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Data Science with less than a year in Data Analytics & Machine Learning
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Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Artificial Intelligence undergraduate with strong interest in Data Analytics and hands-on experience in machine learning, data analysis, and dashboard development. Skilled in Python, Streamlit, and Power BI with a solid understanding of data preprocessing, model building, and visualization. Passionate about extracting insights from data and applying analytical thinking to solve real-world problems. To secure a Data Analytics / Al internship where I can apply my skills in data analysis, machine learning, and visualization to develop impactful solutions, gain industry experience, and continuously enhance my technical expertise.
Vijaybhoomi University
Bachelor of Technology (B.Tech) · Artificial Intelligence
August 1, 2024 – June 30, 2028
Student Academic Risk Prediction System (ML + Streamlit Dashboard)
June 24, 2026 – Present
Developed a machine learning system to classify students as “At Risk" or "Safe". Performed data preprocessing and EDA on academic and behavioral features. Implemented Logistic Regression, Decision Tree, and Random Forest. Selected Random Forest based on performance and stability. Achieved approximately 85% accuracy. Built an interactive Streamlit dashboard for real-time predictions. Visualized trends (attendance, GPA, study hours, sleep patterns). Generated probability-based insights and recommendations. Deployed the model as an interactive web application.
Data Analytics Dashboard (Streamlit)
June 24, 2026 – Present
Designed interactive dashboards to track performance metrics. Created KPIs and visual reports for decision-making. Enabled real-time interaction and improved data understanding.
Smart Health Prediction System (Machine Learning Project)
June 24, 2026 – Present
Built a machine learning-based health prediction system focused on day-to-day lifestyle and health awareness. Worked on the project independently over 2-3 weeks from idea generation to implementation. Implemented data preprocessing, model training, and prediction workflows using Python and Scikit-learn. Developed a system that predicts possible health conditions based on user inputs. Gained hands-on experience in machine learning pipelines, predictive systems, and application integration.
Arena - Python Mini Games Collection
June 24, 2026 – Present
Developed a gaming application using pure Python. Integrated 3 small interactive games into a single application. Implemented game logic, score tracking, and user interaction systems. Strengthened problem-solving and core Python programming skills through project development.
NISM Certification
SEBI
July 1, 2025 – Present
Cultural Fit Analysis
The candidate's projects are primarily academic and self-driven, focusing on core data science and ML applications. This indicates a strong interest in the field. The NISM certification suggests an interest in finance, which could broaden their applicability. However, the lack of professional experience and diverse project types beyond academic settings limits the assessment of cultural fit for a senior role requiring broader industry exposure and collaborative work.
Soft Skills & Operational Fit
The candidate demonstrates strong analytical and problem-solving skills, a disciplined learning approach, and an ability to explain technical concepts clearly. These traits suggest a good operational fit for roles requiring independent work and continuous learning. However, the resume lacks explicit examples of team collaboration in a professional setting, which is crucial for senior roles.