Computing (C-DAC), Noida • Feb 2025 – Aug 2025
Grade A — 78.53%
Modules: Data Analytics, Advanced Python, Java Programming, Practical Machine Learning, Deep Neural Networks, NLP & Computer Vision, AI Compute Platforms, Mathematics for AI, General Aptitude & Communication.
Project work awarded Grade A.
Certifications & Achievements
IBM Applied Data Science with Python
IBM Data Science Business Level 2
IBM Data Science Foundations Level 2
Data Analysis using Python — IBM
Data Science Methodologies — IBM
Data Visualization Using Python — IBM