Sakif Hossain

SAKIF HOSSAIN -|-| 89 Shipman Road, London, E16 3DT LinkedIn: linkedin.com/in/sakif-hossain |GitHub: github.com/sakif445/Data-Analysis-Portfolio PROFESSIONAL SUMMARY Data Analyst with 2+ years of experience leveraging Excel, SQL, Python, R, Power BI, and Tableau to transform raw data into actionable insights. Skilled in building interactive dashboards, predictive models, and optimizing ETL workflows to improve business reporting efficiency by 40%. Holds an MSc in International Business with Data Analytics and certifications including Google Data Analytics and AI Essentials. SKILLS • • • Tech Stack: Python (Pandas, NumPy, Scikit-learn), SQL, Power BI, Tableau, R, Excel (VBA, Macros), Git, Talend. Analytics & ML: Predictive Modeling, Regression, Clustering, Time-Series Forecasting, RFM Analysis. Tools & Processes: ETL/ELT workflows, Strong knowledge of SQL (DDL, DML, Joins, Subqueries) and MySQL management. WORK EXPERIENCE Data Analyst| IT Skills, London • • • • Team Leader | WHSmith-Queen Elizabeth Hospital, London • • • Jun 2022-Current Conducted data-driven inventory analyses, reducing stock wastage by 10% and increasing turnover by 20%. Led targeted customer service training, boosting transaction efficiency by 25%. Business Development Executive | SBT Co., Ltd • Oct 2023-Current Cleaned and structured over 10,000 customer reviews in Excel, enabling real-time insights across 3 departments and cutting manual processing by 40%. Developed interactive Power BI dashboards, reducing stakeholder report generation time by 40%. Optimized ETL workflows using Talend, improving data integration efficiency by 35%. Analysed market trends with SQL, forecasting 20% growth in digital market share. Dec 2018-Mar 2022 Analyzed CRM data using Python and SQL to segment over 500 clients, increasing marketing campaign targeting efficiency by 20%. Improved ETL process efficiency, reducing data processing time by 30%. Projects • • • • • • • Weather Prediction Model: Built using XGBoost; increased accuracy by 5% through GridSearchCV hyperparameter tuning. Wine Quality Prediction – Utilized Random Forest and SVC; improved prediction reliability through robust data cleaning and outlier management. Stock Price Forecasting – Implemented XGBoost model; achieved MAE of 0.392 and RMSE of 0.469, supporting precise financial decisions. Marketing Analysis – Developed XGBoost-based customer segmentation; enhanced accuracy from 83% to 88% via hyperparameter optimization. Store Sales Dashboard (Power BI) – Cleaned and visualized sales data; enabled faster regional performance analysis, driving a 15% improvement in sales strategy effectiveness. Supply Chain Dashboard (Power BI) – Integrated drill-down functionalities, improving delivery efficiency by 20% and reducing disruptions by 15%. Data Analytics Internship (Forage) – Processed and cleaned over 10,000 entries with Python, conducted RFM analysis, improving customer retention strategies by 20%. • Customer Insight Analysis (Ulster University) – Utilized pivot tables across 10+ segments, enhancing actionable insights by 30%. EDUCATION MSc in International Business with Data Analytics Ulster University, United Kingdom 2023 Bachelor of Business Administration (BBA) Independent University, Bangladesh 2018 CERTIFICATION Data Analytics Consulting Virtual Internship, Forage Oct 2023 Google Data Analytics Professional Certificate, Google May 2024 GDPR Foundations, Measured Collective April 2025 Data Standardisation, Health Data Research UK April 2025 Health Information Engineering, Health Data Research UK April 2025 Google AI Essentials, Google July 2025 REFERENCES AVAILABLE UPON REQUEST