Focus : Public Policy & Governance, Economic Data Analysis ,Machine Learning in Economic Forecasting ,Health Data Analytics (TB Research) ,Strategic Decision Making through Game Theory
Specifications : Data Analysis, Public Policy Research, and Economics, International Politics, Modelling, and Visualization Machine Learning for Economic Forecasting Game Theory Applications in Decision Making
Volunteering, Board Games/Puzzles, Dancing
Analytical economics graduate with strong skills in data analysis and policymaking using R programming, Python, and Power BI. Seeking an internship to apply technical expertise and leadership in a dynamic team environment.
Specialized in teaching economics and business, emphasizing real-world applications. Developed interactive curriculum to enhance engagement and comprehension, preparing students for academic success and promoting informed decision-making and critical thinking in economic and business principles.
Engaged in data analysis, market research, and economic trend analysis for Kerala using government data. Published two reports for the Government of Kerala, focusing on refining methodologies related to Tuberculosis (TB) and unemployment-inflation dynamics.
Conducted data analysis, market research, and economic trend analysis on U.S. labour markets and Federal Reserve unemployment rates. Contributed insights, refined methodologies, and ensured proper data cleaning.
Collaborated with teams to develop predictive models, applying Python and R for problem-solving. Focused on machine learning for image selection, spam call detection, and enhancing technical skills.
This project examines the lives of residents in Ashiana, Lavasa, exploring personal transitions and growth after moving to the community. It also evaluates security measures in place and identifies areas for enhancement. Additionally, the study addresses various challenges within the community, such as infrastructure, social, and environmental issues, aiming to create a more supportive environment. The research methodology combines interviews and questionnaires to capture qualitative and quantitative insights, offering a holistic view of the residents' experiences.
This project examines how the Indian monsoon influences energy demand and stock market trends, particularly in the technology sector. The monsoon season affects energy consumption across key industries like agriculture and manufacturing, which can directly impact stock performance. Through analyzing rainfall patterns and energy usage, the project aims to reveal how monsoon-driven changes influence market behavior, investor strategies, and stock fluctuations in the technology sector, providing valuable insights for future energy and market planning.
aim to explore the core functionalities of Excel, including data entry, formulas, and basic functions such as sorting, filtering, and summarizing data. We will also delve into more advanced features like pivot tables, chart creation, and conditional formatting, helping users develop skills for handling large datasets, performing statistical analysis, and creating visual reports.
A Project Charter is a foundational document that outlines the project's purpose, scope, objectives, stakeholders, deliverables, timeline, budget, and risks. It serves as the official approval to begin the project.
To analyze business processes, begin by mapping out each key process to understand how tasks are performed, identify bottlenecks, and evaluate inefficiencies. This analysis helps uncover gaps in workflow, redundancies, or outdated practices.
This ethnographic study investigates the intricate relationship between institutional dynamics and educational quality in Kerala, focusing on the impacts of migration. It explores how shifts in demographics, cultural exchanges, and economic factors associated with migration influence educational practices, policies, and outcomes.