Hi! I'm Divya. I turn complex data into actionable insights with SQL, Python, Tableau, and Snowflake. Two years of experience analyzing user behavior, measuring chatbot performance, and automating reporting.
Available for full-time data analyst opportunities
- Years of Experience
- 2Years of Experience
- Transactions Analyzed
- 30M+Transactions Analyzed
- Less Reporting Time
- 30%Less Reporting Time
// about
I’m a Data Analyst with two years of experience connecting complex datasets to business decisions. At Prodapt Solutions, I analyzed conversational AI interactions to understand where users dropped off and help teams improve self-service experiences.
My background includes an M.S. in Information Systems from Northeastern University (May 2026) and a B.E. in Information Science from Jyothy Institute of Technology (June 2021). My work spans statistical analysis, data modeling, automated reporting, and machine learning.
- role
- Data Analyst
- based
- United States
- mobility
- Open to relocate
- toolkit
- SQL, Python, Tableau, Snowflake
- focus
- User behavior & conversational AI analytics
// work experience
Oct 2021 – Aug 2023
Data Analyst
Prodapt Solutions · India
- Analyzed customer service chatbot logs in Snowflake with SQL and Python to identify user drop-off trends and inform product changes.−0% user abandonment
- Designed Tableau dashboards tracking intent recognition accuracy, escalation rate, session duration, and self-service resolution for product and engineering teams.
- Partnered with product and engineering teams on A/B testing and statistical analysis to validate a new chatbot prompt structure.+0% self-service resolution
- Automated daily chatbot telemetry pipelines in Snowflake using dbt, transforming raw interactions into analytics-ready datasets.−0% manual reporting turnaround
- Maintained dbt models and SQL transformations in GitHub, documenting data sources and dependencies to improve data quality, governance, and lineage.
Mar 2021 – Apr 2021
Machine Learning Intern
Tech Fortune Technologies · India
- Built wine-quality classifiers across 1,599 samples using Python and scikit-learn, comparing Random Forest, SVM, KNN, Decision Tree, and Logistic Regression.0% test accuracy
- Engineered an ML pipeline with StandardScaler, GridSearchCV, cross-validation, and an 80/20 train-test split to prevent data leakage and improve generalization.0 .5% cross-validation accuracy
- Explored feature relationships and class imbalance with Pandas, Matplotlib, and Seaborn, restructuring the target into a binary classification problem.
// projects
- 01
E-Commerce Customer Behavior & Product Demand Analytics — view source on GitHub (opens in a new tab)
Purchasing patterns, customer segments, and product demand insights from 30M+ e-commerce transactions.
0.84 ROC-AUC with Random Forest
Used EDA, RFM segmentation, and K-Means clustering to support retention and marketing. Compared Logistic Regression, Decision Tree, and Random Forest models to inform inventory and demand planning.
- Python
- Pandas
- NumPy
- scikit-learn
- RFM
- K-Means
- 02
Secure AI Governance Engine — view source on GitHub (opens in a new tab)
A RAG-powered compliance reasoning system with 100% citation groundedness and 91%+ accuracy.
80% reduction in prompt token usage
Combined document chunking, embeddings, and vector search with ReAct agent workflows. Validated the system with 28 unit tests and 5 integration tests.
- Python
- GPT-4o
- LangChain
- LangGraph
- ChromaDB
- Docker
- RAG
- 03
Cloud Native Webapp — view source on GitHub (opens in a new tab)
A scalable Python backend with automated AWS infrastructure and zero-downtime deployments.
Integrated FastAPI and REST APIs with AWS services including S3, RDS, and CloudWatch. Automated infrastructure and deployments with Terraform, Packer-built AMIs, and GitHub Actions, with encryption and centralized logging.
- Python
- FastAPI
- AWS
- Terraform
- Packer
- GitHub Actions
// skills
Languages & Databases
- Python
- SQL
- R
- PostgreSQL
- MySQL
- Oracle
- MongoDB
- PL/SQL
- Excel
Analysis & Machine Learning
- Pandas
- NumPy
- scikit-learn
- Jupyter Notebooks
- EDA
- A/B Testing
- Statistical Analysis
- Data Modeling
Visualization & Reporting
- Tableau
- Power BI
- Matplotlib
- Seaborn
- KPI Dashboards
- Automated Reporting
Cloud Platforms
- Snowflake
- AWS EC2
- AWS S3
- AWS Lambda
- Azure
Pipelines & Orchestration
- dbt
- Airflow
- Docker
- FastAPI
Tools & Collaboration
- Git
- GitHub
- Jira
- Data Quality
- Data Lineage