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Click here or scroll down to respond to this candidateCandidate's Name
PHONE NUMBER AVAILABLE # EMAIL AVAILABLE LINKEDIN LINK AVAILABLE KadariEducationOld Dominion University August Street Address - May 2024Masters of Science in Computer Science (GPA: 3.Street Address / 4.00) Norfolk, Virginia Relevant Coursework: Data Structures and Algorithms, computer architecture,Cloud Computing, Data Visualization, NLP, Data Science, Machine Learning, Articial intelligence,Big data and Analytics, Data Mining ExperienceOld Dominion University August2022 - May 2024Graduate Teaching and Research Assistant Norfolk, Virgina Managed and analyzed large datasets using SQL and BigQuery to support research projects and ensure data accuracy. Created interactive dashboards and charts in Looker to present research ndings to diverse audiences. Maintained documentation on Conuence, enhancing team collaboration and contributing to test plans and user guides. ADP July 2020 - July 2022Software Engineer Hyderabad, India Conducted extensive data analysis using BigQuery and Looker to generate insightful reports, optimizing payroll systems and enhancing client satisfaction. Developed and executed end-to-end test plans to ensure reliable data pipelines and seamless data ow integrity. Collaborated with cross-functional teams to gather user requirements, translating them into technical specications to improve operational eciency and business analysis and business intelligence. Exposys Lab May 2019-June 2020Data Scientist Intern Hyderabad, India Enhanced system performance with Python and integrated Google Analytics and Amplitude for data analysis. Developed BI solutions using Tableau and PowerBI. Managed AI/ML systems on Google Cloud, optimizing campaigns with Pandas and Apache Airow. Designed data models and data warehouses. Provisioned infrastructure with Kubernetes, AWS, and Terraform. Delivered training on Google Cloud and BI tools. ProjectsCredit Card fraud detection python, Data Science Developed and implemented machine learning prototypes for credit card fraud detection, utilizing anomaly detection and supervised learning techniques to enhance business intelligence and eectively identify and prevent fraudulent transactions. Spearheaded initiatives to enhance credit card security by integrating advanced fraud detection prototypes into the payment processing system, signicantly reducing fraudulent activities and improving overall business intelligence. Created and tested various prototypes for fraud detection features, leveraging business intelligence to ensure a secure nancial environment for users through robust and innovative security measures. Customer Segmentation and Sales Analysis Data Analysis, Data Visualisation Utilized Azure-Databricks, Alteryx, and SQL Server for data cleaning and blending, supporting capacity planning and forecasting eorts. Developed machine learning models in Dataiku for customer segmentation and sales forecasting, enhancing customer service strategies. Created interactive Tableau dashboards and detailed Excel reports, applying statistical analysis to visualize insights and improve decision-making.Gun Violence in USA Python, Data Visualisation Analyzed US gun violence data using Tableau and PowerBI, creating dynamic charts and visualizations that revealed trends and correlations, thereby enhancing understanding of the issues impact and dynamics. Designed interactive dashboards with lters and spatial mapping, allowing stakeholders to explore gun violence incidents by location, time, and demographics, and aiding in targeted interventions. Utilized statistical analysis to create detailed charts, providing stakeholders and policymakers with actionable insights into gun violence patterns for more eective decision-making. Technical SkillsLanguages and Technologies: C,C++,Python,Java, Scala, R, Perl,kafka, RUST, Go,Microsoft Oce Database and Cloud Technologies: SQL, OracleSQL, NoSQL, SAS, Hadoop, SPSS, Git, Scala, Kafka, Spark, Kubeow,Google Cloud Storage, PostgreSQL,Cassandra,Snowake, Jira,agile,azure, AWS,GCP, Oracle Cloud,Tableau, PowerBI, kubernetes, Terraform Devops: Jenkins, SpringBoot, GitITSM Tools: BMC Remedy |
