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Data Analyst with less than a year in Data Analysis & AI
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Detail-oriented Data Analyst with hands-on experience in SQL, Python, Power BI, and Tableau, skilled at transforming raw business data into actionable insights and KPI dashboards. Proven ability to perform end-to-end data analysis from cleaning and EDA to visualization and stakeholder reporting with a track record of driving data-driven decision-making across operations.
Acharya Institute of Technology
B.E. · Artificial Intelligence & Machine Learning
August 1, 2022 – June 30, 2026
Syscorp Technology Pvt. Ltd.
Data Analyst Intern
January 1, 2026 – May 1, 2026
India
Vyaas AI Pvt. Ltd.
GenAI Engineer Intern
October 1, 2025 – January 1, 2026
India
Customer Churn Prediction & Retention Analysis
June 23, 2026 – Present
Analyzed 10K+ customer records using advanced SQL (CTES, Window Functions) to identify top churn drivers and high-risk customer segments. Built predictive ML models (Logistic Regression, Random Forest) achieving 87% forecasting. Designed a Power BI dashboard with 15+ DAX measures enabling real-time tracking of retention KPIs and segment-level business insights.
View ProjectAutomated Retail ERP & Business Intelligence Suite
June 23, 2026 – Present
Architected dual-flow n8n system separating real-time transaction processing from scheduled weekly reporting. Developed dynamic ETL pipelines via Regex/JS to sanitize unstructured data, ensuring minimum error rate. Implemented anomaly detection triggering proactive alerts for greater than 30 percent sales drops and automated summaries.
View ProjectE-Commerce Sales Analytics Dashboard
June 23, 2026 – Present
Built an interactive Excel dashboard analyzing e-commerce sales across product categories, regions, and time periods to surface actionable business trends. Performed data cleaning, transformation, and EDA on raw transactional data to handle missing values, duplicates, and outliers. Designed dynamic KPI tracking views (revenue, AOV, return rate) using Pivot Tables, slicers, and conditional formatting for stakeholder reporting.
View ProjectCultural Fit Analysis
The candidate's academic projects and internships show a strong interest in data analysis, machine learning, and generative AI, indicating a proactive and learning-oriented mindset. The diversity of projects (churn prediction, retail ERP, e-commerce analytics) suggests adaptability and a broad interest in applying data skills across different domains. The target role of Data Analyst aligns well with the candidate's demonstrated skills and experience, particularly in data manipulation, visualization, and reporting. However, the experience is primarily academic and internship-based, which might require some adjustment to a full-time corporate environment.
Soft Skills & Operational Fit
The candidate's project descriptions indicate an ability to work on complex problems, design analytical solutions, and present insights through dashboards. The internship experience suggests an understanding of data confidentiality and compliance, which are crucial for operational fit. The academic projects demonstrate initiative and a structured approach to data analysis.