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Data Analyst with 1+ years in Statistical Analysis & Predictive Modeling
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Assessing your cultural and operational fit
Aspiring Data Analyst with a solid foundation in Statistical Analysis, Data Visualization, and Predictive Modeling. Skilled in Python (Pandas, NumPy), SQL, Excel, Power BI, R, and SPSS. Adept at analyzing large datasets to extract actionable insights that drive business and research decisions. Passionate about transforming data into meaningful stories through visualization and analytics.
University Of Allahabad
Master of Science · Statistics
July 1, 2023 – May 1, 2025
Ewing Christian College
Bachelor of Science · Statistics, Mathematics
July 1, 2019 – May 1, 2022
National Institute for Research in Environmental Health (NIREH), ICMR Bhopal
Research Intern
May 1, 2025 – July 1, 2025
Bhopal, Madhya Pradesh, India
Sales Analysis Dashboard
June 1, 2026 – Present
• Created an interactive Excel dashboard tracking sales performance across regions. • Used Pivot Tables, Slicers, and Conditional Formatting to identify top-performing sales executives and revenue trends. • Improved decision-making efficiency by visualizing KPIs and performance metrics.
Statistical Prediction on Environmental Hazards
June 1, 2026 – Present
• Built a multiple linear regression model to estimate Air Quality Index (AQI). • Processed environmental data and optimized features to improve prediction accuracy. • Delivered insights into key contributors to air pollution.
Statistical Analysis of Determinants of Depression in Indian Students
June 1, 2026 – Present
• Applied Logistic Regression, Random Forest, SVM, and Naive Bayes to predict depression risk factors. • Identified academic pressure, financial stress, and sleep deprivation as key predictors. • Achieved 84.6% classification accuracy through model tuning and validation.
Learning Microsoft Power BI
Infosys
June 1, 2026 – Present
Getting Started with Python
University of Michigan (Coursera)
June 1, 2026 – Present
What is Data Science?
IBM (Coursera)
June 1, 2026 – Present
Introduction to SQL
University of Michigan (Coursera)
June 1, 2026 – Present
Introduction to MS Excel
Simplilearn SkillUp (Microsoft)
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic background in statistics, coupled with projects in diverse areas like public health, sales, and environmental hazards, indicates a broad interest in applying data analysis across different domains. The certifications in Power BI, Python, SQL, and Excel show a commitment to continuous learning and skill development, which aligns well with a data-driven culture. The volunteer and presentation experience suggests a willingness to contribute and share knowledge.
Soft Skills & Operational Fit
The candidate's project descriptions indicate an ability to work independently on data analysis tasks, focusing on problem-solving and delivering insights. Participation in conferences and workshops suggests a proactive attitude towards learning and engagement within the statistical community. The internship experience demonstrates an ability to work with real-world datasets and apply statistical methods to public health issues.