Digital Music Store Data Analysis
Optimised revenue streams for a digital music store using PostgreSQL. Identified that the top 5% of users generate 30% of total revenue, enabling targeted retention strategies.
Data Analyst · Power BI Developer · Workflow Automation Builder
I turn raw data into actionable insight and build automation systems that actually work — packaged in clean, premium digital experiences.
About Me
Hi! I'm Himanshu — an Data Analyst and freelance automation developer focused on turning raw data into actionable insights and smart workflow solutions. I work with Power BI, SQL, Python, Excel, and automation tools like n8n to build interactive dashboards, automate repetitive tasks, and improve reporting efficiency.
I enjoy solving real-world business problems through analytics, automation, and modern digital solutions. My experience includes projects related to Finance, E-commerce, HR, and Marketing analytics, where I combine data storytelling with clean and user-friendly design to create impactful digital experiences.
Interactive dashboards, custom DAX measures, real-time reporting and visual storytelling.
Complex queries, CTEs, predictive modeling, EDA with Pandas, Matplotlib and Scikit-learn.
Copilot, PandasAI, workflow automation and AI-assisted data storytelling to reduce manual work.
Tech Stack
A curated set of technologies I use to analyse data, ship automation, and build products.
15+
Projects Completed
8+
Dashboards Built
10+
Automation Workflows
100K+
Rows Analyzed
Portfolio
Real-world projects with measurable outcomes — from data pipelines to production web apps.
Optimised revenue streams for a digital music store using PostgreSQL. Identified that the top 5% of users generate 30% of total revenue, enabling targeted retention strategies.
Uncovered customer purchasing patterns using Pandas and Matplotlib. Identified a 25% underperformance in weekend sales, informing new promotional campaigns.
Built an end-to-end interactive Power BI solution for hospital operations, identifying key capacity issues and delivering 100% data visibility across the facility.
Developed ARIMA models to forecast retail sales, identifying strong Q4 seasonal trends and enhancing inventory planning accuracy by 18%.
Applied K-Means clustering and PCA to segment customers into 3 distinct persona clusters, increasing recommendation CTR by 22%.
Background
Analytics Career Connect (ACC)
Analytics Career Connect (ACC)
Delhi University
G.B.S.S.S No 4 Sarojini Nagar
Contact
Available for freelance, contract, and full-time opportunities. Drop me a message — I reply within 24 hours.
himanshu.data.acc@gmail.com
linkedin.com/in/himanshu-pathak-33680b340
GitHub
github.com/himanshupathak8830-blip
Available for new projects — May 2026