Headline

B.Tech IT’26 | Data Engineer & Data Analyst | Python, SQL, PySpark, Power BI, AWS | Ex-Infosys Springboard & Celebal Technologies | AWS AI & ML Scholar

About

I am a final-year B.Tech Information Technology student with hands-on experience in Data Analytics, Data Engineering, Python Development, and AI/ML. Through internships at Infosys Springboard, Celebal Technologies, Indian Statistical Institute (ISI), and other organizations, I have worked on SQL optimization, data visualization, time-series forecasting, machine learning models, and software development projects. My technical expertise includes Python, SQL, Power BI, PySpark, AWS, Machine Learning, Data Analysis, and Full-Stack Development. I enjoy transforming raw data into actionable insights and building scalable solutions that solve real-world problems. 🏆 AWS AI & ML Scholar 🏆 Open Source Contributor (SSOC'25) 🏆 Multiple internships across Data Science, Analytics, and Software Development I'm actively seeking opportunities in: • Data Analytics • Data Engineering • Python Development • Business Intelligence • Software Engineering Let's connect and discuss technology, data, and innovation.

Location

Kolkata

Work experience

AI Intern at Infosys Springboard, Nov 2025 - Jan 2026 · 3 mos, Remote

Open Source Developer at Social(Formerly Script Foundation), Jun 2025 - Aug 2025 · 3 mos, Delhi, India, 🔹️Contributing to open source projects focused on community-driven software development and social impact. 🔹️Collaborating with developers worldwide to improve codebases, resolve issues and implement new features. 🔹️Gaining hands-on experience in version control, collaborative coding practices and real-world project workflows while strengthening my problem-solving and development skills.

Summer Internship at Celebal Technologies, Jun 2025 - Aug 2025 · 3 mos, Jaipur, Rajasthan, India

Data Analyst at Grace Ladies Global Academy, Apr 2025 - Jul 2025 · 4 mos, Morrisville, North Carolina, United States, 🔹️Researched and catalogued private Women's, IT/Business, and Arts colleges, deliberately excluding government and medical institutions to meet project scope. 🔹️Organized 100 % of records in a hierarchical format (Country > State > District > City) within Google Sheets, embedding advanced filters and validation rules to maintain data integrity. 🔹️Produced concise dashboards and gap analyses that identified underserved districts for potential course expansion. 🔹️Added tailored GLGA course suggestions to each institutional profile, demonstrating both domain knowledge and an aptitude for aligning data with business objectives.

Data Science Intern at IDEAS Technology Innovation Hub @ Indian Statistical Institute Kolkata, Jan 2025 - Apr 2025 · 4 mos, Kolkata, West Bengal, India, 🔹️Conducted time series forecasting using ARIMA, STL decomposition, and moving averages on real-world weather datasets. 🔹️Performed data wrangling and feature engineering using Pandas and NumPy, ensuring data integrity and model readiness. 🔹️Developed interactive visualization dashboards and forecasting tools using Streamlit, Matplotlib, and Seaborn. 🔹️Integrated statistical modeling and Python-based automation to streamline forecasting workflows. 🔹️Completed 32+ hours of advanced training in Python for Data Science, Power BI, Vega-Lite, codeless ML platforms, and Streamlit app deployment. 🔹️Collaborated with research mentors on model evaluation, iterative optimization, and report generation for final project submission.

Education

Bachelor of Technology - BTech, Information Technology, Techno India College of Technology

H.Sc, Science, Kashinath Lahiri public school