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Data Science with less than a year in data warehousing and machine learning.
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Highly motivated Data Analyst Intern with hands-on experience at DRDO, specializing in ETL pipelines, data cleaning, and anomaly correction for large datasets. Proven ability to identify and resolve data inconsistencies, enhancing data integrity and analytical system stability. Skilled in statistical analysis, machine learning (Logistic Regression), and interactive data visualization (Power BI, Plotly) to derive actionable insights from complex datasets in marketing, supply chain, and retail domains.
Indian Institute of Information Technology Raichur
Bachelor of Technology · Computer Science and Engineering
August 1, 2021 – June 30, 2025
DRDO
Data Analyst Intern
January 1, 2025 – April 1, 2025
India
Marketing Campaign Outcome Analysis
June 1, 2026 – Present
Engineered a Logistic Regression pipeline on 41K+ UCI Bank Marketing records using recall-driven metrics, uncovering key customer traits and campaign timings by performing statistical hypothesis testing. Deployed an interactive Dash app with 5 explorable Plotly visualizations, linking dropdown filters to job-contact outcomes, seasonality trends, and SHAP-based explanations for campaign success drivers.
View ProjectGlobal Supply Chain Analytics
June 1, 2026 – Present
Built an interactive Power BI dashboard on 100K+ Kaggle global supply chain records, integrating custom DAX measures, scatter plots, and slicers to analyze profitability, delivery delays, and logistics risk. Designed a 4-page executive analytics suite with interactive slicers and 10+ visualizations, enabling insights on customer segments, shipping modes, and payment trends for strategic operations decisions.
View ProjectRetail Sales and Customer Insights
June 1, 2026 – Present
Analyzed 540K+ Kaggle retail transactions using Oracle SQL and Excel Power Pivot, creating RFM segments, top product metrics, and temporal sales trends across diverse customer groups and regions. Constructed an Excel-based interactive dashboard with slicers and 8 visual KPIs for orders, revenue, AOV, and segment-wise sales insights, enabling clear, stakeholder-friendly performance interpretation.
View ProjectCultural Fit Analysis
The candidate's academic projects cover diverse domains like marketing, supply chain, and retail, indicating a broad interest in applying data science across different industries. The internship at DRDO suggests an ability to work in structured environments. However, all projects are academic/Kaggle-based, and the internship is short-term, which might limit exposure to real-world, complex team dynamics and long-term project ownership. The experience level is entry-level, which might not fully align with a senior role's expectations for independent problem-solving and leadership.
Soft Skills & Operational Fit
The candidate demonstrates teamwork, decision-making, and communication skills through project and internship descriptions. Their ability to translate complex KPIs into visual narratives for non-technical stakeholders is a positive indicator for operational fit. The focus on recall-driven metrics and growth-driven thinking suggests a business-oriented mindset.