I'm Akash Chauhan — a data-focused problem solver working across SQL, Python, Excel, and Power BI to clean data, build dashboards, and deliver actionable business insights. I also build practical machine learning solutions.
Data Analytics • Data Science
I focus on data analysis, dashboards, business intelligence, and machine learning. My work spans data cleaning and validation, exploratory data analysis, KPI development, and end-to-end analytical workflows that connect raw datasets to practical business decisions.
KPIs, dashboards, and decision-ready reporting
Cleaning, validation, and pattern discovery
RFM, funnels, inventory, and revenue analysis
Classification, regression, clustering, NLP
Strongest analytics and business intelligence projects first, followed by selected ML and AI applications.
End-to-end supply chain analytics project covering inventory management, warehouse performance, stockouts, backorders, and revenue trends — delivered through SQL cleaning, Excel pivot analysis, Python EDA, and an interactive Power BI dashboard.
500K+ transactions cleaned in Python and segmented using RFM scoring and K-Means into VIP, Loyal, Regular and Lost customer segments.
120K session dataset analyzed across a 5-stage funnel with SQL analysis, Power BI dashboards, and a purchase-prediction Streamlit app.
End-to-end HR analytics with SQL analysis, EDA, Power BI dashboard, and a Streamlit prediction app comparing Logistic Regression with Random Forest.
Flask app that accepts a CSV, profiles the dataset, detects missing values, duplicates and outliers, and generates a professional PDF report.
Practical data science projects spanning classification, clustering, NLP, and generative AI.
Career prediction app that maps user interests to one of 10 IT careers and generates a personalized learning roadmap using Gemini.
Random Forest–powered fitness app that recommends workouts based on age, BMI, goal, and fitness level, with built-in 60-second timers.
Data Analytics is my primary focus, backed by practical Data Science and Machine Learning experience.
Open to data analytics roles, collaborations, and conversations about business intelligence, dashboards, and applied machine learning.