Headline

Business Analysis | SQL | Power BI | Java | Python | Requirement Gathering | ERP, CRM & eCommerce Integrations | Open to Full-Time Roles

About

Computer Science and Engineering graduate specializing in Data Science, with experience in business analysis, data analytics, and integration solutions. Through academic projects and industry exposure, I have worked on requirement gathering, stakeholder communication, business process analysis, KPI reporting, and data-driven decision-making. At APPSeCONNECT, I collaborated with domestic and international clients to support ERP, CRM, and eCommerce integration projects, helping translate business requirements into practical solutions. I enjoy solving business problems, working with people, and bridging the gap between business and technology. Currently open to full-time opportunities in Business Analysis, Technical Consulting, Data Analytics, and related technology roles. 📩 prasunkr.843@gmail.com

Location

Greater Kolkata Area

AI stack

gemini

langchain

notion

openai

Work experience

Techno Functional Apprentice at APPSeCONNECT, Jan 2026 - May 2026 · 5 mos, Kolkata, West Bengal, India, • Designed and implemented ERP–eCommerce–CRM integration workflows using REST APIs, handling XML and JSON data transformation across platforms. • Collaborated with Indian and international clients to gather business requirements and translate them into structured technical workflows and integration logic. • Tested and validated API endpoints using Postman to ensure accurate, real-time data synchronisation across connected systems. • Acted as a technical liaison, simplifying complex integration architectures into actionable strategies for non-technical stakeholders.

Internship on Conversational Data Analysis with LLMs at VOIS, Sep 2025 - Oct 2025 · 2 mos, Remote, • Analyzed a 8,000+ title Netflix dataset using Python (Pandas, Plotly, Seaborn) to surface content trends and genre distribution insights • Delivered a visual report of findings using interactive Plotly charts highlighting regional content gaps

Internship on Artificial Intelligence & Machine Learning at All India Council for Technical Education (AICTE), Jun 2025 - Jul 2025 · 2 mos, Remote, Developed an Employee Salary Prediction model utilizing Python, Pandas, Scikit-Learn, and Jupyter Notebook. Practiced data preprocessing, feature engineering, and applied machine learning algorithms such as Linear Regression, Decision Trees, and Random Forests for regression and feature importance analysis. Technologies & Skills : Python, Pandas, scikit-learn, Jupyter Notebook, data preprocessing, EDA, regression models, feature engineering, model evaluation.

Education

Bachelor of Technology - BTech, Computer Science and Engineering (CSE) with specialization in Data Science, MCKV institute of engineering