Albertin Aloysius

ALOYSIUS ALBERTIN www.linkedin.com/in/aloysius-albertin-74048b250 | Email:-|- Portfolio: https://github.com/Albertin4116/Portfolio/blob/main/README.md DATA ANALYST PROFESSIONAL SUMMARY Detail-oriented and motivated Data Analyst with Years of hands-on experience in collecting, cleaning, analyzing, and visualizing data to support business decision-making. Proficient in Python, SQL, Excel, and data visualization tools like Power BI and Tableau. Skilled at identifying trends, building dashboards, and delivering actionable insights. Adept at collaborating with cross-functional teams and presenting findings in a clear, impactful way. Committed to continuous learning and data-driven problem solving. KEY SKILLS Data Analyst: SQL, Python| Data Visualization: Tableau, Power BI, Excel | MS Office| Power Point| Customer service| Portfolio Analysis| Story telling skills| Report| Administrative Skills | Communicative Skills| Project Management Jira| Attention to details| EXPERIENCE Data Analyst October 2024 – May 2025 Cirvee Academy (Remote). Tool Used: Excel, SQL, MS office, Power BI, Python, Power point, Power Query • Analyzed sales and customer data to identify trends and patterns, contributing to a 20% increase in campaign effectiveness. • Wrote SQL queries to extract and manipulate data from relational databases. • Collaborated with cross-functional teams to support data-driven decision-making. • Cleaned and transformed large datasets using Python, Excel and SQL. • Used Excel, SQL and python to segment customers based on purchasing behavior. • Built an interactive dashboard to visualize regional sales performance and trends. Healthcare Data Analyst Divine Glory Maternity Lagos (Hybrid) Tool Used: Excel, SQL, MS office, Power BI, Python, Power point, Power Query, Tableau May 2023- May 2025 • Collaborated with medical and administrative staff to identify KPIs for quality improvement, including readmission rates, length of stay, and patient satisfaction. • Data Entry and Analyzing patient care data, admissions, discharges, and resource utilization to support operational efficiency and improve patient outcomes. • Developed and maintained interactive dashboards using Excel and Power BI to provide real-time insights for clinical and administrative leadership. • Extracted, cleaned, and transformed large datasets using SQL and Python for custom reporting and analysis • Automated routine data tasks, reducing manual reporting time by 40% and minimizing errors. • Analyzed hospital financial performance including revenue cycle, departmental budgets, and cost structures to support data driven decision-making. • Built forecasting models to project cash flow, capital expenditures, and budget scenarios under different reimbursement assumptions. Fenty Sales performance-USA (Remote) May 2025 • SQL was used for data cleaning and analysis, ensuring accuracy by removing inconsistencies and handling missing values and join large datasets containing customer details, product catalogs, and order histories. • Developed interactive dashboards with Power BI to visualize key metrics such as conversion rate, average order value (AOV), and customer lifetime value (CLV). • Identified high-performing products and seasonal sales trends and (Regency, Frequency, Monetary) segmentation. • Provided actionable insights that could inform pricing strategy, inventory planning, and customer retention initiatives. Data Analyst INTERNATIONAL_BREWERIES- USA (Remote) November2023 • Cleaned and transformed large dataset using Excel and SQL. • Transformed and processed the data by using power Query to ensure data completeness and validity • Provide actionable insights to ensure the decision making for management and sales terms. • Create a dashboard with Microsoft excel to monitor and visualize key sales metrics across multiple countries and products. Sales Analyst| Ibadan Nigeria December 2023 Chrispee enterprises • Analyzed sales and customer data to identify trends and patterns, contributing to a 20% increase in campaign effectiveness. • Created an interactive dashboards using Power BI for visualization of regional sales performance and trends • Wrote SQL queries to extract and manipulate data from relational databases. • Collaborated with cross-functional teams to support data-driven decision-making. • Cleaned and transformed large datasets using Python, Excel and SQL. • Used Excel, SQL and python to segment customers based on purchasing behavior. EDUCATION Imo state polytechnic| Business management Technology| Mass communication SkillUP EDTECH| Project Management Certificate Cirvee Academy Ibadan Nigeria | Data Analyst ATTRIBUTES • Effective Communication • Excellent work ethics • Sensory Acuity • Flexibility HOBBIES AND INTERESTS • Reading • Networking • Researching • Exploring new technologies July 2021 August 2024 July 2025