Dharavath Saraswathi
Professional Summary
Python Developer with 9+ months of internship experience building backend data pipelines, REST APIs, and API-driven web features using Python, Pandas and PostgreSQL. Delivered data-cleaning pipelines and Power BI dashboards to support analytics and model validation at a data-science internship, and implemented API integrations and frontend performance fixes at a web-development internship. Hands-on with scikit-learn for model evaluations and with TensorFlow/Keras and OpenCV through academic image-classification work. Familiar with cloud fundamentals on AWS and GCP, Git and GitHub-based workflows, SQL query optimization, and Agile sprint delivery. Completed telecom networking training to strengthen hardware troubleshooting and monitoring skills. Seeking an entry-level Python Developer role to apply data engineering foundations, API integration experience, and machine-learning readiness in production teams.
Technical Skills
Work Experience
- Developed data-cleaning and preprocessing pipelines in Python using Pandas and NumPy to standardize heterogeneous inputs for downstream reporting and ML training.
- Optimized SQL queries on PostgreSQL to accelerate data extraction and simplify joins for analytics workflows.
- Built interactive Power BI dashboards from curated datasets to surface KPIs and enable faster decision-making for business stakeholders.
- Implemented data validation and logging steps inside ETL scripts to detect schema drift and prevent bad data from reaching models.
- Managed code versions and feature branches with Git to support iterative development and peer reviews during delivery cycles.
- Backed model validation workflows by preparing feature sets and running scikit-learn evaluations to identify data quality issues prior to deployment.
- Implemented backend REST API endpoints in Python to support dynamic content and client-facing features.
- Integrated MySQL-backed data storage and wrote optimized SQL queries to support user-facing functionality.
- Implemented client-side rendering and interactive UI components using JavaScript and HTML.
- Refactored frontend JavaScript and CSS to reduce render-blocking and improve page load performance.
- Managed pull requests and conducted code reviews in GitHub to reduce the bug backlog and accelerate release cycles.
- Authored API integration guides and feature documentation to speed onboarding and troubleshooting by QA and frontend teammates.
- Completed practical training in optical fiber communication systems, gaining hands-on experience with cable handling and basic signal concepts.
- Supported troubleshooting telecom systems and performing structured fault-isolation exercises under instructor guidance.
- Performed routine inspections and signal testing as part of lab exercises to verify connectivity and link integrity.
- Documented test procedures and maintenance steps to standardize installation and monitoring workflows.
- Backed network monitoring activities and learned basic telemetry and alarm interpretation for telecom links.
- Demonstrated adherence to telecom safety practices and standard operating procedures during field and lab sessions.
Projects
- Developed a CNN-based image classification model using Python, TensorFlow/Keras, and OpenCV to identify and categorize different types of waste.
- Preprocessed and enhanced image datasets using resizing, normalization, and augmentation techniques to improve model training.
- Trained and evaluated the model using appropriate performance metrics to support accurate real-time waste classification.
- Designed the solution to assist automated waste management and improve the efficiency of waste segregation processes.
- Developed a voice-controlled robot using Python SpeechRecognition, Arduino, and IoT components for hands-free movement control.
- Converted spoken commands into actionable instructions, enabling the robot to perform forward, backward, left, and right movements.
- Integrated Python with the Arduino microcontroller to control motors and coordinate hardware responses.
- Tested and debugged the system to improve command recognition, movement accuracy, and overall reliability.
- Developed a Bluetooth-based home automation prototype using Python, embedded systems, and IoT technologies.
- Enabled wireless control of household appliances through Bluetooth communication and programmed control commands.
- Integrated the microcontroller, Bluetooth module, and switching components to operate appliances remotely.
- Tested the prototype for reliable communication, device response, and safe appliance control.
Education
Certifications
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