Power Bi,R Programming, Python, MS Excel, SQL, Data Science.

Pranav Padmannavar

Minneapolis, MN (Open to Relocation) 763-***-**** ********@***.*** LinkedIn EDUCATION

University of Minnesota Twin Cities Sept 2024 –Dec2025 Master of Science in Data Science

Visvesvaraya Technological University Aug 2017 – Jul 2021 Bachelor of Mechanical Engineering

SUMMARY

Data Science graduate student with a strong background in data analysis, workflow automation, and statistical modeling. Experienced in cleaning and preprocessing large datasets, developing interactive dashboards, and automating data processes. Proficient in SQL, Python, Power BI, and Excel, with a focus on improving data integrity, optimizing business insights, and driving data-driven decision-making. SKILLS

Data Processing & Cleaning: SQL, Excel, Python, workflow automation. Data Visualization & Reporting: Power BI, Tableau, advanced Excel dashboards. Statistical Analysis & Insights: Predictive modeling, trend identification, business intelligence. Process Optimization: Data pipeline automation, efficiency tracking, anomaly detection. Communication & Collaboration: Report generation, stakeholder presentations, cross-functional teamwork. WORK EXPERIENCE

Tata Consultancy Services Bangalore, India

Data Analyst Pandora. Mar 2023 – Jul 2024

● Designed and optimized data workflows, implementing automation techniques that reduced processing time by 30% and enhanced the efficiency of report generation by integrating advanced data validation methods.

● Developed interactive Power BI dashboards, incorporating dynamic filtering and real-time updates that improved visibility of key business metrics and reduced manual reporting efforts by 40%, ensuring faster decision-making.

● Automated data extraction and transformation processes, integrating AI-driven data validation that increased accuracy by 25% and reduced operational insight errors by streamlining anomaly detection mechanisms.

● Created custom SQL queries to clean and preprocess large datasets, optimizing indexing strategies and query execution paths to cut down data preparation time by 35%, significantly improving analytical workflow efficiency. System Analyst Pandora. Feb 2022 – Mar 2023

● Built data-driven solutions leveraging machine learning-based anomaly detection to optimize scheduling and reporting, reducing turnaround times by 20% across teams while maintaining high data integrity.

● Conducted statistical analysis on key performance indicators, utilizing predictive modeling to forecast trends and drive data-driven decisions, leading to an improvement in operational efficiency by 15%.

● Designed automated reporting templates in Excel and Power BI, incorporating interactive elements and conditional formatting, streamlining business intelligence workflows and increasing productivity by 30%, allowing teams to focus on high-value tasks.

Bemco Hydraulics Pvt. Ltd. Belgaum, India

Process Optimization Intern Sept 2020 – Nov 2020

● Automated data cleaning and report generation using VBA macros in MS-Excel, reducing manual record entry workload by 70% and improving data accuracy.

● Analyzed production data to identify optimization opportunities, improving efficiency by 10%. ACADEMIC PROJECT EXPERIENCE

Automated Workflow Optimization for Business Operations Aug 2024 – Dec 2024

● Developed an AI-driven process automation model, reducing manual intervention in data workflows by 40%.

● Created a real-time Power BI dashboard, increasing data visibility and enabling faster decision-making by 30%.

● Integrated SQL-based data cleaning scripts, improving dataset consistency and accuracy by 25%. Predictive Modeling for Business Process Improvement. Feb 2024 – Apr 2024

● Built predictive models using Python to analyse workflow trends, leading to a 15% reduction in operational inefficiencies.

● Implemented automated anomaly detection, reducing data errors in performance tracking by 20%.

● Designed a Power BI dashboard for executive reporting, enabling data-driven decision-making and improving efficiency by 18%.

Data Visualization & KPI Tracking for Process Enhancement Nov 2022 – Feb 2023

● Developed interactive dashboards in Power BI, reducing reporting latency by 35% and improving accessibility of key insights.

● Created custom SQL queries for automated KPI tracking, decreasing data retrieval time by 25%.

● Standardized reporting templates, leading to a 20% improvement in report accuracy and consistency.

Contact this candidate