Focus : Data Analyst, Economic Analyst, Operations Research Analyst
Specifications : Mathematics and Machine Learning
Skills
Discrete Mathematics, Calculus, Linear Algebra, Operations Research, Data Visualization using Power BI, Machine Learning, DBMS, R for Analytics, Applied excel, Probability & Distribution Theory, Fundamentals of Statistics, Inferential Statistics, Macro-economics, Micro-economics and Econometrics, Public Speaking, Team Management, Problem Solving, Efficient Communication,Languages
English, Hindi, Malayalam, Marathi, Tamil,Hobbies
Singing, Dancing, Mandala Drawing, Reading
Certificate
NPTEL Online Certification - Folk and Minor Art in India -
Indian Institute of Technology, Kanpur
2023-07 /
2023-09
Student Workshop on Cloud Infrastructure (AWS) as a part of One Week National Level Faculty Development Program – All India Council for Technical Education (AICTE) -
All India Council for Technical Education (AICTE)
2023-08 /
2023-08
Journey to Cloud: Envisioning Your Solution- IBM -
International Business Machines(IBM)
2023-07 /
2023-07
Getting Started with Enterprise Data Science – IBM -
International Business Machines(IBM)
2023-07 /
2023-07
Getting Started with Threat Intelligence and Hunting – IBM -
International Business Machines(IBM)
2023-07 /
2023-07
Summary
In my most recent assignment, I played a key role in developing and deploying a machine learning model to forecast price indices and crop productivity for Kerala's primary agricultural products. This project highlighted my ability to drive innovation and apply advanced statistical techniques to deliver accurate predictions, helping shape economic policies. As a practitioner in data analysis, machine learning, and economic modeling with expertise in Python, R, and Power BI, I am dedicated to implementing cutting-edge data solutions across sectors such as agriculture, public finance, and renewable energy. My experience leading data-driven projects from data collection to model deployment demonstrates my commitment to excellence and my ability to generate actionable insights for diverse industries.
Employment History
Economic Intern , Government of Kerala
2024-06 - 2024-07
- Led field data collection for over 300 items across wholesale and retail markets, providing accurate and timely price data for economic indicators such as inflation.
- Developed and deployed a machine learning model to analyze economic indices (e.g., food, housing, and miscellaneous), discovering key correlations and forecasting future price trends over the next 5 years using advanced time series modeling techniques.
- Analyzed crop productivity trends for Kerala’s primary agricultural products—cashews, coconut, and rice—leveraging machine learning and statistical models to generate productivity forecasts and provide actionable insights for agricultural policy and planning.
- Applied regression analysis and time series forecasting to extract patterns and generate projections for both price indices and crop yields, offering strategic insights for economic planning and resource allocation.
- Integrated Python programming with statistical models, enhancing predictive accuracy and enabling comprehensive analysis of large datasets.
- Utilized Power BI for real-time visualization of economic and agricultural data, transforming complex datasets into actionable insights and decision-making tools for government authorities.
- Led field data collection for over 300 items across wholesale and retail markets, providing accurate and timely price data for economic indicators such as inflation.
- Developed and deployed a machine learning model to analyze economic indices (e.g., food, housing, and miscellaneous), discovering key correlations and forecasting future price trends over the next 5 years using advanced time series modeling techniques.
- Analyzed crop productivity trends for Kerala’s primary agricultural products—cashews, coconut, and rice—leveraging machine learning and statistical models to generate productivity forecasts and provide actionable insights for agricultural policy and planning.
- Applied regression analysis and time series forecasting to extract patterns and generate projections for both price indices and crop yields, offering strategic insights for economic planning and resource allocation.
- Integrated Python programming with statistical models, enhancing predictive accuracy and enabling comprehensive analysis of large datasets.
- Utilized Power BI for real-time visualization of economic and agricultural data, transforming complex datasets into actionable insights and decision-making tools for government authorities.
Education History
BSc(Economics And Analytics)) -
74 %
2022-08 /
2025-06
CHRIST(Deemed to be University), Pune-Lavasa
Grade XII -
93 %
2021-04 /
2022-06
DAV Public School, New Panvel
Grade X -
91 %
2019-04 /
2020-06
Delhi Public School, Panvel
Internships
Economics Intern -
Government of Kerala
2024-06 /
2024-07
Investor Relations Intern -
Sterling and Wilson Renewable Energy Limited, Mumbai
- Led field data collection for over 300 items across wholesale and retail markets, providing accurate and timely price data for economic indicators such as inflation.
- Developed and deployed a machine learning model to analyze economic indices (e.g., food, housing, and miscellaneous), discovering key correlations and forecasting future price trends over the next 5 years using advanced time series modeling techniques.
- Analyzed crop productivity trends for Kerala’s primary agricultural products—cashews, coconut, and rice—leveraging machine learning and statistical models to generate productivity forecasts and provide actionable insights for agricultural policy and planning.
- Applied regression analysis and time series forecasting to extract patterns and generate projections for both price indices and crop yields, offering strategic insights for economic planning and resource allocation.
- Integrated Python programming with statistical models, enhancing predictive accuracy and enabling comprehensive analysis of large datasets.
- Utilized Power BI for real-time visualization of economic and agricultural data, transforming complex datasets into actionable insights and decision-making tools for government authorities.
2023-07 /
2023-08
- Performed in-depth organizational analysis, conducting research into SWREL's history, business operations, and competitive positioning within the renewable energy sector, with a focus on solar energy.
- Led industry benchmarking initiatives by contacting and analysing data from competing solar companies, compiling insights into market trends, and evaluating competitor strategies.
- Identified key performance gaps by comparing SWREL’s practices to industry standards, presenting data-driven recommendations for operational and strategic improvements.
- Synthesized cross-company data using comparative analysis techniques, enabling more informed decision-making for SWREL’s solar energy initiatives.
- Strengthened industry research capabilities, focusing on renewable energy innovations and opportunities for SWREL to optimize performance and increase market share.
Projects
Prediction Models
2023-11 /
2024-02
Library Books Management System
- Developed predictive models for Hotel Booking Cancellation Prediction, Crop Yield Prediction based on Climate variables, Land Erosion Prediction and Air Quality view.
- Conducted data analysis - domain analysis, summary statistics, and EDA using pandas, seaborn, and matplotlib.
- Performed data pre-processing - handling missing values, handling categorical variables through one-hot and target encoding, and feature selection, feature scaling.
- Implemented ML models - Linear Regression, Logistic Regression, Decision Tree Regressor, Random Forest Classifier, SVM using sk-learn.
- Evaluated model performance using r2 score, RMSE, f1 score, precision, recall, ROC, AUC and cross-validation
- Optimized model performance by hyper-parameter tuning and feature importance analysis.
2023-11 /
2024-01
- Database created with various tables associated with libraries like books, genres, authors, returns, etc.
- Database linked with Python and the user interface created through tkinter package in Python.