Junior Business & Data Analyst | Finance • Healthcare • AI
Thanks for stopping by my profile! I’m a passionate Analyst who thrives on transforming messy data into actionable insights and visual stories. With experience spanning finance, healthcare, and AI, I enjoy solving complex problems and driving smarter decisions through data.
As a Master's graduate in Applied Data Analytics from Boston University, I bring a strong foundation in statistical modeling, data pipelines, and machine learning. Whether it's crafting NLP-powered healthcare chatbots, building recommendation engines, or streamlining workflows with PySpark, I’m always focused on impact.
I love working with:
- ETL pipelines using PostgreSQL and DBT
- Interactive dashboards in Power BI and Tableau
- Scalable models and workflows on Databricks and AWS
When I’m not analyzing data, you’ll find me exploring cutting-edge AI tools or fine-tuning my next ML project.
- Languages: Python, SQL, R
- Data Science: Pandas, NumPy, Scikit-learn, Statsmodels, Matplotlib, Seaborn
- ML & NLP: Regression, Classification, Recommendation Systems, NLP (SpaCy, NLTK)
- Dashboards: Power BI, Tableau, Looker, Excel
- Databases: PostgreSQL, SQL Server, BigQuery, MongoDB
- Workflow Tools: DBT, Airflow, Git, JIRA, Docker
- Ridge-penalized rare-event logistic regression model
- Macro-financial feature engineering and VIF-based multicollinearity pruning
- Monte Carlo PD simulation under VAR-based macroeconomic stress
- Automated Airflow + dbt ELT for 3GB of rideshare, POI & weather data
- Deployed in GCP with Looker dashboards and budget trigger alerts
- Cut trip duration by 17% and p95 budget overruns by 11pp
- Clustered funds via CuSum & K-Means, outperforming S&P 500 by 12%
- Regression models using Sharpe ratio, Jensen’s alpha, AUM, and more
- Built Power BI dashboards for engineering leadership
- Automated Kafka + Lambda-based pipelines; optimized PostgreSQL queries (reducing 25% latency)
- Migrated legacy ERP to cloud with sprint planning & analytics
- Led CRM feature rollouts with stakeholder training & workflow alignment
- Developed a chatbot for medical patient triage (NLP with SpaCy/NLTK)
- Built fund analysis models using WRDS data and Python
📍 Boston, MA
📧 [email protected]
🔗 LinkedIn • GitHub
📌 Always open to collaboration or a good data story.