https://github.com/mayankyadav23/mayankyadav23
Hi, Iβm Mayank! A data enthusiast turning numbers into insights. ππ‘ Passionate about analytics and making data-driven decisions. Letβs connect and explore the power of data together! π
https://github.com/mayankyadav23/mayankyadav23
business-intelligence data-analytics data-science machine-learning
Last synced: 5 months ago
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Hi, Iβm Mayank! A data enthusiast turning numbers into insights. ππ‘ Passionate about analytics and making data-driven decisions. Letβs connect and explore the power of data together! π
- Host: GitHub
- URL: https://github.com/mayankyadav23/mayankyadav23
- Owner: mayankyadav23
- Created: 2024-10-19T10:55:44.000Z (almost 2 years ago)
- Default Branch: main
- Last Pushed: 2024-11-05T14:27:27.000Z (over 1 year ago)
- Last Synced: 2025-10-23T04:49:34.667Z (9 months ago)
- Topics: business-intelligence, data-analytics, data-science, machine-learning
- Homepage:
- Size: 27.3 KB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
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README
# π Hi, I'm MAYANK YADAV
### Data Analyst | Business Analyst | Insights-Driven Decision Making | Predictive Modeling Enthusiast
I specialize in transforming complex data into actionable insights that drive business strategies. With extensive experience in **data analytics**, **visualization**, and **predictive modeling**, I bring a unique approach to analyzing data trends and solving problems using tools like Python, SQL, Power BI, and Excel.
---
## π‘ Skills & Expertise:
[](https://github.com/mayankyadav23)
[](https://github.com/mayankyadav23)
[](https://github.com/mayankyadav23)
[](https://github.com/mayankyadav23)
[](https://github.com/mayankyadav23)
[](https://github.com/mayankyadav23)
[](https://github.com/mayankyadav23)
[](https://github.com/mayankyadav23)
[](https://github.com/mayankyadav23)
[](https://github.com/mayankyadav23)
- **Data Cleaning & Preparation**: Ensuring data quality for accurate insights.
- **Exploratory Data Analysis (EDA)**: Deriving key trends from raw data.
- **Data Transformation**: Processing and converting raw data into a usable format.
- **Data Profiling**: Assessing data quality and ensuring it meets analysis standards.
- **Data Modeling**: Structuring datasets for analysis and machine learning tasks.
- **Data Visualization**: Creating dynamic dashboards using **Power BI**, **Tableau**, and **Excel**.
- **Predictive Modeling**: Using machine learning to forecast trends and outcomes.
- **Storytelling with Data**: Communicating insights effectively through reports and presentations.
---
## π Technologies & Tools:
| **Languages & Tools** | **Expertise** |
|-----------------------------|--------------------------------------------------------|
|  | Pandas, NumPy, Scikit-Learn, Matplotlib, Seaborn |
|  | PostgreSQL, MySQL |
|  | Advanced Functions, Power Query |
|  | DAX, Visualizations |
|  | Data Analysis |
|  | Traffic Analysis, Conversion Tracking |
|  | Documentation, Reports |
|  | Presentations, Data Storytelling |
|  | Communication, Email Management |
|  | Version Control, Collaboration |
---
## π§ Featured Projects:
### [T20I-World-Cup-2024-Analysis](https://github.com/mayankyadav23/T20I-World-Cup-2024-Analysis)
π **Exploring the 2024 T20 World Cup!**
Dive into a detailed Jupyter Notebook showcasing player performances π, match stats π, and team insights from the 2024 T20 World Cup.



---
### [Data-Analysis-with-Python](https://github.com/mayankyadav23/Data-Analysis-with-Python)
π **Powering data-driven insights with Python**
This repository showcases data analysis projects using Python libraries like Pandas, NumPy, Matplotlib, and Seaborn. Projects include medical data visualization, time series analysis, and more.




---
### [Movie-Recommendation-Engine-ACG](https://github.com/mayankyadav23/Movie-Recommendation-Engine-ACG)
π₯ **Your next favorite movie, predicted!**
A Python-based project that suggests movies based on user input. Using a pre-calculated similarity matrix of 4,800+ movies, it ranks and displays the top 30 recommendations.


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### [Sales-Forecasting-ACG](https://github.com/mayankyadav23/Sales-Forecasting-ACG)
π **Predicting sales trends using data science**
Using a dataset of 8,500+ entries, this project develops a predictive model for sales based on product and store attributes.



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### [Air-BNB-Data-Analysis](https://github.com/mayankyadav23/Air-BNB-Data-Analysis)
ποΈ **NYC Airbnb Listings Analysis**
Data analysis of NYC Airbnb listings focusing on key metrics such as host performance, neighborhood trends, pricing, and customer reviews.


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### [Pizza-Sales-Analysis](https://github.com/mayankyadav23/Pizza-Sales-Analysis)
π **Discovering the secret behind top-selling pizzas!**
Using SQL to analyze 20,000+ pizza sales data and uncover patterns in customer preferences, top-selling pizzas, and peak order times.


---
### [Accenture-North-America](https://github.com/mayankyadav23/Accenture-North-America)
π **Data Analytics for a social media client**
In this job simulation, I analyzed datasets for a social media client, providing insights through visual presentations.


---
### [Goldman-Sachs-SE](https://github.com/mayankyadav23/Goldman-Sachs-SE)
π **Cracking the leaked password database**
Part of the Goldman Sachs Software Engineering virtual internship, I solved a password database challenge and produced a detailed analysis.


---
### [Quantium-Data-Analytics](https://github.com/mayankyadav23/Quantium-Data-Analytics)
π **Analyzing customer transaction data**
Through the Quantium Data Analytics Job Simulation, I analyzed customer transaction data and provided strategic insights for business decisions.


---
### [TATA-Data-Visualization](https://github.com/mayankyadav23/TATA-Data-Visualization)
π **Driving informed decisions with data**
This project focuses on data visualization, creating impactful visuals to communicate business insights effectively for TATA.


---
### [Netflix-Data-Analysis](https://github.com/mayankyadav23/Netflix-Data-Analysis)
π¬ **Exploring Netflix Data**
A comprehensive analysis of Netflixβs data using PostgreSQL, focusing on database normalization, reducing redundancy, and optimizing query performance.



---
### [Blink-It-Analysis-Report](https://github.com/mayankyadav23/Blink-It-Analysis-Report)
π **Analyzing Blinkitβs sales and customer satisfaction**
A Power BI dashboard analyzing Blinkitβs total sales, item visibility, and customer ratings.


---
### [Used-Cars-Price-Prediction](https://github.com/mayankyadav23/Used-Cars-Price-Prediction)
π **Predicting used car prices**
Predicts car prices with **92% accuracy** using a **Random Forest model**. It takes you through data cleaning, feature engineering, and model evaluation.



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## π What Iβm Focusing on Now:
- **Advanced Data Visualization**: Enhancing skills in Power BI and Tableau.
- **Time Series Forecasting**: Predicting future trends using advanced models.
- **Data Science in Business**: Applying machine learning techniques to real-world business challenges.
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## π« Connect with Me:
[](https://www.linkedin.com/in/mayankyadv)
[](https://github.com/mayankyadav23)
[](mailto:mayanky075@gmail.com)
---
## π± Always Learning:
- Enhancing my knowledge of **machine learning** models.
- Best practices for **business reporting** and **data storytelling**.
- Advanced **SQL** and database optimization techniques.