Data Science with less than a year in Machine Learning & Data Visualization.
AI is analyzing your overall score…
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Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Aspiring Data Science and Business Intelligence professional with hands-on experience in data preprocessing, exploratory data analysis (EDA), machine learning model development, and data visualization using Power BI. Passionate about transforming raw data into actionable insights through interactive dashboards, predictive models, and data-driven storytelling. Seeking an opportunity to apply strong analytical, visualization, and problem-solving skills to deliver impactful, data-backed solutions in a dynamic industry environment.
Haldia Institute of Technology
B.Tech · Computer Science (Data Science)
August 1, 2023 – June 30, 2026
Codveda Technologies
Data Science Intern – Machine Learning & Analytics
September 1, 2025 – Present
India
Qspiders
AI Engineer Intern – Career Guidance System
June 1, 2025 – August 31, 2025
India
Water Pollution Prediction using Machine Learning
June 1, 2025 – June 30, 2026
Analyzed water quality datasets to identify key pollution indicators and trends. Built predictive machine learning models to estimate pollution levels. Applied preprocessing, feature engineering, and evaluation techniques to improve model performance.
Cultural Fit Analysis
The candidate's projects and internships demonstrate a clear interest and alignment with the Data Science domain. The diversity in projects (water pollution prediction, career guidance system) shows a breadth of application for data science skills. The candidate is currently pursuing a B.Tech in Computer Science (Data Science), indicating a strong commitment to the field. However, the experience is primarily academic and internship-based, which might require mentorship in a professional setting.
Soft Skills & Operational Fit
The candidate's project and internship descriptions indicate an ability to work on structured problems and deliver functional solutions. The focus on end-to-end pipelines suggests an understanding of project lifecycle. However, without direct assessment data, specific soft skills like teamwork, leadership, or adaptability cannot be definitively evaluated.