Sreya Sree Siloju

Successful R&D Software Development Engineer offering 2.5 years of experience in demanding environments focused on producing cutting-edge designs for Manufacturing and Automation Industry. Skilled in directing development with creative and performance-oriented approach. Well-organized and customer-focused with proven skills in project management and team leadership. To seek and maintain full-time internship position that offers professional challenges utilizing interpersonal skills, excellent time management and problem-solving skills.

Predictions of generated income

• Unsupervised learning predicts individual income using clustering techniques and machine learning models (logistic regression, random forest, SVM) evaluated with metrics to select the best fitting model, detailed in
• GitHub repository: https://github.com/sreya-sree/Projects/blob/main/Prediction%20of%20income.ipynb

Revolutionizing customer usage with data-driven insights

• Identifying customer churn early using over 500 MB of data analyzed in Data Bricks with PySpark and machine learning to preserve revenue, improve UI, and allocate resources efficiently, detailed in
• GitHub repository: https://github.com/sreya-sree/Projects/blob/main/Customer%20Churn%20Prediction.dbc

Streamlining the Software Development process using Azure DevOps and Power BI dashboard

• Optimizing project status showcasing through Power BI and Azure DevOps integration, leveraging CSV data in Azure DevOps connected to Power BI via SQL for visualizations, enhancing SDLC and product quality, detailed in
• GitHub: https://github.com/sreya-sree/Projects/blob/main/Crime%20detection%20in%20Baltimore.ipynb

Crime data analysis in Baltimore

• Analyzing Baltimore crime trends, correlating crime type and location, identifying most recorded crimes, crime rate over years, and peak reporting times, implemented in Python with NumPy, SciPy, pandas, seaborn, and Matplotlib, detailed in
• GitHub repository: https://github.com/sreya-sree/Projects

Voice-Based Home Automation

• Regulating and monitoring home appliances with multi-language voice commands via Raspberry Pi programmed in Python with NumPy, pandas, and speech recognition libraries, integrating results into web interface and Android app (HTML, CSS, Android Studio), aiding elderly, children, and persons with disabilities, facilitating tasks via voice commands.

• CBIT Makers of India Club, Executive Board Member from 2019-2020 where brought awareness and educated a count of 50 new students with the new technologies like Raspberry PI, Arduino, Python, etc.
• CBIT, Fest Volunteer 2017 Volunteered for a technical fest in the department consisting of 300 members which involved technical questions provided information for students.

• Programming for Everybody (Getting Started with Python) - Coursera
• Python Data Structures - Coursera
• Machine Learning Onramp - MATLAB
• Programming Foundations: Databases - LinkedIn