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Click here or scroll down to respond to this candidateSummaryEducation and TrainingSkillsExperienceAcademic ProjectsCandidate's Name
Cincinnati, Ohio 45220 PHONE NUMBER AVAILABLEEMAIL AVAILABLEBI Analyst with over 2 years with a strong background in data Analytics and designing scalable data architectures in supply chain planning, optimizing data pipelines, preparing reports and managing multiple Tableau dashboards. Proficient in modern technologies (Spark, Kafka, AWS) and experienced report development in collaborating with cross-functional teams to deliver data-driven insights with metadata management and data management. 04/2024 School of Information Technology, University of Cincinnati Cincinnati, OH Master of Science Information TechnologyAwarded Graduate Incentive AwardRelevant Coursework: Principles of cybersecurity; Data Driven Cybersecurity; Operating systems; Advanced system administration; Tech for Mobile apps.GPA: 3.93/4.004/2022 Osmania University Hyderabad, IndiaBachelor of Engineering Computer ScienceGPA: 3.5/4.0Programming Languages: Python, R & C++, C#Databases: SAP HANA, MongoDB, Oracle EPM, Microsoft MySQL, PL/SQL, ETL, Data Warehousing, Data Lake, Data Hub, snowflake, CI/CD, GitSAP Systems: SAP S/4 HANA, SAP BI/BW & SAP R/3Operating Systems: Linux, WindowsWeb Technologies: CSS3, HTML5Web Frameworks: React & TypescriptFile Formats: XML, JSON, CSVMS Office Tools: Powerpoint, Microsoft Excel (Vlookup), Word, Google sheets.Big Data: Spark, Hadoop, PySpark, KafkaCloud Technologies: AWS(Amazon Web Services), DevOps Data Visualization Tools: Tableau, Power BI, SAS, Matplotlib, SeabornBI Analyst, 01/2021 12/2022Natsoft Hyderabad, TelanganaContributed to the software design and development of scalable data architectures and systems for handling large data volumes, collaborating across teams.Built and optimized data pipelines for efficient data analytics, transformation, and requirements gathering from diverse sources and sql server datasets, prioritizing database management and Data maintenance. Developed full stack software development applications for activity management supply chain process to oversee the operations and integrating the Applications with various ERP Systems such SAP, Oracle and Epicor market research and product delivery in market intelligence with trend analysis.Worked and managed multiple datasets task assignment closely with stakeholders including Data Scientists, Machine Learning Engineers, Business Analysts, and Product Owners to understand core business requirements in information system. Implemented testing for user experience, validation, and pipeline observability practices to ensure data pipelines met customer SLAs, troubleshooting issues as needed.Created Data Models in SAP Business Application Studio and generated webservices to integrate data from SAP HANA Database queries to Data visualization tools such as tableau.Utilized modern technologies like Spark, Kafka, and cloud platforms AWS to develop data pipelines supporting advanced functionalities such as Machine Learning and Business Intelligence.ETL Cloud Based Pipeline with Apache Airflow on EC2 (Tech: Python, Apache Airflow, AWS EC2, AWS S3, Open Weather Map API) Jan 2024-Apr 2024Extracted Data: Retrieved current weather data from the Open Weather Map API through python by virtual environment and identified KPI's. Transformed and Loaded Data: Includes project management and stored the data into an AWS S3 bucket through python in visual studio code. Workflow Management: Utilized Apache Airflow for efficient process enhancement in task scheduling and workflow management using DAG'S. AWS Integration: Successfully deployed Apache Airflow on an AWS EC2 instance and integrated with AWS S3 for data storage. Automation: Achieved reliable and automated data processing with minimal manual intervention. Airflow DAGs and Operators: Gained proficiency in creating and managing Directed Acyclic Graphs (DAGs) and custom operators in Airflow(90%).Electric Vehicle Market Analysis and Trends Visualization (Tech: Python, Tableau, Regression Models, Web Scraping) Apr 2024 Tableau: Created interactive dashboards to visualize key insights and trends in the EV market. Regression Models (Random Forest, Ridge Regression): Analyzed factors influencing the growth and adoption of EVs to predict future trends in EV market share and electric range improvements.Web Scraping: Collected up-to-date data from various online sources, including EV manufacturers and market reports. Our dataset shows a robust growth in the total number of EVs, with a balanced mix of BEVs and PHEVs. Water Quality Index Prediction/ Bachelor of Engineering (Tech: Python, Python Web Frameworks, Python for Data Analysis, Python for Data Visualization, Data Pre-processing Techniques, Machine Learning, Regression Algorithms.) Mar 2022-May 2022 Generated an innovative statistical applied machine learning model website to predict water quality index (WQI) A remarkable increase in accuracy, surpassing traditional methods by up to 20% within the groups Reduced prediction errors by 10%, ensuring more reliable water quality assessments consumption |
