Greshma Vachepalli

Phone: +1-302-***-**** Email: ad482l@r.postjobfree.com Place: Newark, Delaware, USA. Technical Expertise

● Machine Learning: Regression, Classification, Clustering, Natural language processing (NLP), Deep learning, Time Series Forecasting, Data Visualization, Data Reporting, Pandas, Numpy, Supervised learning, Unsupervised learning

● Languages and Tools: R, Python, SQL (MS-SQL, MySQL and Oracle), SAS, MATLAB, Azure, Java, Tableau, Power BI, Git, Jira, Snowflake, Informatica, Teradata, Big Query, GCP, Microsoft Azure, Tensorflow, MS Excel, QlikView, MS Visio, Power Point Professional Experience

AI/ML Developer, Nebula Cybersecurity Inc., TX, USA Mar 2023 – Present

● Engaged in collecting, cleaning and preprocessing data for machine learning tasks, integrating AI/ML models into existing systems or applications, and keeping updated with the latest developments and best practices in AI/ML

● Developed and implemented machine learning models using libraries like Tensorflow, Pytorch, or scikit-learn

● Collaborated with cross-functional teams to understand project requirements and deliver high-quality solutions

● Documented and Communicated the implementation details, experimental findings, and results to stakeholders

● Participated actively in team meetings, brainstorming sessions, and knowledge sharing activities Research Assistant, University of Delaware, Delaware, USA Jun 2022 – Dec 2022

● Conducted research on SaltWater Intrusion, which involved gathering, analyzing data, and implementing solutions

● Developed a web-based mobile application, using Python, for the concept of Saltwater Intrusion project, funded by NASA and NSF, where the application is used to report and find salt patches on farmlands

● Received positive feedback on poster presentation at DARWIN computing symposium 2023 for the research work Application Development Associate, Accenture Solutions Pvt. Ltd, Hyderabad, India Mar 2021 – Jan 2022

● Proficiently utilized IBM DataStage, a leading ETL (Extract, Transform, Load) tool to handle data extraction, transformation and loading processes

● Managed end-to-end data integration tasks, extracting data from diverse sources, transforming it as per business requirements, and loading it into target system

● Designed and Developed ETL processes to ensure efficient data flow and integration across different systems

● Monitored DataStage jobs closely to identify and address issues promptly, ensuring minimal job failures or aborts

● Worked with Teradata, specializing in managing and querying large-scale relational databases Programmer Analyst Trainee, Cognizant Technology Solutions, Hyderabad, India Jan 2021 - Dec 2021

● Trained comprehensively in Java Spring Boot tool and Java Spring Framework with a collaborative team

● Designed, coded, tested, and deployed a standalone web application at the end of the internship

● Implemented RESTFUL APIs using Spring Boot for seamless data exchange between the server and client-side of the application Trainee, Cloud4C Services Pvt. Ltd, Hyderabad, India Jun 2020 – May 2021

● Worked and gained strong knowledge of cloud platforms such as Google Cloud (GCP) and Microsoft Azure

● Designing, developing, and managing cloud-based infrastructure, Azure solutions and applications

● Resolved P3 incidents which have a moderate impact on the organization and may involve minor system failures Academic Projects

Sales Data Analysis using Power BI Power BI, Power Query, DAX, Data Cleaning, Data Visualization

● Simulated sales data and used Power Query in Power BI to clean and transform the data for analysis, Created relationships between different data tables and used DAX formulas to create calculated columns

● Designed interactive dashboards and reports that provided insights into sales performance, customer behavior, and product trends. Used various Power BI visualization tools including charts, tables, and maps. Data Analysis and Visualization Python, SQL, MS Excel, Tableau

● Simulated Analyzed a large dataset of customer transactions using SQL to identify key trends and patterns

● Led the analysis, which involved responsibilities such as cleaning the data, analyzing it, and visualizing the results

● Created interactive dashboards in Tableau, enabling stakeholders to make data-driven decisions Customer Segmentation and Churn Analysis SAS, R, Microsoft Excel, SQL, Python, Github

● Implemented procedures for exploratory data analysis and segmentation techniques to categorize customers based on usage patterns and demographic attributes, later performed Regression Analysis and Time series Analysis

● Utilized predictive modeling approaches like logistic regression, decision trees to analyze churn behavior, identify key predictors and Interpreted model results to understand the drivers of customer churn and segmentation dynamics

● Leveraged platforms like GitHub for collaborative development and version control, enabling efficient teamwork Education

University of Delaware

Master of Science, Data Science

Jawaharlal Nehru Technological University

Bachelor of Technology, Computer Science

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