AKSHITHA PENTAKOTA
Delray Beach,United States
Summary
Detail-oriented Data Scientist with hands-on experience in cloud-based analytics, data pipelines, and AI-driven solutions. Proficient in Google Cloud Platform (BigQuery, Vertex AI, Cloud Run), Python, SQL, and Looker Studio. Completed a data science internship focused on real-time dashboards, predictive modeling, and workflow automation. Passionate about transforming complex data into actionable insights using ML, cloud tools, and scalable architecture.
Overview
2
2
years of professional experience
1
1
Certification
Work History
Data Scientist Intern
INBOUNDPRO LLC
Fort Lauderdale, FL
01.2025 - 04.2025
- Spearheaded the development of real-time business intelligence dashboards using Looker Studio and Google BigQuery, empowering leadership with actionable insights and reducing manual reporting workload by 40%.
- Constructed data pipelines using SQL and Python to ingest, transform, and standardize large datasets across multiple sources for seamless integration into GCP-hosted analytics workflows.
- Orchestrated data processing environments on GCP Virtual Machines and deployed scalable ETL jobs, improving processing efficiency by 30% and reducing latency in daily reporting.
- Conducted exploratory data analysis (EDA) and collaborated cross-functionally with marketing and operations teams to detect performance bottlenecks, contributing to a 12% increase in campaign efficiency.
- Led experimental modeling using Vertex AI, testing classification algorithms (Logistic Regression, Decision Trees) to prototype predictive systems such as customer churn and lead scoring models.
- Introduced process documentation and dashboard templates, decreasing onboarding time for future analysts and interns by 35%.
Software Programmer Intern
DRONE TECHNOLOGIES
Visakapatnam, Andhra Pradesh
01.2023 - 05.2023
- Engineered an aerial surveillance pipeline using AI-enabled drones for real-time data collection in agriculture, logistics, and emergency response scenarios.
- Integrated telemetry and environmental data from drone sensors into analysis-ready formats using Python, enabling data-driven flight path optimization.
- Deployed machine learning models for object recognition and area monitoring, achieving 80%+ accuracy in detecting land usage patterns from onboard cameras.
- Simulated drone mechanics and sensor calibration using ANSYS, and optimized drone responsiveness with Cube Orange Flight Controllers for mission-critical accuracy.
- Contributed to the development of automated decision-making modules, allowing drones to adapt in-flight based on incoming sensor data.
Education
Masters - Computer and Information Sciences
Florida Atlantic University
Boca Raton, FL05.2025
Bachelor of Technology - Electronics and Communications Engineering
Vignan Institute of Information Technology
Visakhapatnam, India04.2023
Skills
- Languages & Tools: Python, SQL, Java (Basics), HTML
- Cloud Platforms: Google Cloud Platform (BigQuery, Cloud Run, Vertex AI), Microsoft Azure (certified)
- Visualization & BI: Looker Studio, Google Data Studio
- Frameworks & Libraries: Flask, Pandas, NumPy, Scikit-learn, TensorFlow (basics)
- Tools: GitHub, Docker, Virtual Machines, ANSYS, GSM/GPS modules
Certification
- Microsoft Certified: Professional Data Scientist Associate
- Hackerrank Certification in Python
- National Programme on Technology Enhanced Learning in Cloud Computing
Projects
AI Book Reader Web App (Conversational PDF Assistant)
Flask, Google Cloud Run, Vertex AI, Speech-to-Text, Text-to-Speech
- Built a cloud-native web app enabling users to interact with books via voice, enhancing accessibility and engagement.
- Used Vertex AI for NLP, supported by real-time Speech-to-Text/Text-to-Speech APIs.
- Integrated PDF parsing and live conversational response generation using serverless Flask APIs deployed on Cloud Run.
Python, GSM, GPS, Mobile Sensors
- Developed a real-time accident detection system using smartphone accelerometer data and GPS positioning.
- Automated SMS alerts via GSM modules to emergency contacts and authorities.
- Validated accuracy across devices, achieving >90% success rate in simulated crash detection.
ML Models, AI-Integrated Drones, ANSYS, Cube Orange FCs
- Applied ML models for real-time flight planning and video analysis from AI-equipped drones.
- Led drone data integration into actionable surveillance reports for agriculture and logistics use-cases.
- Simulated hardware behavior in ANSYS and fine-tuned navigation algorithms with real telemetry data.
Python, Secure Auth, Web Technologies, UML
- Designed a cloud-based TA management system with multi-role dashboards for students, admins, and instructors.
- Integrated role-based access control, multilingual support, and GDPR-compliant data encryption.
- Developed workflows and dashboards with end-to-end user authentication and secure backend.
Timeline
Data Scientist Intern
INBOUNDPRO LLC
01.2025 - 04.2025
Software Programmer Intern
DRONE TECHNOLOGIES
01.2023 - 05.2023
Masters - Computer and Information Sciences
Florida Atlantic University
Bachelor of Technology - Electronics and Communications Engineering
Vignan Institute of Information Technology
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