Data Analyst with 1+ years in data analysis, statistical modeling, and business intelligence.
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Results-driven Data Analyst aspirant with a strong foundation in data analysis, statistical modeling, and business intelligence. Skilled in Python, SQL, Power BI, and data visualization, with hands-on experience in exploratory data analysis (EDA), dashboard creation, and deriving actionable insights from complex datasets. Familiar with machine learning concepts and predictive analytics to support data-driven decision-making. Passionate about transforming data into meaningful insights to solve real-world business problems and improve organizational performance.
University College, TVM
MSC Statistics · Statistics
August 1, 2022 – June 30, 2024
SAS SNDP College, Konni
BSC Mathematics · Mathematics
August 1, 2019 – June 30, 2022
Zaalima Development Pvt. Ltd
Intern Data Science & ML
December 1, 2025 – March 1, 2026
India
iStudio
Intern Data Science
August 1, 2025 – December 1, 2025
India
Edure
Intern Machine Learning
April 1, 2024 – June 1, 2024
India
Walmart Sales Forecasting Project
June 21, 2026 – Present
Analyzed historical sales data using exploratory data analysis (EDA) and statistical techniques to identify business trends, seasonal patterns, and key sales drivers across multiple stores. Built and evaluated time series forecasting models to predict 12-week sales performance, while generating actionable insights to support inventory planning, marketing strategies, and business decision-making.
Super Store Sales (PowerBI)
June 21, 2026 – Present
Developed an interactive Power BI Sales Dashboard to analyze total sales, profit, profit ratio, regional performance, and returned orders using dynamic KPIs and visual analytics. Created data visualizations for sales trends, category-wise performance, and top-performing regional managers to support strategic business decision-making. Implemented AI-powered Q&A visuals in Power BI, enabling users to explore sales insights through natural language queries and interactive geographic analysis.
COVID-19 Data Analysis & Forecasting Project
June 21, 2026 – Present
Conducted comprehensive analysis of global and Indian COVID-19 datasets by performing data cleaning, data wrangling, and exploratory data analysis (EDA) to identify trends in confirmed cases, recoveries, and deaths. Developed interactive visualizations using Plotly to present infection trends, regional comparisons, and recovery patterns, enabling clear and data-driven interpretation of pandemic data. Implemented time series forecasting using Facebook Prophet to predict short-term COVID-19 case counts and evaluated model performance to assess forecasting accuracy and reliability. Derived actionable insights from public health data to support trend analysis, predictive understanding, and informed decision-making during the pandemic.
PowerBI Certification
Intellipaat
December 1, 2025 – Present
Python Certification
Intellipaat
November 1, 2025 – Present
Advanced Certification in Data Science and AI
iHub Divyasampark, IIT Roorkee & Intellipaat
September 1, 2025 – Present
Microsoft SQL Certification
Intellipaat
December 1, 2024 – Present
SQL Certification
Intellipaat
December 1, 2024 – Present
Cultural Fit Analysis
The candidate's project diversity (Walmart Sales, COVID-19, Super Store Sales) and multiple certifications indicate a proactive learning approach and broad interest in various data analysis applications. The academic background in Statistics and Mathematics provides a strong theoretical base. The internships, while short, show exposure to different aspects of data science and machine learning. This breadth suggests adaptability and a willingness to explore different problem domains, which can contribute positively to cultural fit in a dynamic team.
Soft Skills & Operational Fit
The candidate demonstrates a results-driven attitude and passion for transforming data into insights, which aligns well with operational roles requiring data-driven decision-making. Project descriptions indicate an ability to work on end-to-end data analysis tasks, from cleaning to visualization and forecasting. However, the internship experiences are relatively short-term and recent, suggesting a need for more practical, sustained application of these skills in a professional setting.