AKSHITHA PENTAKOTA

Results-driven Data Scientist with hands-on experience in data analysis, visualization, and cloud-based data platforms. Proficient in designing interactive dashboards using Looker Studio and executing complex queries with Google BigQuery. Skilled in leveraging Google Cloud Platform (GCP) to manage and analyze large-scale datasets, uncover actionable insights, and support data-driven decision-making. Passionate about transforming raw data into meaningful business solutions. Seasoned Data Scientist with background in designing and implementing data-driven solutions for various business challenges. Experience includes predictive modeling, artificial intelligence, machine learning, and big data technologies. Strengths lie in strong analytical thinking, problem-solving skills, and ability to translate complex data into actionable insights. Previous work has resulted in significant improvements in decision-making processes and business performance.

Book Knowledge App – AI-Powered Conversational PDF Reader
Tools Used: Flask, Google Cloud Run, Vertex AI, Speech-to-Text, Text-to-Speech, Google Cloud Logging & Monitoring

• Built a web app allowing users to interact with PDF books using voice commands, enhancing reading engagement.
• Integrated Google Cloud’s Vertex AI for NLP, and Speech-to-Text/Text-to-Speech for a seamless conversational UI.
• Enabled PDF upload and real-time AI-generated audio replies via Flask and GCP.
• Deployed the app on Google Cloud Run with asynchronous, serverless architecture.

Road Accident Detection System
Tools Used: Python, GSM, GPS, Smartphone Sensors

• Developed an automated accident detection system using smartphone sensors and GPS to reduce emergency response times.
• Integrated GSM modules to send location alerts to police stations and contacts in real time.
• Optimized cross-device communication for faster data transmission.
• Contributed to public safety with real-time incident reporting features.

Drone Surveillance and AI Operations
Tools Used: AI-integrated Drones, Cube Orange Flight Controllers, ANSYS

• Conducted aerial surveillance and situational monitoring using drones in agriculture, logistics, and rescue.
• Applied machine learning techniques for data-driven flight planning and real-time analytics.
• Simulated drone systems using ANSYS and optimized performance with Cube Orange controllers.

Para-Educator Software Application (Graduate Software Engineering Project)
Tools Used: Python, UML, Web Technologies, Secure Auth Systems

• Designed and implemented a teaching assistant management system to streamline TA recruitment and assignments.
• Integrated secure authentication, application workflows, user dashboards, and multilingual support.
• Developed multiple subsystems for TA applicants, administrators, instructors, and committee members.
• Ensured GDPR compliance, data encryption, and user role-based access control across the platform.

• Microsoft Certified: Proffessional Data Scientist Associate
• Hackerrank Certification in Python
• National Programme on Technology Enhanced Learning in Cloud Computing

English, Advanced