ANKEM PRADEEP

• Data Analysis Consultant for Intellipaat: Provided expert data analysis consulting services to key clients, including Amul Dairy and Mivada, significantly enhancing their analytical capabilities. Led initiatives that resulted in a 40% increase in competency among client teams.
• Development of Analytical Frameworks: Designed and implemented comprehensive analytical frameworks, including detailed lesson plans, instructional materials, and practice assessments. These initiatives led to a 25% increase in course completion rates and a 20% improvement in assessment performance.
• Evaluation and Optimization of Analytical Programs: Conducted in-depth evaluations of training programs, leading to a 15% improvement in ROI. Identified and addressed critical areas for enhancement, driving overall program efficiency and effectiveness.
• Innovative Instructional Design: Employed diverse instructional design methodologies to create engaging and effective learning experiences. This approach increased participant engagement by 35%.

• Successfully mentored over 70+ students at Great Learning in Machine Learning Algorithms, Power BI, Excel, and Python until December 2023, achieving a 90% student satisfaction rate and significantly improving their proficiency in these tools.
• Conducted online training sessions on Power BI and Python for a diverse audience, leading to a 40% increase in student enrollment and a 30% reduction in dropout rates.
• Currently designing a 30-day online workshop on the AI/ML stack with Power BI, projected to enhance analytical and visualizing skills by 80%.

As an Information Processing Specialist at TCS, I have successfully managed five client engagements, encompassing four global projects and one domestic initiative. My expertise spans various domains including Infrastructure, Consultancy, Manufacturing, and FMCG, and I am adept in navigating matrix organizational structures.

• Developed Comprehensive Dashboards: Engineered end-to-end dashboards for multiple modules including Service Management, Data Center Services, and Project Management. These dashboards enabled clients to enhance incident, change management, and service request analytics, resulting in a 30% improvement in operational efficiency and a 20% reduction in incident resolution times.
• Advanced Analytics and Machine Learning Implementation: Leveraged machine learning algorithms to identify SLA breach incidents, resulting in a 25% decrease in SLA violations. Employed R Plots integrated with Power BI to enhance data visualization, leading to a 15% increase in actionable insights for strategic decision-making.
• Leadership and Team Management: Led a team of data analysts to develop a customized data-enabled model, providing tailored insights and strategic recommendations. This initiative increased the client’s decision-making efficiency by 40% and contributed to a 10% boost in overall project performance.

• Budget Forecasting and Financial Audit: Conducted comprehensive budget forecasting and audit analysis for IT finance within the enterprise, achieving a 15% reduction in budget variances and contributing to a 10% increase in financial accuracy and efficiency.
• Advanced Risk Analysis: Performed in-depth risk analysis on financial models for infrastructure projects using advanced computational modeling simulations. This analysis mitigated potential financial risks, leading to a 20% decrease in unforeseen project costs and enhancing overall project viability.
• Project Management Templates and Monitoring: Designed and implemented project management templates to streamline project monitoring and management. This initiative improved project tracking accuracy by 25% and accelerated project initiation timelines by 18%.
• Technology Integration Workshops: Facilitated successful technology integration workshops between business teams and IT partners, resulting in a 30% enhancement in cross-functional collaboration and a 22% increase in project deployment efficiency.
• Digital Training and Onboarding: Conducted digital training sessions for new hires, which improved onboarding efficiency by 35% and accelerated new employee productivity by 25%.