Data Analyst
Gokardz Technologies sdn bhd
Total years of experience :9 years, 0 Months
i) Actively participated in management meetings, presenting data-driven insights and recommendations, contributing to strategic planning, and aligning data initiatives with the company's overall goals.
ii) Lead a team responsible for designing and implementing customized Power BI dashboards for different departments, resulting in a 20% increase in data-driven decision-making.
iii) Conducted regular insight discussions with department heads, analyzing data trends, identifying opportunities, and providing actionable recommendations for process improvements.
iv) Implementation of advanced machine learning models for sales forecasting, enabling proactive inventory management and implemented stock forecasting models using machine learning algorithms, resulting in a 15% reduction in excess inventory and associated carrying costs..
1)Data Analytic :
i) Conducted an in-depth analysis of sales reports in the merchandising business, linking data from the database to Power BI and creating interactive dashboards. Proficiently compared invoice amounts with outstanding amounts and evaluated monthly salesperson performance through data analysis.
ii) Analyze dataset ROD for stock market from Bursa datasets . Do the analysis and shareholders dashboards for few companies using the Power BI. Able to see trend in stock market. Link data from database SQL server to the Power BI .Do data cleaning for all the valuable data.
iii) Designed and implemented a powerful Power BI dashboard for the government website, integrating data from Azure Synapse Analytics (data lake, data warehouse, ETL, and various sources). Empowered data-driven decision-making, insightful analysis of startup datasets, and streamlined regulatory compliance for comprehensive government reports
2) Machine Learning: Utilized machine learning techniques to handle the properties transaction dataset from a database. Trained linear regression, logistic regression and XGBoost models for predicting property values, selecting and fine-tuning the best-performing model. Saved the optimized model and employed it to predict outcomes based on user-inputted data points. Deployed the model and created an API for seamless integration with a mobile application. List of output, Prediction for Property price the increments of property price, nearby transacted with price and location and nearby facilities from property location.
WOrk in construction . handling M&E services
Data Analytic and Machine Learning