Interests
- Business intelligence
- SQL-based data analysis
- Data cleaning & validation
- Exploratory data analysis
- Power BI dashboards
- Customer analytics
- Supply chain analytics
- Predictive modeling
- Machine learning applications
My Focus
I'm Akash Chauhan, and my work sits at the intersection of data analysis, business intelligence, and applied machine learning. I enjoy the full process — from raw, messy data to clean, structured datasets and finally to dashboards and models that answer real questions.
My primary specialization is Data Analytics: SQL-based analysis, Excel and Pivot Table workflows, Python EDA, KPI development, and interactive Power BI dashboards. I also work on Data Science and Machine Learning problems, including classification, regression, clustering, and NLP.
What I Work On
I enjoy solving problems through end-to-end workflows — cleaning and validating data, exploring patterns, building dashboards, testing models, and translating findings into business recommendations. Recent projects span supply chain operations, e-commerce customer analytics, conversion funnel behavior, HR attrition, and practical ML apps using Flask and Streamlit.
My Development Approach
I use AI tools as productivity aids for repetitive implementation, debugging, documentation, and prototyping. I focus my own effort on project logic, integration, testing, and delivering working solutions. I aim to be transparent about how I build — combining good engineering habits with modern productivity tooling.
Start with the question — not the tools. Then choose the right workflow.
From raw data cleaning to dashboards, models, and recommendations.
Verify outputs, validate results, and deliver working solutions.
Use AI as an aid for repetitive work, not a substitute for logic.
Let's Connect
I'm open to data analytics roles, collaborations, and conversations about dashboards, business intelligence, and applied ML. Feel free to reach out through LinkedIn or email.