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Focusing on one project at a time! or trying to!
🎯
Focusing on one project at a time! or trying to!

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toofanCodes/README.md

Hi there, I'm Jaya Saran Teja Pavuluri (Saran) 👋

I'm a Analytical Engineer who likes to stay updated with rapidly evolving tech landscape. Being a recent MS in Business Analytics graduate from Seattle University, I am seeking roles where I can showcase my skills and contribute .

I love building end-to-end solutions that tackle real-world business problems. My approach is simple: if a process is manual or inefficient, I look for ways to automate and improve it. I get excited about turning raw data into data-driven products(be it personal life or professional), whether that’s a predictive model to forecast revenue, an ETL pipeline to ensure data integrity, or an interactive dashboard that helps leaders make smarter decisions.

I’ve worked across Go-to-Market strategy, financial and operational analytics, and supply chain optimization, which gives me a big-picture perspective on how to use data to drive success throughout an organization.

Most recent work:

Developed using Python, deployed using Streamlit: https://weather-mood-movie.streamlit.app/
Coded in R, rendered using Quarto: https://toofancodes.github.io/makingViz-in-R/


🔎 What I Do

  • For Strategic Analyst Roles (Business, Finance, People Analytics)
    Translate complex data into actionable strategy. Help teams make sense of market trends, streamline processes, forecast outcomes, and connect day-to-day performance with financial results. Deliver clear, data-backed recommendations that lead to growth and efficiency.

  • For Data Engineering Roles (BIE, Analytics Engineer)
    Build and automate scalable data solutions from the ground up. Design data models (like star schemas), develop custom ETL pipelines on AWS, and create BI reporting layers with Tableau, Power BI, or QuickSight that bring insights to everyone in the organization.


🛠️ Core Technical Stack

Category Skills & Technologies
Data Science & ML Python (Pandas, Scikit-learn, XGBoost), Time-Series Forecasting (Prophet), Model Explainability (SHAP), NLP (Hugging Face Transformers), Anomaly Detection (Isolation Forest), Big Data (PySpark)
BI & Visualization Tableau(Advanced), Power BI(basic), Amazon QuickSight(basic), Streamlit(intermediate), Looker Studio(intermediate), Microsoft Excel (Advanced), Airtables(intermediate)
Data Engineering & Cloud SQL (Advanced), AWS (Redshift, S3, Glue, EC2, RDS), ETL Pipeline Development, Data Modeling (Star Schema), Databases (PostgreSQL, MySQL)
Languages & Tools Python, R, SQL, Git/GitHub, Docker, JIRA
Business Systems Experience working with data from CRMs (Slate), ERPs (Colleague), Procurement systems (Jaggaer) and Syndicated Data Sources (S&P Global, Euromonitor, Lightcast)

📖 Data Storytelling

I believe great analytics should tell a story that people can actually understand and act on. I use frameworks like:

  • Pyramid Principle
    Structure insights from the top down so stakeholders immediately grasp the main point.

  • MECE (Mutually Exclusive, Collectively Exhaustive)
    Organize analysis logically without overlaps or gaps, making recommendations clear and actionable.

  • SCR (Situation-Complication-Resolution)
    Craft narratives that explain where we are, what challenges we face, and what we should do next.

These frameworks help me turn complex datasets into compelling, audience-focused stories that drive better strategic decisions.


✨ Portfolio Highlights

  • Strategic Go-to-Market Analysis
  • Improving Operational Processes
  • Analyzing Financial Workflows
  • Building BI Solutions (e.g., Tableau dashboards, Power BI illustrations, interactive Streamlit apps)
  • Creating End-to-End ML Pipelines
  • Conducting Supply Chain Research and Analytics
  • Crafting effective data stories that are data-driven and audience-centric, using frameworks like Pyramid Principle, MECE, and SCR.

🌱 What I'm Focused On Now

  • Actively seeking full-time roles as a Analyst, Business Intelligence Engineer, Analytics Engineer, Data Scientist, or other data-focused positions where I can help build meaningful data products and contribute to business strategy.
  • Deepening my knowledge of MLOps, applying tools like MLflow to my projects, and exploring new ways to deploy models.
  • Learning to use AI code automation tools like cursor, codex, and lovable

📫 Let’s connect!


Languages and Tools:

aws docker firebase postgresql python Tableau Power BI Google Analytics

Pinned Loading

  1. predictingStockouts predictingStockouts Public

    An end-to-end machine learning project that predicts automotive parts shortages for a major automotive manufacturing and distribution company. This project showcases data preprocessing, exploratory…

    Jupyter Notebook 1

  2. predictingReadmissions predictingReadmissions Public

    Predicting 30-day hospital readmissions using EHR data. This project includes a full ETL pipeline, feature engineering, and machine learning models built on the UCI Diabetes dataset.

    Python

  3. NaiveBookingsForecaster NaiveBookingsForecaster Public

    A Python pipeline to predict airline final demand using additive & multiplicative models, benchmarked against naive forecasts with MASE. Visualizes forecast accuracy with scatterplots, residuals, a…

    Jupyter Notebook

  4. JobAppsMailTracker JobAppsMailTracker Public

    AI-powered job application tracker. Extracts job details from Gmail using Gemini AI and organizes everything in Google Sheets. Built for job seekers who prefer automation over manual tracking. 🎯 #V…

    Python

  5. CaliWageAnalytics CaliWageAnalytics Public

    Wage analytics - modeling and visualizing the effect of demographics, education, and occupation on wage outcomes in California.

    R

  6. predictingCustomerChoices predictingCustomerChoices Public

    Predicting customer choices in MAR(multiple airport region) using Machine Learning

    Jupyter Notebook