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Ahana User

@ahanauser1

Final-year CS student specializing in data analytics, AI-based video analytics, and algorithm-driven solutions.

India
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What I'm looking for

I seek an entry-level role where I can apply data analytics, computer vision, and algorithm skills in a collaborative team to build impactful, data-driven products and grow technically.

I am a final-year Computer Science and Communication Engineering student with hands-on experience in Python, SQL, Power BI, and SAP ERP, delivering data-driven solutions and AI-based video analytics. I have applied algorithm optimization and developed projects in financial forecasting, automated vulnerability detection, and railway management systems, demonstrating practical impact and technical breadth.

I completed an internship at TATA Steel building a computer vision system for real-time safety monitoring and hold certifications in AI, data science, software development, DevOps, and cloud computing. I collaborate well in teams, solve complex problems, and translate datasets into actionable business insights.

Experience

Work history, roles, and key accomplishments

Education

Degrees, certifications, and relevant coursework

Kalinga Institute of Industrial Technology logoKT

Kalinga Institute of Industrial Technology

Bachelor of Technology, Computer Science and Communication Engineering

2022 -

Grade: CGPA 8.40

Activities and societies: Projects in cash flow optimization, CVE detection automation, and railway management system; internship at TATA Steel on computer vision for safety monitoring.

Final-year Bachelor of Technology student in Computer Science and Communication Engineering with practical experience in data analytics, AI-based video analytics, and algorithm optimization.

DK

Delhi Public School, Kalinga

12th (CBSE), Science (PCM)

Grade: 80%

Completed 12th grade (CBSE) in Physics, Chemistry, Mathematics with an overall score of 80%.

SS

St. Joseph’s Girls’ High School

10th (ICSE), General Education

Grade: 85%

Completed 10th grade (ICSE) with an overall score of 85%.

Tech stack

Software and tools used professionally

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