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Data Analyst with 1+ years in SQL, Python, & Power BI
Results-driven Data Analyst and Business Analyst with 1+ year of industry experience at Sri Sai Suriya Construction, delivering data-driven insights across operational and financial domains. Skilled in SQL querying, ETL pipelines, Power BI/Tableau dashboards, A/B testing, and stakeholder reporting. Experienced in translating complex datasets into actionable business intelligence to support decision-making in fast-paced environments. Certified Data Scientist (GUVI/HCL Group, 2025). Targeting Business Analyst / Data Analyst roles where analytical rigour and communication drive measurable outcomes.
Anna University | K. Ramakrishna College of Engineering, Samayapuram, Tiruchirappalli
B.E. · Electronics & Communication Engineering
August 1, 2021 – June 30, 2025
Sri Sai Suriya Construction
Data Analyst
January 1, 2025 – February 1, 2026
Kumbakonam, Tamil Nadu, India
Customer Churn Prediction
June 1, 2026 – Present
• Built ML classification models (Logistic Regression, Random Forest) achieving 91% accuracy and 0.94 ROC-AUC by engineering 20+ statistical and behavioural features from CRM data — directly aligned with business analyst workflow. • Applied data mining and statistical inference on large CRM datasets, flagging 4 in 5 at-risk customers pre-churn; retention campaigns estimated to reduce preventable churn by 25%. • Delivered risk-tiered segmentation reports with visualizations to business stakeholders, translating complex ML outputs into zero-jargon actionable insights.
E-Commerce Sales Intelligence Dashboard with Forecasting
June 1, 2026 – Present
• Applied ARIMA time-series forecasting on 500,000+ transactional records, surfacing a 23% revenue uplift opportunity and enabling board-ready strategic planning. • Developed automated Power BI and Streamlit dashboards, eliminating 70% of manual reporting and providing real-time self-serve analytics to business stakeholders. • Delivered 90-day forecasts at 87% directional accuracy through rigorous SQL querying, EDA, and model tuning — supporting proactive inventory and operations decisions.
View ProjectRetailVision AI - Computer Vision & Predictive Analytics
June 1, 2026 – Present
• Built a YOLO/OpenCV deep learning pipeline for real-time customer detection, replacing 100% of manual counting; trained predictive models on 18 months of footfall data achieving 85% forecast accuracy. • Improved customer dwell time by 18% and reduced operational inefficiencies by 30% through zone-level behavioural analysis and BI dashboard reporting to operations teams.
Machine Learning Fundamentals
Unknown
January 1, 2026 – Present
Python for Data Science
Unknown
January 1, 2026 – Present
Certified Data Scientist
GUVI, HCL Group
January 1, 2025 – Present
Cultural Fit Analysis
The candidate's projects and experience show a strong alignment with data-driven decision-making and a focus on delivering measurable business outcomes. Their diverse project portfolio, including retail analytics, customer churn prediction, and e-commerce forecasting, indicates adaptability and a broad interest in applying data science across different domains. The certifications further demonstrate a commitment to continuous learning and skill development, which aligns well with a growth-oriented culture.
Soft Skills & Operational Fit
The candidate demonstrates strong problem-solving skills through identifying billing discrepancies and optimizing procurement strategies. Their ability to translate complex ML outputs into 'zero-jargon actionable insights' indicates good communication and stakeholder management. The automation of data collection workflows suggests an operational mindset focused on efficiency.