Machine Learning Information Systems

SYAMALA MAKIREDDI

Maryland, USA 443-***-**** *****************@*****.*** My LinkedIn

OBJECTIVE

Engineering professional with 2+ years of experience in Cloud systems, Data operations, and Process automation. Proficient in Python, SQL, and AWS tools (EC2, S3, RDS) with strong skills in building ETL pipelines and automating workflows using Terraform and CloudFormation. Known for delivering data-driven solutions, improving reporting systems, and enhancing performance across technical environments. EDUCATION

M.S. in Information Systems, University of Maryland Baltimore County Aug’23–May’25 Relevant Coursework: ML, Advanced Database Projects, Cloud Computing, Cybersecurity Analytics, Data Mining, Information Extraction, Decision Technology Systems, Structured Systems Analysis and Design, Statistics Learning for Data Analysis. SKILLS

• Programming: C, Python, R, Java, SQL, HTML, Shell Scripting, CSS

• Cloud Platforms: AWS (EC2, S3, RDS, Lambda, VPC, IAM, CloudWatch, CloudTrail), Azure, GCP,Terraform, AWS CloudFormation.

• Machine Learning & AI: LLM, GenAI, SVM, KNN, Random Forest, Decision Trees, NLP, Reinforcement Learning, Predictive Analytics

• Big Data & Databases: Apache Hadoop, Spark, MongoDB, Cassandra, SQL Server, MySQL, Oracle, Google BigQuery

• Data Visualization & Tools: Tableau, Power BI, Matplotlib, Pandas, NumPy,MS Office, Excel, Agile, Trello, Asana, Slack.

• Development Tools: Jupyter Notebooks, Eclipse, Apache Tomcat, Angular, React, Node.js, Anaconda, Git, GitHub. WORK EXPERIENCE

IT Support Coordinator – Progressive Maryland-Environmental Justice Team April’25 – July’25 Baltimore, USA

• Managed daily technical and administrative operations across 20+ buildings, streamlining workflows with Smartsheet and Microsoft Project, which reduced manual tracking.

• Developed custom dashboards and reporting systems to track inventory, task completion, and access requests, resulting in a 35% drop in equipment-related issues.

• Resolved 100+ technical support requests related to login access, system navigation, and account permissions, achieving a 97% first-call resolution rate.

• Authored step-by-step SOPs and visual training guides adopted across departments, significantly reducing repeated user inquiries and onboarding time.

• Coordinated with IT and procurement teams to improve data accuracy and communication across departments, accelerating system updates and user onboarding.

• Audited and validated internal records for compliance, ensuring clean data and accurate reporting for internal audits and reviews. Data Scientist – Sports Media Inc., May’24 – April’25 Colorado, USA

• Built automated data pipelines using Python and SQL to collect and clean large datasets, ensuring fast and accurate access to insights that helped teams make quicker, better decisions.

• Analyzed marketing campaigns through A/B testing and user segmentation, which improved audience targeting and led to a 12% rise in user engagement.

• Created real-time dashboards in Power BI and Tableau, giving leadership instant access to campaign performance and helping them act quickly on results.

• Reduced manual data processing time by over 50% by automating ETL workflows, freeing up team time and reducing errors in weekly reports.

• Worked closely with marketing and product teams to turn complex data into simple, clear insights, which directly shaped content strategies and improved user retention.

• Used GitHub and Agile tools to manage tasks and updates, ensuring smooth teamwork, faster feedback, and consistent delivery of insights each week IT Research Intern – Information Systems Optimization Andhra University, India May’22 – Aug’22

• Collected & analysed data from the university’s IT systems to find ways to improve speed & efficiency in handling student records, course management, & administration.

• Used SQL to clean and organize large datasets from university databases, making data searches faster and reducing errors in reports and records.

• Built predictive models using Python to estimate system usage and optimize resource allocation, ensuring smooth operation during peak times.

• Worked with the university’s IT staff to suggest and test improvements like better database structures and faster ways to access information, enhancing overall system performance.

PROJECTS

1. Data Integration & ETL Pipeline Project

• Developed a complete data integration pipeline using Python (Pandas, Requests), where I extracted structured and unstructured data from multiple sources including REST APIs, CSV files, and AWS S3 buckets. Developed custom logic to clean, validate, and normalize the data, ensuring consistency and accuracy before transformation.

• Stored processed data into a centralized PostgreSQL database for downstream analysis and reporting. Integrated SQL queries for scheduled aggregations and summarizations that were consumed by business intelligence tools.

• Automated the entire pipeline using AWS Glue workflows and Talend for data orchestration, scheduling, and monitoring, which reduced manual intervention by 70% and improved data delivery timelines for analytics teams. 2. Cloud Infrastructure & Data Migration Project

• Migrated legacy systems to AWS by designing and implementing a secure, scalable architecture using EC2, RDS, and S3. Wrote Python scripts for data extraction and schema conversion.

• Normalized data structures, fixed referential integrity issues, and implemented transformation logic to ensure a smooth migration and improved system performance.

• Conducted testing and performance tuning on the new setup and created detailed migration documentation and rollback strategies to support ongoing maintenance.

• Wrote complex SQL queries using JOINs, GROUP BY, HAVING, subqueries, and CASE statements to generate reports on academic performance, enrollment trends, and top-performing students by department.

3. AWS Cloud Infrastructure Deployment

• Designed, built, and deployed an enterprise-grade cloud infrastructure using AWS services including EC2, S3, RDS, Lambda, VPC, IAM, and Auto Scaling Groups to support dynamic application workloads.

• Used Terraform and CloudFormation for Infrastructure as Code (IaC), ensuring consistent and repeatable deployments across multiple environments with integrated version control via GitHub.

• Implemented system monitoring using AWS CloudWatch and CloudTrail, established cost tracking and alert policies, and enforced security standards using IAM policies and least privilege access controls to maintain a secure, scalable, and cost-effective environment. CERTIFICATIONS

• Oracle Certified Associate, Java SE 8 (1Z0-808)

• CompTIA Network+ (N10-008)

• Certified course in Oracle Database SQL (1Z0-071)

• Full Stack Java developer – Java + JSP + Restful WS + Spring

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