Hameed K Email & Phone Number

Professional SummaryHighly skilled Data Analyst with [10+] years of experience in data analysis, visualization, and reporting to drive informed business decisions. Proven expertise in transforming complex datasets into actionable insights, enhancing operational efficiency, and supporting strategic objectives. Strong background in SQL, Python, and data visualization tools like Power BI and Tableau. Known for analytical thinking, attention to detail, and a commitment to solving challenging business problems.Technical Skills• Data Analysis & Visualization: SQL, Python, R, Excel, Power BI, Tableau• Database Management: MySQL, PostgreSQL• Machine Learning & Statistics: Linear Regression, Clustering, Predictive Modeling, Time Series AnalysisProfessional ExperienceData Analyst, MyG HO - Calicut,2014 – Present•Developed and maintained interactive dashboards in Power BI, reducing report turnaround time by 30% and empowering management to make data-driven decisions in real time.•Designed SQL queries to extract and transform data, generating insights that helped optimize customer acquisition strategies, resulting in a 15% increase in customer conversion rates.•Conducted in-depth analysis of sales data across multiple regions, highlighting trends that contributed to a 12% improvement in resource allocation.•Collaborated with cross-functional teams to implement predictive models that improved forecast accuracy for key business metrics by 18%.Key Achievements:•Reduced data processing time by 30% by implementing an automated ETL process, saving 10 hours weekly.•Increased accuracy in reporting by 25% through data cleaning and validation processes.EducationPost Graduate Diploma in Programming [PGDCA],LBS - Calicut, Kerala, August 2000Certification in Data Science & Machine Learning Mar 2024– Present Illinois Tech USCertifications•Post Graduate Diploma in Programming Certificate (LBS) – [Aug 2000]•Certification in Data Science & Machine Learning Mar 2024– Present Illinois Tech USProjectsSales Forecasting Model•Developed a time series forecasting model to predict monthly sales with an accuracy of 90% using Python, which helped the sales team adjust targets and resource allocation effectively.Customer Segmentation for Targeted Marketing•Used K-means clustering to segment customer data based on purchasing patterns, enabling marketing to create personalized campaigns and increase engagement by 30%.Inventory Optimization Dashboard.