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https://github.com/iankitnegi/iankitnegi

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https://github.com/iankitnegi/iankitnegi

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Config files for my GitHub profile.

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README

        

![Data Ana(1)](https://github.com/user-attachments/assets/494836b2-edf1-462c-8a0a-bd4ba00a1101)

# Hello, I'm Ankit NegiπŸ‘‹
Welcome to my GitHub profile!
I'm on a journey to become a Data Analyst specializing in Machine Learning. 🌟

## About Me πŸ˜‡
Aspiring Data Analyst with a passion for numbers and data visualization, looking to align my career with Machine Learning.
- I love playing with numbers and enjoy the intricacies of mathematics.
- Experienced in Power BI and Excel for insightful data visualization.
- Practicing MySQL for data management and querying.
- Currently learning Python to advance my skills in data analysis and machine learning.

## Goals 🌏
My goal is to utilize my analytical skills to make data-driven decisions based on mathematical principles, starting as a data analyst and progressing towards expertise in machine learning, creating impactful solutions along the way.

## Skills πŸ’ͺ
- **Data Collection & Cleaning**: Proficient in collecting, cleansing, and organizing data from diverse sources, including databases, spreadsheets, and external systems. Ensuring high data quality and integrity.
- **Data & Statistical Analysis**: Skilled in analyzing data using statistical techniques and data mining to identify trends, patterns, and actionable insights.
- **Reporting & Visualization**: Skilled in creating compelling reports, dashboards, and visualizations using Power BI and Excel to make complex information clear and support informed decision-making.
- **Problem Solving & Critical Thinking**: Use data-driven approaches to solve business problems, optimize processes, and make data-informed decisions.
- **Data Quality & Integrity**: Committed to performing thorough data quality assessments and stress tests to guarantee reliable and trustworthy data.

## Projects πŸ“š
**πŸ›΅ [MARKET RESEARCH ANALYSIS](https://github.com/iankitnegi/Tableau_EV_Project)**
**Domain**: Automotive
**Date**: 08/2024
**Description**: Conduct ad hoc market research for AtliQ Motors in the EV/Hybrid Vehicles Industry for data-driven decisions.
**Technologies**: Tableau, MS-Excel
**Key Features**:
1. Ola Electric led the 2-wheeler EV market in FY 2023-2024 with 1.58M units sold; Goa tops 2-wheeler EV adoption at 17.99%.
2. Karnataka surpassed Delhi in 2024 EV sales and penetration, driven by favorable policies.

**🀯 [EXPLORATORY DATA ANALYSIS](https://github.com/iankitnegi/Python_Projects)**
**Domain**: Hospitality
**Date**: 07/2024
**Description**: Performed data analysis on Hotels dataset using pandas in Python to uncover booking patterns and revenue insights.
**Technologies**: Python, Pandas, Numpy
**Key Features**:
1. Identified the revenue contributions of different booking platforms, enabling targeted marketing and resource allocation.
2. Uncovered seasonal booking patterns, allowing for strategic pricing adjustments and promotional planning during peak periods.

**πŸ–‹οΈ [ADHOC ANALYSIS](https://github.com/iankitnegi/SQL_AdHoc_Analysis_Project)**
**Domain**: Cosumer Goods
**Date**: 06/2024
**Description**: Perform ad hoc analysis for Atliq Hardwares to extract actionable insights for swift, data-driven decision-making by management.
**Technologies**: SQL, MySQL, Joins, Subqueries, CTE
**Key Features**:
1. Wrote complex SQL queries for data extraction & analysis.
2. Optimized SQL queries for improve performance and efficiency.

**πŸ’³ [CREDIT CARD RECOMMENDATION](https://github.com/iankitnegi/PowerBI_Banking_Project)**
**Domain**: Banking
**Date**: 05/2024
**Description**: Developed a comprehensive analysis dashboard using Power BI to visualize usage, identify trends, patterns and uncover insights.
**Technologies**: Power BI, Power Query, DAX
**Key Features:**
1. Demographic classification / Spending Insights
2. Credit Card Feature Recommendations

**πŸ–± [SALES & FINANCE REPORT](https://github.com/iankitnegi/Sales-Finance-Analysis-Report)**
**Domain**: Sales
**Date**: 04/2024
**Description**: Created detailed reports using MS-Excel, including Pivot Tables and Power Pivot, to provide monthly and yearly sales comparisons.
**Technologies**: MS-Excel, Pivot Table, Power Pivot
**Key Features**:
1. Reports based upon the template provide by stakeholders.
2. Monthly and yearly sales comparisons

**πŸ•[PIZZA SALES](https://github.com/iankitnegi/SQL_Pizza_Sales_Project)**
**πŸ§‘β€πŸ€β€πŸ§‘[HR ANALYTICS](https://github.com/iankitnegi/HR_Analytics)**
**πŸ˜…[SALES ANALYTICS](https://github.com/iankitnegi/Excel_Sales_Dashboard)**

## Languages/Tools πŸ”ͺ


python logo
jupyter logo
mysql logo
numpy logo
pandas logo

## Let's Connect 🀝
πŸ“§ [Email]([email protected]) πŸ’Ό [LinkedIn](https://www.linkedin.com/in/iankitnegi/) πŸ“š [Portfolio](https://codebasics.io/portfolio/Ankit-Negi) 🐦 [Twitter](https://x.com/rajputankitnegi) ▢️ [YouTube](https://www.youtube.com/@rajputankitnegi) 🧩 [Kaggle](https://www.kaggle.com/rajputankitnegi) πŸͺ€[Tableau](https://public.tableau.com/app/profile/ankit.negi7687/vizzes)

Let's explore the world of data together! Feel free to reach outβ€”I'm always open to new opportunities and collaborations. πŸš€