Excel
Project
Python
Project
PowerBI
Projects
Me
Hello, I’m Sahim — a data professional with a B.Tech in Computer Engineering from Jamia Millia Islamia and currently pursuing an MBA at Aligarh Muslim University.
I believe every dataset has a meaningful story, and I enjoy uncovering it through structured analysis and visualization.
While I haven’t yet worked in a formal organization, I have built several real-world projects that address business challenges. From analyzing social media trends to creating real-time weather dashboards, I have applied Power BI, SQL, Excel, Python, and Tableau to clean, model, and present data effectively. These projects have strengthened my skills in data preparation, visualization, and reporting.
I am eager to contribute to a professional team, apply my skills in meaningful projects, and continue learning while driving data-informed decision-making.
Skills
Power BI
Python
SQL
C++
MS Excel
Advanced Excel
Power Query
Jupyter Notebook
Projects
Domain/Function: Business Intelligence, Financial Data Analysis, Market Trends, Forecasting
Developed a comprehensive sales and financial insights dashboard for AtliQ Technologies. Applied ETL methods, Power Query, and Power Pivot to analyze customer trends, market performance, and P&L reports, delivering clear, actionable business insights.
Domain/Function: Computer Vision
Designed a robust computer vision model in Python/OpenCV to detect hand gestures for dynamic brightness control with over 95%
test precision. Enabled hands-free brightness adjustment by recognizing index-thumb movement, improving accessibility for ~80% of surveyed
users.
Domain/Function: Data Analytics & Visualization
Developed “Business Insights 360,” a Power BI dashboard for AtliQ Hardware to replace Excel-based reporting with clear, interactive, department-level insights that improve data-driven decision-making.
Domain/Function: Business Intelligence , Data Analytics , Data Visualization
Built a fully dynamic and interactive weather dashboard in Power BI using real-time data from a weather API.
Parsed JSON directly (no CSVs), visualized air quality, temperature, humidity, wind, and more across 7 cities.
Auto-refresh enabled via Power BI Service.