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@faddednatasha
faddednatasha
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Aayushi Tewari faddednatasha

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MBA in Business Analytics | B.Tech in Electronics & Communication

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faddednatasha /README.md

Typing SVG

GitHub Streak

πŸ‘‹ About Me:

I'm a passionate Data & Business Analytics enthusiast with a strong foundation in Data Science, Machine Learning, and UI/UX Design. I enjoy uncovering meaningful insights from complex datasets and turning them into actionable strategies and intuitive digital experiences. My journey involves a blend of analytical problem-solving and user-centered design, focused on making data both impactful and accessible. Currently seeking Data Analyst / Business Analyst roles in Singapore (graduating July 2026, open to EP sponsorship).

🌐 Connect with me:

LinkedIn Email

πŸ’» Tech Stack:

Programming & Scripting

Python SQL

Data Science & Machine Learning

Pandas NumPy Matplotlib Scikit-Learn

Business Intelligence & Analysis

Power Bi Tableau Excel Jira Streamlit MySQL

Design & UI/UX

Figma Adobe Canva

Cloud & Deployment

Azure Google Cloud

Soft Skills

Analytical Thinking Problem Solving Strategic Planning Communication Team Collaboration Adaptability

πŸš€ Featured Projects

Data Analysis & Machine Learning

πŸ”Ή Performed Exploratory Data Analysis (EDA) on Indian flight data to uncover pricing trends and airline performance.
πŸ”Ή Developed predictive models using Python to estimate airfares based on duration, stops, and departure timing.
πŸ”Ή Visualized seasonal fluctuations and booking patterns to provide cost-optimization insights for travelers.

πŸ”Ή Investigated key factors leading to customer attrition through detailed Exploratory Data Analysis.
πŸ”Ή Used Pandas and Seaborn to visualize correlations between service usage, contract types, and churn rates.
πŸ”Ή Provided actionable insights and early-warning signs to help businesses improve retention strategies.

πŸ”Ή Developed a risk assessment tool focused on identifying potential credit defaults and financial irregularities.
πŸ”Ή Implemented Machine Learning algorithms to classify high-risk profiles based on historical financial data.
πŸ”Ή Streamlined the data preprocessing phase to ensure high model accuracy and reliable decision support for lenders.

πŸ”Ή Conducted a comprehensive study of e-commerce transactions to identify top-performing products and regional sales trends.
πŸ”Ή Performed customer segmentation analysis to help tailor marketing efforts toward high-value demographics.
πŸ”Ή Built visual reports to track monthly growth, revenue streams, and order fulfillment efficiency.

πŸ”Ή Analyzed marketing funnel data to track the customer journey from lead generation to final sales conversion.
πŸ”Ή Identified bottlenecks in the conversion process using SQL and Python to improve ROI.
πŸ”Ή Created data-driven recommendations to optimize marketing spend and enhance customer acquisition strategies.

πŸ”Ή Developed a system to scrape, store, and manage structured quote data for content analysis.
πŸ”Ή Utilized Python libraries to process text data and organize it into a searchable, user-friendly format.
πŸ”Ή Focused on data integrity and efficient retrieval for use in creative or analytical applications.

Business Intelligence & Dashboards

πŸ”Ή Designed an interactive dashboard to analyze Amazon Prime’s content library, focusing on genre distribution and ratings.
πŸ”Ή Visualized viewership trends and global content availability using Power BI/Tableau.
πŸ”Ή Provided data-driven insights into content strategy and audience preferences for streaming services.

πŸ”Ή Built a comprehensive visual report exploring Netflix's movies and TV shows dataset.
πŸ”Ή Tracked the growth of content over time and identified top-performing directors and countries.
πŸ”Ή Optimized data layouts to showcase key metrics like release years and maturity ratings at a glance.

πŸ”Ή Created a dynamic sales performance tracker to monitor revenue, profit margins, and sales targets.
πŸ”Ή Focused on regional performance and product category analysis to identify growth opportunities.
πŸ”Ή Utilized advanced filtering and drill-down features to allow for granular data exploration.

UI/UX Design & Product Development

πŸ”Ή Designed a clean, intuitive weather application interface focusing on real-time atmospheric updates and forecasts.
πŸ”Ή Created high-fidelity prototypes in Figma with a focus on data visualization and ease of use.
πŸ”Ή Applied modern UI principles to ensure a seamless experience across different device screens.

πŸ”Ή Designed a high-fidelity fitness application focused on personalized workout tracking and health monitoring.
πŸ”Ή Developed intuitive user flows and wireframes in Figma to enhance user engagement and retention.
πŸ”Ή Applied modern UI principles to create a seamless, motivating experience for health-conscious users.

πŸ”Ή Engineered the UI/UX for a food delivery platform, streamlining the process from discovery to checkout.
πŸ”Ή Focused on mobile-first design, ensuring a responsive and accessible interface for diverse users.
πŸ”Ή Prototyped interactive elements to simulate a real-world ordering experience.

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Views

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  1. Amazon-Prime-Dashboard Amazon-Prime-Dashboard Public

    A Microsoft Power BI solution that analyzes the Prime Video content catalog, visualizing trends in content type, release year, regional distribution, and overall library growth.

    HTML 1

  2. Sales-Dashboard- Sales-Dashboard- Public

    Sales Overview Dashboard: A comprehensive business intelligence solution built with Microsoft Power BI to analyze sales trends, profitability, and regional performance based on a superstore sales d...

    HTML 1

  3. CreditGuard CreditGuard Public

    Credit Guard: Loan Default Risk Prediction System is a machine learning-based classification system designed to predict whether a loan applicant is likely to default or repay. By analyzing demograp...

    Jupyter Notebook

  4. Sales-Conversion-Marketing-Funnel-Analysis Sales-Conversion-Marketing-Funnel-Analysis Public

    This project provides a comprehensive data science workflow to analyze prospect movement through a marketing funnel.

    Jupyter Notebook

  5. cricbuzz cricbuzz Public

    The primary goal is to build a high-fidelity cricket dashboard that functions as a "mini Cricbuzz". It focuses on collecting unorganized, real-time API data and converting it into a structured SQL ...

    Python 1

  6. REAL-ESTATE-INVESTMENT-ADVISOR REAL-ESTATE-INVESTMENT-ADVISOR Public

    Real Estate Investment Advisor is an end-to-end analytics to decode the Indian housing market. The app provides real-time property price predictions and classifies investment .

    Python 1

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