Senior Manager, Data Analytics
_VOIS - Vodafone Intelligent Solutions
Total years of experience :15 years, 8 Months
Skills Used: Data Analytics, Cyber Security, Python, Qlik Sense, Power BI, Microsoft Power Platform, SQL, GCP, Azure
• Driving & strategizing project plans, monitoring progress, managing risks, collaborating with stakeholders, understanding their analytical needs, and providing insights and recommendations to support their goals.
• Manage data acquisition, storage, and preprocessing pipelines to ensure data quality, integrity, and accessibility for data analytics projects.
• Plan, execute, and oversee analytics projects from conception to deployment, ensuring they are completed on time, within budget, and meet business objectives.
• Evaluate the performance of analytics models using appropriate metrics and techniques, and iterate on model improvements based on feedback and results.
• Developing analytical solutions for management for resourcing, attrition, budget, etc., and meeting project requirements using available resources, which helps management in budget and manpower planning strategies.
• Developed a dashboard for Threat Intelligence based on security intelligence data for multiple controls like Ransomware Protection, Endpoint Detection and Response (EDR), etc for all assets distributed
globally.
• Generating insights for weekly stakeholder meetings, providing performance improvement recommendations, and quick wins for individual markets/areas/regions.
• Creating Automation using Process Flows and Power Automate reduces processing time and improves accuracy.
• Providing training and mentorship to team members to enhance their analytical skills and knowledge of tools and methodologies.
Skills Used: Data Analytics, Python, Power BI, Qlik Sense, Tableau, SQL, Azure
• Aligned data analysis project outcomes with overarching business objectives through a robust understanding of business processes and strong business acumen.
• Designed and developed models using ML algorithms, statistical analyses, and feature engineering to predict and generate insights for decision making
• Identified revenue and profit growth opportunities, evaluated the financial impact of changes to the business, and presented pricing decisions for a wide variety of venues, using internal and external data sources like IQVIA, Veeva, etc.
• Utilized cutting-edge algorithms for comprehensive data mining, ensuring meticulous processing, cleansing, and validation to maintain data integrity for robust analysis.
• Performed data analysis using various statistical methods for validating data and its interpretations, conducting Univariate and Multivariate Analysis using plots and charts, utilizing Python
• Improved productivity, eficiency, and bottom-line performance through process automation using Power Automate, Advanced Excel, VBA, and Python
Skills Used: Data Analytics, Python, R, Power BI, SQL, Advance Excel, VBA, VB.NET, C#.NET
• Developed various dashboards consisting of KPIs, scorecards, trend analysis of sales, revenue, feedback, audits, etc., with primary or secondary data as sources using Power BI, Excel, and SQL.
• Developed tools that help business partners extract insights from data and identify opportunities in the market.
• Worked in FMCG, Finance, Telecom, Insurance, E-Commerce, and Social Research domains.
Skills Used: VB.NET, C#.NET, SQL