Pulkit Agarwal Email & Phone Number

Navi Mumbai, Maharashtra, India

1. Data Processing & ETL: Developed optimized ETL pipelines, improving data processing efficiency by 30% and reducing infrastructure costs by 10%.2. Dashboard Development: Transformed complex network data into interactive Power BI dashboards, resulting in a 35% enhancement in strategic decision-making through effective integration of KPIs.3. Automation: Engineered automated data workflows that cut manual documentation efforts by 50% and enabled real-time data processing for enriched dashboards.4. KPI Analysis: Utilized MYCOM for KPI analysis, improving Jio FTTX customer satisfaction by 25% and optimizing response times by 20 hours weekly.5. Scalable Workflows: Architected scalable ETL workflows for extracting data from the Jio Big Data Lake, enhancing processing capabilities by 30% to efficiently manage increasing data volumes.

Project: Heart Disease Diagnostic Analysis• Conducted exploratory data analysis (EDA) on medical records using Python and SQL to identify 55.34% of patients suffering from heart diseases• Developed interactive Tableau dashboard for heart disease data analysis, uncovering correlation for patient monitoring

India

• Developed a data pipeline using Python, Tableau and NLP techniques to analyze customer behavior patterns, resulting in a 25% increase in customer retention and a 15% rise in average order value

Hyderabad, Telangana, India

• Managed 4 projects in 3 months utilizing diverse ML algorithms, fostering teamwork, and delivering high-quality data analysis.• Designed a Music Recommendation System in a team of 5, enhancing user experience with collaborative filtering methods.

Bachelor Of Engineering - Be, Electronic And Telecommunications, 9

Activities and Societies: National Service Scheme (NSS), Placement Coordinator, Member of HackClub Scoe [Relevant coursework]: Electronics.

Honours, Data Science

{Relevant Coursework}: Data Science and Visualization: Data manipulation, statistical analysis, and visualization techniques. Data Science.