Kresna Pandu

Data Analyst @HUAWEI Technologies

Data Entry SpecialistData EntryBI AnalystData ScientistIT

I am a dedicated Data Analyst with 2-year of experience in Strategic Network Planning at Huawei, specializing in Telkomsel account. I honed my skills in data analysis, feature engineering, machine learning, and geospatial analysis. Key Achievements: • Enhanced RF KPI Feature Engineering: Leveraged statistical tests like Pearson correlation and Mutual Information to optimize RF KPI analysis, leading to more accurate insights. • Developed Nation-Wide RF KPI Dashboard: Created a comprehensive dashboard using Tableau and Python-pandas, enabling real-time network performance monitoring across the country. • Automated Network Solutions: Implemented machine learning clustering techniques with Python-sklearn and Folium, improving work efficiency by 100% and securing customer approval for proposed solutions. • Advanced Coverage Analysis: Utilized Python, GeoPandas, OpenStreetMap, and Shapely for deep coverage analysis, offering precise and data-driven insights. • Machine Learning Innovations: Built KDTree and DBScan algorithms, reducing program runtime by over 95%, and developed a regression model achieving 80% accuracy in data usage forecasting. • Feature Engineering & Data Usage Forecasting: Conducted feature engineering and developed forecasting models for data usage (payload) using ML-regression techniques like Gradient Boosting, RandomForest, and LSTM. • Expertise in Geospatial Analysis: Proficient in tools QGIS, geopandas, shapely, folium. • Conducted comprehensive data profiling to identify patterns, extract actionable insights, and understand data behavior, driving data-driven decision-making and strategic planning like GeoPandas, Shapely, Folium, OSMnx, and QGIS to conduct detailed geospatial analysis for network optimization.

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