Data Analyst Solutions Architect

Umemah

Chicago, IL Email: *************@*****.*** Contact: 970-***-****

LinkedIn: https://www.linkedin.com/in/umemah-rasheed/ PROFESSIONAL SUMMARY

AWS Certified Solutions Architect and Data Analyst with cloud computing, Python, SQL, and database management expertise. Skilled in designing scalable AWS solutions, automating deployments, and optimizing cloud infrastructure. Experienced in risk investigation at Amazon, ensuring fraud detection and compliance. Passionate about leveraging cloud and data insights for business improvement. TECHNICAL SKILLS

• Cloud Computing: AWS (EC2, S3, Lambda, RDS, DynamoDB, VPC, IAM, CloudFormation, CloudWatch, Route 53, API Gateway, SNS, SQS, Redshift)

• Programming & Tools: Python, SQL, R, C, C++, Java, SQL Server Management Studio

• Data Analysis & Visualization: Pandas, NumPy, Matplotlib, Seaborn, Tableau, Power BI

• Databases: MySQL, PostgreSQL, MongoDB

• Cloud: AWS, Azure

• Machine Learning: Scikit-learn, TensorFlow (Basic)

• Software Development & QA: Agile, SDLC, STLC

PROFESSIONAL EXPERIENCE

Amazon – Risk Investigation Specialist

• Investigated and analyzed fraud risks using SQL and Python-based data queries.

• Identified patterns in fraudulent activities and contributed to risk mitigation strategies.

• Collaborated with cross-functional teams to enhance data-driven decision-making.

• Developed reports to track fraudulent trends, improving fraud detection efficiency. PROJECTS

False Discovery Analysis in Data

• Conducted an in-depth review of Naouma (2019) on false discovery in data science.

• Applied Python statistical libraries to detect and mitigate false discoveries in datasets.

• Developed an automated pipeline for anomaly detection, improving model accuracy.

AWS Serverless Data Pipeline

• Built a data pipeline using AWS Lambda, S3, and DynamoDB for real-time data processing.

• Integrated API Gateway to trigger Lambda functions for dynamic data ingestion.

• Monitored and secured infrastructure using IAM and CloudWatch alerts. Measurement and Analysis of HVAC Parameters of BMS using Cloud Storage

• Implemented data collection and analysis using cloud storage to improve building management systems.

• Developed workflows to ensure data accuracy and efficiency.

• Utilized AWS services for secure storage and efficient retrieval of HVAC data.

• Hosted a website on S3 with regular updates showing changes in the parameters of the BMS.

Employee Feedback Analysis

• Analyzed employee feedback by removing inconsistencies and using statistical methods for data visualization and strategy building.

• Leveraged sentiment analysis techniques to understand employee satisfaction levels.

• Designed dashboards in Power BI to visualize key insights and recommendations. EDUCATION

Masters in information technology

• University of the Cumberlands, 2024

Bachelors in Electronics & Instrumentation Engineering

• Osmania University, 2019

CERTIFICATIONS

• AWS Certified Solutions Architect – Associate

ADDITIONAL INFORMATION

• Work Authorization: Eligible to work in the U.S. (F-1 OPT)

• Languages: English, Hindi, Urdu, Telugu

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