Soumik Das
@soumikdas3
Aspiring Data Analyst and developer turning Python/SQL data into actionable insights and dashboards for better decisions.
What I'm looking for
I’m a final-year B.Tech CSE (Data Science) student with hands-on experience in Python, SQL, Excel, Power BI, and data analysis. I’m passionate about transforming data into actionable business insights by combining analytical thinking with practical implementation.
Through internships as a Software Developer Intern at Xeta Labs and a FullStack Web Development Intern at AILABS, I built responsive, user-friendly interfaces and integrated front-end and back-end components for smooth data flow. I also focused on debugging, performance optimization, and improving workflow usability through scalable UI and dynamic forms.
My projects reflect how I connect data to decisions: I analyzed credit card transactions, cleaned data in Excel, queried insights with SQL, and delivered an interactive Power BI KPI dashboard. I also developed an AI-based image caption generator using VGG16 for feature extraction and LSTM for text generation, integrating the workflow with Keras and a Streamlit interface.
Experience
Work history, roles, and key accomplishments
Software Developer Intern
Xeta Labs
Jan 2026 - Present (5 months)
Developing a responsive Inventory Management System, building dynamic forms, inventory tracking, and interactive UI components to improve usability and workflow. Designing scalable layouts for efficient stock monitoring and data organization.
Full-Stack Web Dev Intern
AI Labs
Jun 2024 - Aug 2024 (2 months)
Built dynamic web applications using HTML, CSS, Django, and Bootstrap to deliver responsive, user-friendly interfaces. Integrated frontend and backend components to support reliable data flow while strengthening debugging and performance optimization skills.
Education
Degrees, certifications, and relevant coursework
The Neotia University
Bachelor of Technology (B.Tech), Computer Science Engineering (Data Science)
2022 - 2026
Grade: 8.38/10
Pursuing a B.Tech in Computer Science Engineering with a specialization in Data Science (2022–2026). Maintains a CGPA of 8.38/10.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Job categories
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