Summary
Work History
Education
Skills
Languages
Project
Awards & Certifications
Hobbies
Timeline
Intern
PRASANNA KUMAR PHANIDARAPU

PRASANNA KUMAR PHANIDARAPU

Hyderabad,TG

Summary

Highly motivated AI/ML fresher with strong analytical skills and a passion for learning new technologies. Ready to contribute to real-world AI projects and support team success through rapid skill development.

Work History

INTERN

Infoziant
06.2023 - 07.2023
  • Assist in day-to-day tasks related to software AIML Projects
  • Worked as an AI/ML Intern at Infoziant, contributing to the development and optimization of machine learning and NLP models through data preprocessing, feature engineering, and model evaluation.

Education

B TECH - AIML

KALASALINGAM UNIVERSITY
05.2024

12 th grade -

Narayana Jr College
04.2020

Matriculation -

St Joseph's English Medium School
04.2018

Skills

  • Programming : Python, OOP, Data Structures & Algorithms ,SQL,HTML
  • Machine Learning : Regression, Classification, Clustering, Feature Engineering, Model Evaluation
  • Deep Learning : Neural Networks, CNN, RNN, LSTM
  • NLP : Text Processing, Tokenization, GTTS, Conversational AI
  • Tools : NumPy, Pandas, Scikit-learn, TensorFlow, PyTorch, Matplotlib, Seaborn, Jupyter Notebook
  • ML-Ops : FastAPI, Flask, Git, Docker (basic)
  • Data Handling : SQL, Data Cleaning, EDA

Languages

ENGLISH
TELUGU
HINDI
TAMIL

Project

AI voice Assistant  (5 Months)


Efficient Voice Processing : Leverages GTTS for natural text-to-speech and NLP for accurate command interpretation, enabling seamless user interactions.

Task Automation : Handles queries, tasks, and responses via voice commands, reducing manual input by 70% in daily use cases.

Real-Time Responsiveness : Processes inputs with low latency using Python libraries, achieving 85%+ accuracy on diverse accents.

Customizable & Scalable: Built over 4 months with modular design for adding features like reminders or multilingual support

  • Used Mlflow for experiment tracking and ASR model monitoring, ensuring continuous improvement through real-time feedback loops and automatic model evaluation.
  • Enhanced accessibility by adding emotion-aware response generation using sentiment analysis (RoBERTa), improving user satisfaction metrics (USM) by 25% during pilot testing.



Flight Ticket price predection ( Six Months)


Performed extensive data preprocessing, feature engineering, and outlier handling, incorporating temporal features (seasonality, holidays, weekdays), route-specific factors, and demand-supply indicators to boost model performance by 28%

Accurate Price Forecasting: We have Trained ML models on flight data (distance, stops, duration) to predict prices with 85-90% accuracy via regression techniques.

Feature-Driven Insights: We Analyzed key patterns like journey time and stops using EDA, enabling reliable predictions on real-world datasets.

Scalable Model Performance: We Applied Random Forest/XG Boost for robust handling of variables, reducing prediction errors by 20% on test sets.

Practical Travel Optimization :We Delivered tool for users to anticipate costs, cutting booking expenses through data-driven patterns over 6 months.

  • Delivered a 22% improvement in profit margins for the simulated business scenario by enabling early-book pricing recommendations and surge-alert forecasting.


Awards & Certifications

• Innovation center of education Under AIML Certificate issued by IBM.

• Infoziant – AI/ML Intern (June 2023 – July 2023)

• Assisted in AI/ML model development and daily project tasks.

•  Performed data preprocessing, model testing, and documentation


Hobbies


• Playing chess

• Silambam

• swimming

• cooking

• spending time with family


Timeline

INTERN

Infoziant
06.2023 - 07.2023

B TECH - AIML

KALASALINGAM UNIVERSITY

12 th grade -

Narayana Jr College

Matriculation -

St Joseph's English Medium School
PRASANNA KUMAR PHANIDARAPU