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Gulfan Khan

@gulfan

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I build end-to-end analytics pipelines that turn data into business recommendations.

India

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What I'm looking for

I'm looking for a data-focused role where I can build end-to-end analytics pipelines, create dashboards, and turn data into clear business recommendations while continuing to grow in SQL, Python, Power BI, and machine learning.

I analyze retail, sales, and employee data through Python, SQL, and Power BI, turning findings into practical business recommendations rather than just charts.

In my Customer Shopping Behavior Analysis project, I analyzed 3,900 retail transactions, segmented customers with PostgreSQL, and built an interactive Power BI dashboard. I recommended subscription incentives after finding non-subscribers generated $170K in revenue versus $63K from subscribers.

For Superstore Sales Analysis, I processed 9,994 sales records through a Python-to-SQL-to-Power BI pipeline, reducing manual analysis time by 40%. My analysis showed discounts above 30% reduced profitability by 15% and projected an 8% revenue increase with a 6% profit-margin improvement.

I've also built IoT applications with Arduino, Raspberry Pi, MQTT, HTTP, ThingSpeak, and AWS IoT, and developed a TensorFlow speech emotion recognition model using MFCC-based feature extraction.

Experience

Work history, roles, and key accomplishments

Embedded Systems & IoT Trainee

Emertxe Information Technologies

Aug 2023 - Sep 2024 (1 year 1 month)

Built sensor-integration mini-projects in Embedded C/C++ on Arduino and Raspberry Pi, independently debugging hardware-software issues. Deployed real-time IoT applications using MQTT and HTTP protocols to stream sensor data to cloud dashboards.

C++Arduino Raspberry Pi MQTT HTTP ThingSpeak AWS IoT Embedded Linux

Education

Degrees, certifications, and relevant coursework

Anjuman Institute of Technology and Management

Bachelor of Engineering, Computer Science

2019 - 2023

Grade: 7.54

Bachelor of Engineering in Computer Science with a GPA of 7.54. Coursework included Data Structures, Algorithms, Database Management, Machine Learning, and Computer Networks.