Data Analyst Analytics

Sagar Banjara

Data Analyst Atlanta, GA, USA 737-***-**** **********@*****.*** linkedin.com/in/sagar-banjara Professional Summary

Detail-oriented Data Analyst with over 4 years of experience in data manipulation, statistical analysis, and reporting to drive business insights and decision-making. Proficient in SQL, Python, and Excel for data extraction, cleaning, and analysis. Expertise in creating data visualizations using tools like Tableau and Power BI to present complex data trends to stakeholders. Adept at identifying key performance metrics and performing predictive analysis to uncover actionable insights. Proven track record of working with large datasets and implementing data-driven solutions that improve operational efficiency and support strategic initiatives. Strong administrative, critical thinking, and problem-solving skills with a passion for optimizing data processes and enhancing business intelligence capabilities.

Experience

Cedar Gate Technologies Lalitpur, Nepal

Data Analyst Nov '21 - Dec '22

Ø Designed and enforced a real-time data model that minimized data processing time by 30%, improving decision-making capabilities for the organization.

Ø Developed statistical models to analyze customer demographics, generating an increase in targeted marketing effectiveness Ø Utilized BI tools to identify market trends, contributing to a 5% increase in market share Ø Identified key trends and patterns in customer behavior by performing data mining, causing a 15% increase in customer retention rate.

Ø Performed inventory data analysis, ensuring optimal stock levels and accurate reporting. Ø Developed and maintained data governance documentation, ensuring compliance with industry regulations Ø Developed dashboards to track inventory flow and forecast stock requirements. Fusemachines Kathmandu 44600, Nepal

Jr Data Analyst Aug'18 - Nov '21

Ø Conducted data extraction and cleaning using Python and SQL to ensure accuracy and consistency for business analytics projects.

Ø Automated repetitive data reporting tasks with Python scripts and Excel Macros, reducing manual effort by 20%. Ø Created monthly performance and trend reports for clients using Google Data Studio and SQL, highlighting key customer behavior insights.

Ø Supported the development of a customer churn prediction model using Python and scikit-learn, increasing retention rates by 12%.

Ø Used Excel pivot tables and VLOOKUP to create financial reports for internal teams, enabling data-driven decision-making Ø Developed and implemented a new data visualization dashboard that boosted the communication of key findings to stakeholders, resulting in a 20% increase in understanding of data insights. Ø Executed data validation checks on ETL outputs, maintaining a 98% data accuracy rate Ø Executed time series analysis on sales data, leading to a 10% increase in forecast accuracy. Education

Herzing University

Master of Business Administration (MBA) Data Analytics GPA: 4 Awards and Honors

Student of the Year: Herzing University

Awarded for outstanding academic performance. Excelled in Data Analytics projects, achieved top grades, and demonstrated strong teamwork and problem-solving skills.

Projects

Inventory Optimization & Predictive Analytics for Improved Patient Outcomes

· At Cedar Gate Technologies, I conducted an in-depth analysis of inventory levels to optimize stock management, reducing overstocking and shortages. By improving product receiving and stock balancing, I minimized inventory errors by 20% and ensured accurate reporting. I also developed dashboards to track inventory flow and forecast stock requirements, enabling better procurement planning. In parallel, I worked on a predictive analytics model to enhance patient outcomes by analyzing healthcare data using SQL and Python. This model improved recovery forecasting and risk assessment, increasing patient outcome accuracy by 15%. By integrating predictive insights with operational data, I helped streamline clinical decision-making and enhanced inventory control efficiency.

Customer Churn Prediction and Business Analytics Enhancements Improved client retention and business insights through predictive analytics and automation.

· At Fusemachines, I worked on key projects that enhanced client retention, operational efficiency, and business insights. I developed a customer churn prediction model that improved retention rates by 12% and automated repetitive reporting tasks using Python, reducing manual effort by 20%. Additionally, I ensured data reliability by executing validation checks on ETL outputs, maintaining a 98% data accuracy rate. These projects showcased my ability to leverage data for impactful business outcomes.

Skills

Organizational: Strong Analytical skills, problem-solving, and decision-making Programming Languages: Python, SQL

Data Visualization Tools: Tableau, Power BI

Database Management: MySQL, PostgreSQL

Statistical Analysis: A/B Testing, Regression Analysis Cloud Platforms: Google Cloud, Oracle Cloud

Excel Skills: Pivot Tables, VLOOKUP, Macros

Contact this candidate