Akshitha D

About

Final-year Artificial Intelligence and Data Science undergraduate with hands-on experience in data science internships, machine learning projects, and IoT-based system design. Skilled in Python and SQL, with experience across EDA, feature engineering, model building, and dashboard deployment.

Experience

• Data Science and Machine Learning Intern
  Cyborg AI Gen
  2024 – Present

  Performed EDA on real-world datasets using Python, Pandas, and NumPy. Built and evaluated supervised ML models to solve business problems. Communicated findings through Matplotlib visualizations for data-driven decisions.

• Data Analytics Job Simulation
  Deloitte
  Jun 2026 – —

  Applied data analysis and forensic technology techniques, translating findings into actionable insights.

Education

• B.Tech
  JCT College of Engineering and Technology
  Artificial Intelligence and Data Science · 2023 – May 2027
• HSC
  Palora Higher Secondary School
  Science Stream (Mathematics, Physics, Chemistry) · 2021 – 2023
• SSLC
  Thiruvangoor Higher Secondary School
  2020 – 2021

Skills

• SQL <3 months
• Data Visualization 2 to 5 years
• Python <3 months
• Machine Learning 2 to 5 years
• Feature Engineering 2 to 5 years
• Matplotlib <3 months
• NumPy <3 months
• Pandas <3 months
• Streamlit <3 months
• scikit-learn <3 months
• Supervised Learning 2 to 5 years
• Requirements Gathering <3 months
• Process Improvement <3 months
• Statistical Analysis <3 months
• Workflow Design <3 months
• Joblib <3 months

Tools / apps / platforms

• Arduino <3 months
• Git <3 months
• GitHub <3 months
• Microsoft Excel <3 months
• Raspberry Pi <3 months

Projects

• AI-Based Network Intrusion Detection System ↗
  Python, Scikit-learn, Pandas, NumPy, Streamlit, Joblib, Matplotlib, Git, GitHub

  Built a system classifying network traffic (Benign, DoS, Port Scan, Brute Force) using a Random Forest Classifier. Engineered the data pipeline with Pandas/NumPy and persisted the model via Joblib. Built an interactive Streamlit app for manual entry and batch CSV uploads, deployed on Streamlit Cloud. Added visualizations, confidence scores, and a confusion matrix dashboard.

• SmartMedicine Vending and Monitoring System
  IoT, Business Process Analysis, Arduino, Raspberry Pi

  Designed workflow and business logic for an automated pill-dispensing IoT system for elderly care. Led requirement gathering and mapped hardware-software integration across Arduino and Raspberry Pi.