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Data Analyst with less than a year in Business Intelligence & Machine Learning
Results-driven Data Analyst with hands-on internship experience designing interactive dashboards (Excel, Power BI, Tableau) and building production-ready ML classifiers. Economics graduate with strong quantitative foundation who transforms raw data into actionable business insights. Proficient in SQL (CTEs, window functions), Python (Pandas, NumPy, Scikit-learn, XGBoost), and DAX. Achieved ~82% accuracy on football transfer prediction model; reduced manual reporting time by automating BI workflows. Skilled problem-solver with adaptability, critical thinking, and ability to translate complex datasets for non-technical stakeholders.
University of Calicut
BA Economics · Econometrics, Statistics, Quantitative Methods
August 1, 2022 – March 1, 2025
Techolas Technologies
Data Analyst Intern
June 1, 2025 – February 1, 2026
Kozhikode, Kerala, India
Football Transfer Prediction – ML Classifier
June 23, 2026 – Present
Engineered 7 classification models (Random Forest, XGBoost, AdaBoost, etc.) achieving ~82% accuracy. End-to-end ML pipeline: feature engineering, hyperparameter tuning, cross-validation. Deployed interactive Streamlit app with real-time transfer predictions.
Tableau Business Performance Dashboard
June 23, 2026 – Present
Built multi-dimensional dashboard analyzing sales, quantity, and customer trends across categories, gender, and locations. Created 6+ KPI visualizations (mall performance, payment modes, seasonal trends). Key insight: clothing top category; female customers driving sales.
Power BI Sales Analytics Dashboard
June 23, 2026 – Present
Designed interactive dashboard tracking revenue, quantity, transactions across categories and regions. Cleaned data with Power Query; created DAX measures for trend analysis and geographic mapping.
Coca-Cola USA Sales Analysis
June 23, 2026 – Present
Built interactive Excel dashboard with pivot tables, slicers, KPI cards tracking sales by region, brand, and retailer. Key insights: 2022-2023 growth; Coca-Cola brand leadership; Q3-Q4 peak performance.
Cultural Fit Analysis
The candidate's project diversity, ranging from business performance dashboards to a machine learning classifier, indicates a broad interest in data analytics applications. Their self-taught approach to advanced skills like Power BI DAX, SQL CTEs, and XGBoost demonstrates initiative and a growth mindset, which are positive indicators for cultural fit within a learning-oriented team. The internship experience also shows collaboration with cross-functional teams, suggesting an ability to work effectively in a team setting.
Soft Skills & Operational Fit
The candidate demonstrates strong problem-solving, analytical thinking, critical thinking, adaptability, and communication skills. These are crucial for a Data Analyst role, enabling them to break down complex problems, synthesize insights, evaluate model performance, and translate technical findings for non-technical stakeholders. The ability to adapt and self-learn new tools suggests a good operational fit for dynamic environments.