Who I Am
I am a data science enthusiast focused on solving real-world problems using data. I work across data cleaning, analysis, machine learning, and deployment to build complete systems.
Data Analytics | Data Science | Business Intelligence
I build data-driven solutions using Python, SQL, and Machine Learning to solve real-world problems.
From healthcare systems like MediScan to career analytics engines, my work focuses on combining machine learning with real-world usability and decision-making.
A short introduction to how I think, build, and communicate with data.
I am a data science enthusiast focused on solving real-world problems using data. I work across data cleaning, analysis, machine learning, and deployment to build complete systems.
I build end-to-end projects in healthcare, HR analytics, sustainability, and career readiness. My focus is not just models, but creating systems that provide actionable insights and real user value.
My academic journey and focus areas in technology and data science.
Sushila Devi Bansal College of Technology
Current CGPA: 6.79 | Final Year (8th Semester)
Focus: Machine Learning, Data Analysis, and Real-World Project Development
Guru Kripa High Secondary School, Ghatabillodhar
Percentage: 67.4%
Focused on building real-world projects in healthcare, HR analytics, and sustainability, along with hands-on experience in machine learning, data analysis, and deployment.
A recruiter-friendly snapshot of the work, tools, links, and deployment status for each build.
ML-powered healthcare system that predicts diseases from symptoms, provides severity-based guidance, and suggests nearby hospitals.
ML-based system that evaluates student readiness using clustering and generates personalized career insights and improvement plans.
Time-series forecasting project analyzing global CO₂ trends using machine learning and recursive vs direct prediction strategies.
]Machine learning system that predicts employee attrition and provides insights to reduce workforce turnover.
Space for a forecasting project featuring trend modeling, business KPIs, and interactive scenario planning.
Placeholder card for a churn prediction or segmentation project with metrics, model interpretation, and retention strategy.
A toolkit for analysis, experimentation, dashboards, and communicating insights clearly.
Python, SQL, HTML, CSS
Pandas, NumPy, Excel, data cleaning, feature engineering, exploratory data analysis (EDA)
Matplotlib, Seaborn, Tableau, data visualization, dashboard design, insight communication
Scikit-learn, Statsmodels, SciPy, classification, regression, model evaluation
GitHub, VS Code, Streamlit, Flask, Jupyter Notebook
Problem solving, data storytelling, analytical thinking, communication
Courses and certifications that support my data science and machine learning journey.
A direct path for recruiters who want a quick downloadable summary.
Download my resume to learn more about my experience, projects, and technical skills.
Download ResumeA clean final section for recruiters, collaborators, and hiring teams to reach out.