End-to-End Data Analytics 📊💻🔍

Kaustubh Bhiwsankar

Data Scientist
Data Scraper
pandas
Python
Tableau
KPMG Australia
Hello! 👋 I'm Kaustubh, a seasoned data analyst with a passion for turning raw data into actionable insights. I specialize in end-to-end data analytics projects, offering a comprehensive suite of services from data cleaning to exploratory data analysis (EDA), visualizations, dashboarding, and even model building. 🚀
Keep reading to see how I provided sales solutions for a medium sized bike company in Australia, including Geospatial Insights 🗺️🌏

Process :

1. Data Cleaning 🧹💼

I start by meticulously cleaning and pre-processing your raw data to ensure accuracy and reliability. Handling missing values, outliers, and standardizing formats, I lay the foundation for robust analysis.

2. Exploratory Data Analysis (EDA) 📈📊

Harnessing the power of statistical methods and visualization tools, I dive deep into your data, uncovering patterns, trends, and outliers. This phase not only enhances data understanding but also serves as a precursor to informed decision-making.

3. Visualizations 📉📊

I create stunning and insightful visualizations to make complex data easily understandable. Whether it's interactive charts, graphs, or heatmaps, I use tools like Matplotlib, Seaborn, and Plotly, Folium to bring the data to life. I derived that people living in the coastal areas are much more likely to purchase a bike.

4. Customer Segmentation 🔗⛓️

I dug deep into the use case for the case which was to find out the most valuable customers and to predict them, I used machine learning approaches with scikit-learn and k-means to make customer segment clusters and used RFM Analysis to identify the most valuable customers.

5. Dashboarding 📲📈

Transforming insights into actionable intelligence, I design interactive dashboards using tools like Tableau. These dashboards provide a real-time, user-friendly interface for tracking key performance indicators and making data-driven decisions.

6. Model Building 🤖🔍

Extracted key features and built non-linear models to predict the customer segments accurately which had a great impact on targeted marketing campaigns.
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