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Data Science with less than a year in Machine Learning and Data Analysis.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Data Science Intern with hands-on experience in collecting, cleaning, preprocessing, and exploratory analysis of real-world data science problems. Applied Python, Pandas, NumPy, and Machine Learning algorithms for predictive analysis and built end-to-end ML projects. Skilled in EDA, feature engineering, and evaluating model performance using various metrics. Committed to developing structured ML workflows and deriving actionable insights from data.
GGSIPU
Bachelor of Technology · Information Technology
August 1, 2020 – June 30, 2024
Spinnaker Analytics
Data Science Intern
January 1, 2026 – Present
India
Breast Cancer 10-Year Mortality Risk Prediction
January 1, 2026 – June 1, 2026
Built machine learning models to predict 10-year mortality risk using structured clinical datasets. Performed comprehensive Exploratory Data Analysis (EDA) and feature engineering to improve model performance. Implemented classification algorithms to identify high-risk patient groups. Evaluated model performance using accuracy metrics and confusion matrix for validation. Developed a structured ML workflow covering data preprocessing, modeling, and result interpretation.
Sales Dashboard – Power BI
January 1, 2025 – December 31, 2025
Built an interactive Sales Dashboard integrating multiple data sources to the monitor key performance metrics. Designed dynamic charts and visualizations to identify sales trends and revenue patterns. Implemented KPI tracking to support business performance evaluation. Enabled data-driven decision-making through clear and structured visual reporting. Presented insights to stakeholders to improve strategic planning and operational efficiency.
Data Science and Artificial Intelligence
BIA
January 1, 2025 – Present
Data Science and Machine Learning
Internshala
January 1, 2022 – January 1, 2025
Cultural Fit Analysis
The candidate's projects demonstrate a practical, problem-solving orientation, aligning well with a data science role that requires applying theoretical knowledge to real-world scenarios. The diversity of projects (sales dashboard, medical risk prediction) shows adaptability and a broad interest in different data applications. The ongoing internship indicates a proactive approach to gaining industry experience. However, the experience level is entry-level, which might require more mentorship in a senior role.
Soft Skills & Operational Fit
The candidate's project descriptions indicate an ability to present insights to stakeholders, suggesting good communication and presentation skills. The structured approach to ML workflows implies an organized and methodical work attitude. However, without psychometric test results, a comprehensive assessment of stress handling and team collaboration is not possible.