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Data Science with 1+ years in Data Science & Machine Learning
Motivated and detail-oriented postgraduate student pursuing M.Sc. in Statistics with a strong foundation in mathematics, statistical inference, and data analytics. Proficient in tools such as R and Python. Demonstrated ability to lead and collaborate through project work and nationally-level hackathons. Currently working on a research project focused on early detection of Alzheimer's disease using statistical risk scoring models. Open for job/internship and entry-level opportunities in data science, analytics, or research domains.
DAV Public School
High School (10th)
N/A – May 31, 2019
Kumaon University
Bachelor of Science · Mathematics
N/A – June 30, 2024
Central University of Haryana
M.Sc. · Statistics
N/A – June 30, 2026
St. Peter's Sr. Sec. School
Senior Secondary (12th)
N/A – May 31, 2021
COVID-19 Trend Analysis
June 20, 2026 – Present
Modelled spread patterns and analysed fatality rates.
CO2 Emission Study
June 20, 2026 – Present
Examined environmental impact using multivariate analysis.
Wage Disparity Analysis (USA)
June 20, 2026 – Present
Identified patterns using regression techniques.
Development of a Statistical Risk Scoring Model for Early Detection of Alzheimer's Disease using Demographic, Cognitive, and Clinical Indicators
January 1, 2026 – May 1, 2026
Built an end-to-end Alzheimer's Disease prediction model in Python using Logistic Regression (80.07%) and Random Forest (85.57%), incorporating EDA, outlier detection, correlation analysis, feature scaling, and p-value significance testing on 15 clinical and demographic indicators.
Time Series Trends in Neonatal Mortality and Neonatal Sepsis in India
June 1, 2025 – June 1, 2026
Worked on a time series analysis project using R. Applied smoothing techniques and decomposed year-wise variations in neonatal data; interpreted results in demographic context. Gained hands-on experience in dashboard creation using Google Data Studio / Looker Studio. Contributed to: Compiling state health budget envelopes (2010-2025) across Indian states & union territories, Collating health data from NQAS and Sample Registration System (SRS), Conducting literature reviews to support evidence-based health policy analysis.
Smart India Hackathon (SIH)
Unknown
June 1, 2026 – Present
Business Trainee Intern
Edu Station
January 1, 2025 – Present
Cultural Fit Analysis
The candidate's academic projects and research interests show a strong inclination towards impactful data science applications, particularly in health and social impact. Participation in a hackathon and a business trainee internship suggests a proactive and collaborative mindset. The breadth of projects (health, economic, environmental) indicates adaptability and a willingness to explore diverse domains, which contributes positively to cultural fit in a dynamic team.
Soft Skills & Operational Fit
The candidate demonstrates soft skills such as team leadership (Smart India Hackathon) and communication (implied by project descriptions and presentations). The project diversity suggests an ability to work on varied problems, which is beneficial for operational fit. However, without direct work experience, the operational fit in a fast-paced corporate environment is yet to be fully assessed.