Data Science student with hands-on experience in applying statistical and analytical methods to solve real-world problems. Skilled in Python, R, SQL, and data visualization tools such as Power BI. Strong foundation in ma…
Data Science student with hands-on experience in applying statistical and analytical methods to solve real-world problems. Skilled in Python, R, SQL, and data visualization tools such as Power BI. Strong foundation in machine learning, data analysis, and time series techniques, with a passion for leveraging data-driven insights to support decision-making and optimization.
<p>Built a full district-level dataset (2011–2024) by integrating rainfall, irrigation, socio-economic, and census indicators using IMD, SECC, and Jharkhand Irrigation Dept. datasets<br>
Developed forecasting pipelines using Linear Regression, Random Forest, Gradient Boosting, ARIMA and SARIMA to predict climate and socio-economic variables<br>
Modelled migration using OLS and machine-learning-based prediction framework, generating 5-year forecasts (2025–2029) and identifying high-migration districts like Pakur, Godda, Dumka<br>
Derived policy recommendations for reducing climate-driven migration through irrigation expansion, livelihood diversification, and climate-resilient agricultural planning</p>
<p>Analyzed datasets to identify trends and generate actionable insights<br>
Performed data cleaning and preprocessing using Excel<br>
Created analytical reports and visual summaries for business teams<br>
Assisted in exploratory data analysis for client-oriented projects</p>
Analyzed datasets to identify trends and generate actionable insights, Performed data cleaning and preprocessing using Excel, Created analytical reports and visual summaries for business teams, Assisted in exploratory data analysis for client-oriented projects
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