Data Analyst

Kiranmayee Sai

******************@*****.*** +1-980-***-**** linkedin.com/in/sai-bajantri

TECHNICAL SKILLS

• Python SQL Jira Grafana Tableau Power BI MySQL Microsoft SQL Server PowerPoint R Matplotlib Clustering

• Alteryx Informatica QlikView Microsoft Office Unix Linux Shell Scripting Machine Learning GIT Regression Analysis

• Data Analysis Predictive Modeling Time Series Analysis Problem-solving Cross-Functional Collaboration Documentation PROFESSIONAL EXPERIENCE

Charlotte, NC Graduate Assistant 08/2022 – 12/2023

• Assisted in the application of data analysis techniques to support research projects.

• Utilized SQL to extract and manipulate data from research databases, increasing data accessibility by 30%.

• Collaborated with researchers to develop data models for experimental designs, improving data organization and efficiency by 25%. Tata Consultancy Services, India Assistant System Engineer 03/2021 – 07/2022

• Designed and optimized SQL databases achieving a 20% increase in query performance. Developed shell scripts to automate system tasks, saving 10 hours of manual work per week.

• Developed data visualization dashboards using Tableau to provide actionable insights to stakeholders, resulting in a 20% increase in data-driven decision-making.

• Conducted statistical analysis on client data to identify trends and patterns, leading to a 15% improvement in forecasting accuracy.

• Implemented ETL processes through Alteryx and Informatica to streamline data integration, reducing data processing time by 40%. Thomson Reuters, India System Engineer 12/2019 – 02/2021

• Managed SQL databases and automated data consolidation processes, reducing report generation time by 40%.

• Developed 30+ analytical dashboards using Tableau, enhancing KPI monitoring and reporting for over 50 stakeholders.

• Collaborated with cross-functional teams to develop data cleansing procedures, resulting in a 25% reduction in data errors.

• Utilized Python for data manipulation tasks, automating repetitive processes and increasing efficiency by 30%.

• Implemented data integration solutions using Informatica, streamlining data workflows and reducing ETL process time by 40%.

• Led the implementation of Grafana dashboards for real-time monitoring, improving system visibility and reducing incident response time by 15%.

EDUCATION

University of North Carolina at Charlotte, NC, USA 12/2023

• Master of Science in Computer Science

PROJECTS

Analysis on Digi Farming

• Ensured 98% data accuracy of over 100,000 records daily, improving data quality for decision-making processes.

• Enhanced prediction accuracy by 25% through advanced data modeling and created 10+ visualizations for agricultural management.

• Utilized advanced data modeling techniques to improve prediction accuracy by 25%, enabling more precise forecasts related to crop yields, weather patterns, and market trends, thereby empowering the organization to make informed strategic decisions. Smart Parking System analysis

• Conducted in-depth analysis of parking data using regression analysis and clustering techniques, resulting in a 10% increase in parking space efficiency for the Smart Parking System.

• Utilized Excel and Tableau to develop over 15 visualizations, providing insights into parking availability trends and optimizing parking management strategies, leading to a 20% reduction in customer complaints. Patient Health Monitoring System Analysis

• Spearheaded the analysis of patient health data collected from wearable devices, ensuring real-time monitoring and proactive healthcare interventions.

• Achieved a 99% data accuracy rate through rigorous data cleansing and validation processes, enhancing the reliability of health insights.

• Developed interactive dashboards using Tableau to visualize patient health trends and anomalies, facilitating quick decision-making by healthcare providers, and improving patient outcomes. CERTIFICATIONS

• AWS Academy Graduate (AWS Academy Data Analytics).

• Data camp on SQL, Relational Databases in SQL, Joining data to SQL.

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