Machine Learning Data Analytics

Vamsi Kalahasthi

*** ****** *, ******, ***** ****1

940-***-**** *****************@*****.***

EDUCATION

University of North Texas – Masters in Advanced Data Analytics, Denton, TX, CGPA - 4/4 Jan 2023 - Dec 2024

• Completed core courses: Data harvesting and restoring, Discovery learning in Bigdata, Data Modelling, Large data Visualization, Applications and deployment of data analytics, Machine Learning, and data mining Sri Venkateswara College of Engineering and Technology, India Jul 2016 - May 2020 Bachelor of Technology in Computer science and Engineering

• Completed courses DBMS, Data Structures, Java, Python, Complier Design and Web Development using HTML, CSS, and Java Script.

TECHNICAL SKILLS

• Programming Languages: Python, Java, C, C#, Shell Scripting, JavaScript

• Cloud Services: AWS (Lambda, S3, VPC, EC2, API Gateway), GCP (Kubernetes, IAM, SQL)

• Operating Systems: Linux, Windows

• Networking: TCP/IP, DNS, OSI Model, Routing, Switching, Firewalls, LAN/WAN, traceroute, iperf, dig, cURL

• Software Development: OOP, API Development & Troubleshooting, System Design

• DevOps & CI/CD: TCP/IP, Jenkins, GitLab, Terraform, DataDog

• Database Technologies: Microsoft SQL Server, MySQL, SQL, NoSQL, RDBMS, DocumentDB

• Machine Learning: Classification & Regression, Normalization, Time Series Analysis EXPERIENCE

Data Engineer (ETL Developer), Sonata Software (Client: Truist), United States Oct 2024 – Mar 2025

• Worked in the MapDocs team as part of the data migration process.

• Developed ETL pipelines to extract, transform, and load data efficiently.

• Ensured data integrity and consistency across multiple systems during migration.

• Optimized SQL queries and database performance for large-scale data transfers.

• Collaborated with cross-functional teams to address data-related challenges.

• Utilized tools like Informatica, Snowflake, and Python for ETL development. Project Engineer, Wipro, India Sep 2020 – Dec 2022

• Analyzed large datasets to unveil business insights, utilized Tableau to craft dynamic dashboards for KPI monitoring. Was proficient in predictive modeling, forecasted customer behavior, and offered data-driven solutions to support decision- making.

• Worked on the automation of SQL Server Database functionalities such as Restore, Backup, and Replication.

• Utilized SQL proficiency to ensure seamless data extraction, transformation, and loading processes while collaborating with stakeholders to meet data needs.

• Implemented machine learning algorithms and maintained meticulous documentation to ensure accuracy and efficiency in reporting solutions.

Associate Engineer, Hexaware, India Dec 2019 – Sep 2020

• Worked on the automation of SQLServer Database functionalities such as Restore, Backup and Replication.

• Worked with Git to avoid conflicts in multi-developer projects and appollo environment for deployments.

• Applied Root-Cause-Analysis approach to find bugs and issues in the current features.

• Jira and SIM tools for the operational purpose to support the customer better and address their problems. ACADEMIC PROJECT EXPERIENCE

A Data-Backed Approach to book Publishing House Success: Tableau, Excel.

• This project is aiming to understand the patterns and preferences of the different age groups and the stats to know about the sales of books in multiple genres in major cities of USA. Mostly useful for the publishing houses to upscale their sales. Medical Insurance Fraud Detection: R

• This project is about the fraud detection in claiming the medical insurance focusing to be fair for the true ones. Provide the appropriate funds for the claims and give clear feedback about the users to the client. Mostly useful for the insurance companies to make insurance available for faithful claims. AWARDS

Received the Best Performer award from Wipro for the best performance in the project – Dec 2021

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