Shiva Kumar Gadham
Columbus,OH
Summary
Results-driven Data Analyst with a strong passion for uncovering hidden insights and driving impactful decisions. Proficient in leveraging data analytics technologies like Power BI, Google Cloud Platform, and SQL to empower informed decision-making. A collaborative innovator with a natural curiosity and a passion for storytelling through data.
Overview
1
1
year of professional experience
1
1
Certification
Work History
Data Analyst
Nationwide
01.2024 - Current
- Collaborated with cross-functional teams to analyze data and drive business outcomes.
- Led business intelligence initiatives by assessing control environments, generating insights to support strategic decisions, and addressing control gaps through SQL-based data analysis, aligning outcomes with regulatory standards and organizational goals.
- Designed and generated ad-hoc operational and strategic dashboards using SQL and Power BI, utilizing KRIs and KPIs to enable data-driven decisions, drive risk mitigation, and support cross-functional strategic planning.
- Developed strategic reports and dashboards in Power BI and Snowflake for enhanced fraud detection and customer insights, fostering cross-functional relationships to streamline data workflows, resulting in a 10% increase in customer retention.
- Built and managed interactive Power BI dashboards to monitor transactional data and support data-driven decisions, leveraging prescriptive analytics to improve fraud detection accuracy by 30% and reduce false positives.
- Collaborated cross-functionally with the Operations and Data Engineering team to analyze data and custom report generation utilizing Advance Excel (Pivot, VBA), Snowflake, and Alteryx reducing fraud detection, resulting in an improved customer retention rate by 10%
- Applied Random Forest and Logistic Regression to identify financial crime, phishing reports, and anomalous transactions improving preventative measures against potential fraud by 14%, leveraging Predictive analysis
- Improved decision-making processes with accurate data analysis and visualization techniques.
- Used statistical methods to analyze data and generate useful business reports.
- Utilized data visualization tools to effectively communicate business insights.
- Enhanced business efficiency by identifying trends and patterns in complex datasets.
- Created dashboards to monitor and track key performance indicators.
- Developed customized reports, summarizing and presenting data in visually appealing format.
Education
Master of Science - Data Analytics
Trine University
Angola, IN12-2023
Skills
- Data Analysis: MySQL, SQL, Python (Pandas, NumPy, Matplotlib, Sklearn), R (dplyr, ggplot2, tidyr), SAS, Advance Excel (Pivot, VBA, Macros)
- Business Intelligence: Tableau, Power BI, AWS, QuickSight, Snowflake, Jira, Salesforce Analytics, Google Analytics (Tera Desk)
- Data Mining: Informatica, Collibra, ETL scripting, Exploratory Data Analysis (EDA), Data Preprocessing, Data Modeling, AWS (S3, EC2, Redshift)
- Machine Learning: Predictive Analysis, Random Forest, Logistic Regression, K-NN, SVM, Monte Carlo Simulation, Decision Trees
Certification
- Tableau Data Analyst/Specialist Desktop Certification
- Amazon Web Service (AWS) for Data Analytics and Data Warehouses
Projects
Employee Attrition Rate, 01/01/23, 04/01/23, Leveraged Exploratory Data Analysis using R to centralize the attrition data based on business organization analyzing employee behaviour. Predicted employee attrition rates by designing a BI dashboard in Power BI and applying ML models (Logistic Regression, Clustering, Random Forest, SVM), enabling data-driven HR decisions and achieving 91% prediction accuracy.
Timeline
Data Analyst
Nationwide
01.2024 - Current
- Tableau Data Analyst/Specialist Desktop Certification
- Amazon Web Service (AWS) for Data Analytics and Data Warehouses
Master of Science - Data Analytics
Trine University
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