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Data Science with less than a year in ETL, Business Intelligence & Machine Learning.
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Assessing your cultural and operational fit
Analytical B.E. Computer Science Graduate (2026) with dual internship experience building automated ETL pipelines and executive Business Intelligence dashboards. Proven capability utilizing SQL, Python, and Power BI to optimize data pipelines, detect cost anomalies, and translate complex relational databases into actionable business strategies
Sree Sastha Institute of Engineering and Technology Chennai
Bachelor of Engineering · Computer Science
August 1, 2022 – June 30, 2026
Tamizhan Skills
Machine Learning & AI Intern
December 1, 2025 – June 30, 2026
Chennai, Tamil Nadu, India
Trios Technologies
Data Science Intern
July 1, 2024 – August 31, 2024
Chennai, Tamil Nadu, India
E-Commerce Supply Chain Optimization & BI Pipeline
June 24, 2026 – Present
• Built an automated Python ETL pipeline to ingest, clean, and integrate messy logistics datasets across 70+ distinct product lines. • Mapped order fulfillment cycles and delivery tracking timelines to pinpoint warehouse and distribution bottlenecks. • Analyzed freight charges relative to package volume metrics, identifying an estimated 8% leakage in shipping expenses. • Deployed a live Power BI executive dashboard monitoring transit efficiency, on-time delivery rates, and core supply chain KPIs.
View ProjectFintech Customer Retention & Financial Fraud Risk Pipeline
June 24, 2026 – Present
• Processed, joined, and queried over 25,000 core client transaction logs utilizing structured SQL and Python environments. • Isolated and corrected inconsistent credit scoring records to stabilize downstream data reporting pipelines. • Evaluated behavioral anomalies and transactional velocity loops to identify user churn risks and financial fraud exposures. • Created strategic Power BI dashboards to track retention metrics, churn vectors, and revenue leakage alerts for leadership.
View ProjectCultural Fit Analysis
The candidate's projects demonstrate a strong interest in applying data science to real-world business problems across different domains (e-commerce, fintech). This diversity suggests adaptability and a willingness to tackle varied challenges. The focus on creating dashboards for leadership indicates an understanding of stakeholder communication. However, as an entry-level candidate, the breadth of experience is naturally limited, and further exposure to diverse team environments would strengthen cultural fit.
Soft Skills & Operational Fit
The candidate's project descriptions indicate a problem-solving mindset and an ability to translate data into actionable business insights. The focus on automating workflows suggests an efficiency-driven approach. While direct evidence of teamwork or stress handling is not provided, the successful completion of complex projects implies good organizational skills. The candidate's experience is well-aligned with operational roles requiring data analysis and reporting.