Exploring Factors Influencing Normal and Caesarian Deliveries
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Summary
Analyzed factors influencing normal vs. Caesarean deliveries by age, health, and location to support improved maternal care strategies.
About
Dynamic M.Sc. Statistics graduate adept at transforming complex data into actionable insights through advanced statistical techniques, predictive modeling, and machine learning. Proficient in R, Python, and Excel, with hands-on experience in building and optimizing models, developing insightful Power BI dashboards, and managing databases with SQL. Eager to leverage strong analytical and technical skills to drive data-driven decision-making in innovative projects.
Work
District Statistical Office
|Intern
Kolhapur, Maharashtra, India
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Summary
Contributed to data collection and analysis initiatives within the District Statistical Office, supporting regional statistical reporting and government planning.
Highlights
Assisted in the collection and validation of local demographic and economic data, ensuring accuracy for official government reports.
Processed statistical surveys and datasets using established methodologies, contributing to comprehensive regional analyses.
Supported the generation of statistical reports, providing foundational data for government planning and decision-making.
Gained practical experience in government statistical operations and adherence to data management protocols.
Education
Yashvantrao Chavan Institute of Science, Satara | Karmaveer Bhaurao Patil University
Satara, Maharashtra, India
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Master of Science
Statistics
Grade: CGPA: 9.43
Rajarshi Chhatrapati Shahu College, Kolhapur | Shivaji University, Kolhapur
Kolhapur, Maharashtra, India
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Bachelor of Science
Statistics
Grade: CGPA: 9.24
Certificates
Python for Data Science
Issued By
NPTEL (MOE, Govt. of India)
Machine Learning and Deep Learning - Fundamentals and Applications
Issued By
NPTEL (MOE, Govt. of India)
Employability Skill Programme
Issued By
Mahindra Pride Classroom, Naandi Foundation
Research Training
Issued By
Yashvantrao Chavan Institute of Science
Skills
Statistical Analysis
Hypothesis Testing, Regression Analysis, Time Series Analysis, Multivariate Analysis.
Programming Languages
Python, R, SQL.
Data Visualization
Matplotlib, Seaborn, Plotly, PowerBI.
Machine Learning
Regression, Classification, Clustering, Time-Series Forecasting.
Deep Learning
Deep Learning Concepts.
Data Cleaning
Preprocessing, Handling Missing Values, Outliers.
Data Mining
Pattern Recognition, Predictive Modeling.
Database Management
MySQL, PostgreSQL.
Projects
Electricity Consumption Forecasting in Satara: A Machine Learning and Time Series Approach
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Summary
Applied ML and time series models to forecast electricity usage (2022-2024) and support energy planning and sustainability.
Farmers' Agricultural Study on Information Sources
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Summary
Explored farmers' use of digital and institutional sources for agricultural info; analyzed trends in fertilizer, crop, and seed usage.
Statistical Forecasting & Affordability Mapping in Urban Construction Planning
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Summary
Developed time series and regression models to forecast permit trends wages of various workers. Created an Affordability Index to identify budget-friendly wards, aiding data-driven urban housing strategies under NBO.