HARIPRIYANKA KAMIREDDY
Data Science undergraduate
Data Science undergraduate (CGPA 8.71/10) with hands-on experience building AI and computer vision systems. Skilled in Python, machine learning, OpenCV, MediaPipe, and data analytics. Developed a real-time face-gesture accessibility system integrating Arduino IoT hardware with computer vision, and built interactive BI dashboards. Passionate about applying machine learning to solve customer-facing problems at scale — aligned with Amazon's mission of customer obsession and data-driven decision making.
Experience
Python Full Stack Development Virtual Internship
Industry Training Program
2024 – 2024
- Gained practical experience in Python programming, database management, and web application development through project-based learning.
- Strengthened software engineering fundamentals including version control, debugging, and application lifecycle management.
Projects
Hands-Free Cursor Control Using Face Gestures
2024 – 2024
Built a real-time accessibility system using OpenCV and MediaPipe Face Mesh to track 468 facial landmarks and map head movements to cursor coordinates via linear interpolation (PyAutoGUI).Implemented Eye Aspect Ratio (EAR) algorithm to detect left/right eye blinks and trigger click events; mouth aspect ratio (MAR) detection to toggle scroll mode — achieving <200ms response latency.Integrated Arduino hardware via PySerial (UART) with an IR sensor for dual-channel blink detection, combining vision-based and hardware-based input signals.Built a real-time Matplotlib dashboard (4-panel rolling buffer) to visualize EAR values, click events, and scroll state live during operation; added a Tkinter GUI for user instructions.Demonstrated end-to-end ML system design: sensor input → landmark detection → gesture classification → system action — a pipeline similar to Amazon's accessibility and Alexa gesture projects.
Sales Analytics Dashboard
2024 – 2024
Designed an interactive Power BI dashboard tracking sales KPIs across regions and product lines, reducing manual reporting effort through automated data refresh.Performed exploratory data analysis (EDA), data cleaning, and feature engineering on raw sales data to surface actionable business insights for stakeholders.Applied statistical methods to identify trends and anomalies, demonstrating data-driven decision-making skills aligned with Amazon's analytical culture.
Developed a cultural information platform with an AI-powered chatbot backend, improving information accessibility and digital engagement for Indian heritage content.Designed a user-friendly web interface integrating structured data retrieval with natural language queries — an applied introduction to NLP and retrieval systems.
Education
Malineni Lakshmaiah Women's Engineering College
B.Tech, Data Science
2023 – 2027
Sri Chaitanya Junior College
Intermediate (Class XII)
2020 – 2022
Skills
ML / AIScikit-learn (basic)Computer VisionFacial Landmark DetectionEye Aspect Ratio (EAR) algorithmsReal-time inference
LibrariesOpenCVMediaPipeNumPyPandasPyAutoGUIMatplotlibPySerialTkinter
Data & BIPower BIMicrosoft ExcelEDAKPI Dashboard DevelopmentStatistical Analysis
Hardware / IoTArduinoIR SensorSerial Communication (UART)
ToolsJupyter NotebookVS CodeGit / GitHub
Soft SkillsAnalytical ThinkingProblem SolvingCommunicationTeamworkCustomer Obsession
Certifications
- Oracle Analytics Cloud (OAC) Certification
- Python Full Stack Development Virtual Internship Certificate2024