Akanksha Topale

Data Scientist | Statistical Analyst

At.Sulewadi Post. Sonawade Tal. Patan, Dist. Satara, 415211, Satara, IN.

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

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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

NPTEL (MOE, Govt. of India)

Machine Learning and Deep Learning - Fundamentals and Applications

NPTEL (MOE, Govt. of India)

Employability Skill Programme

Mahindra Pride Classroom, Naandi Foundation

Research Training

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

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.

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.