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.

• 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.

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

📊 Exploring the 2024 T20 World Cup!
Dive into a detailed Jupyter Notebook showcasing player performances 🏏, match stats 📈, and team insights from the 2024 T20 World Cup.

📈 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.

🎥 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.

📊 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.

🏙️ NYC Airbnb Listings Analysis
Data analysis of NYC Airbnb listings focusing on key metrics such as host performance, neighborhood trends, pricing, and customer reviews.

🍕 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.

🌟 Data Analytics for a social media client
In this job simulation, I analyzed datasets for a social media client, providing insights through visual presentations.

🔒 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.

📊 Analyzing customer transaction data
Through the Quantium Data Analytics Job Simulation, I analyzed customer transaction data and provided strategic insights for business decisions.

📊 Driving informed decisions with data
This project focuses on data visualization, creating impactful visuals to communicate business insights effectively for TATA.

🎬 Exploring Netflix Data
A comprehensive analysis of Netflix’s data using PostgreSQL, focusing on database normalization, reducing redundancy, and optimizing query performance.

📊 Analyzing Blinkit’s sales and customer satisfaction
A Power BI dashboard analyzing Blinkit’s total sales, item visibility, and customer ratings.

🚗 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.

• 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.

• Enhancing my knowledge of machine learning models.
• Best practices for business reporting and data storytelling.
• Advanced SQL and database optimization techniques.