Hi, I am Madhav Bhatia.
I drive growth with strategic analytics insights
From analyzing user navigation and search engine results at LatentView Analytics, to improving consumer experience and occupancy rates at OYO, my journey in data has been marked by growth, insights, and innovation.
Currently, my focus is on using data to optimize product experiences, a passion kindled by hands-on work with data tools like SQL, Python, and Google Analytics.
Looking ahead, I'm eager to explore new challenges, apply my adaptability, and utilize my robust analytical skillset. To me, data isn’t just numbers or code—it's the key to unlocking efficiency, innovation, and the next big breakthrough.
My unique combination of skills in product analytics, A/B testing, ETL and data pipeline construction, and machine learning, empowers me to deliver valuable insights, drive impactful decisions, and contribute effectively to any organization's success. Let's redefine what a Data DareDevil can do together!
I occasionally share insights on the tech and product world. You can subscribe to my newsletter and stay updated with the latest information.
Projects
Random Fact Joke Generator
A fun and engaging web application that serves up jokes based on random facts. This project showcases the use of LLMs, combining humor with the power of technology.
- Python Flask
- Machine Learning
- HTML/CSS/JavaScript
- Ubuntu Server
- Oracle Compute Instance
Anime Recommender System
This project encompasses the entire workflow from data warehousing to model deployment, creating an Anime Recommender System. Technologies used include Python, Oracle Autonomous Data Warehouse, Talend, Docker, and deployment on an Oracle Compute Instance.
- Python
- Oracle Data Warehouse
- Talend
- Docker
- Oracle Compute Instance
EduTask
EduTask is a powerful web application designed to assist students and educators in managing and understanding academic syllabi. It leverages AI to extract tasks and requirements from syllabus documents, enabling better planning and academic success.
- Python Flask
- Unstructured API
- LangChain
- HTML/CSS/JavaScript
- Vector Database
- Machine Learning
MavenToys Monthly Sales Dashboard
This Excel dashboard project showcases a Regional Dashboard for Revenue, Store Performance, and Top and Worst Products for MavenToys. It's an insightful tool for analyzing monthly sales data.
- Excel
- Data Visualization
Python: LinkedIn Data Analysis
In this project, I used Python to extract and analyze data about product analyst jobs on LinkedIn. I used this data to improve my LinkedIn Skills section and my resume. I used selenium, BeautifulSoup, matplotlib, pandas, and nltk to extract, gather, clean, and visualize data.
- Python
- Selenium
- BeautifulSoup
- Matplotlib
- Pandas
- Numpy
- NLTK
SQL: Olympic Data Exploration
In this project, I used Structured Query Language (SQL) to analyze the Olympic Data, which contains information about all the players who participated in the Olympics and all the events over the years. I used SQL commands, including joins and aggregate functions, to answer various questions about the data.
- SQL
- Joins
- Aggregate Functions
SQL: Explore Credit Card Data
In this project, I used Structured Query Language (SQL) to analyze the Credit Card Data, which contains information about credit card type and expenditure. I used SQL commands, including joins and aggregate functions, to answer various questions about the data.
- SQL
- Joins
- Aggregate Functions
Skills
- Statistics: Regression Models (Linear, Multilinear, Logistic), Decision Tree, Hypothesis Testing
- Analytical Tools: Tableau, MS Excel, MS PowerPoint, MS Word
- Agile Methodologies: Certified ScrumMaster® (CSM®), Agile Project Management
- Databases: MySQL, BigQuery, Oracle DataWarehouse, Azure DataWarehouse
- Languages: Python (NumPy, Pandas, Scikit-learn), SQL, R, VBA