Shoditha Nukala

Shoditha Nukala

Project Trainee at Tata Communications

HyderabadArtificial Intelligence and Machine Learning
4roles
54skills
3education
6credentials

About

AI & ML Intern | Python • TensorFlow • NLP | Passionate about solving real-world problems with data

Experience

Project Trainee

Tata Communications

10 mos · Hyderabad, Telangana, India

Assisted in end-to-end project development through research, documentation, planning, execution, and testing. Collaborated with cross-functional members to implement project tasks, troubleshoot issues, and deliver milestones within defined timelines.

AI Intern

Swecha Telangana

3 mos · Hyderabad, Telangana, India

Contributed to open-source projects, collaborated on community-driven initiatives, and gained hands-on experience

AI Intern

Suven Consultants and Technology Pvt.Ltd.

2 mos

I worked as an Ai Internwhere I developed and tested both supervised and unsupervised machine learning models using Python, TensorFlow, and Scikit-learn. My role involved data preprocessing, feature engineering, and exploratory data analysis on large datasets to improve model accuracy. I also assisted in model evaluation, NLP tasks, and contributed to end-to-end project documentation, ensuring smooth workflow and clear communication across the team.

Software Intern

Suven Consultants

February 2025 – March 2025 · Hyderabad

Preprocessed and transformed large datasets, performing feature engineering and text analysis using NLTK, spaCy, and NumPy. Developed and optimized machine learning algorithms using Python, Scikit-learn, TensorFlow, and Pandas for classification and prediction tasks.

Education

Malla Reddy Institute of Technology and Science, Hyderabad

Bachelor of Technology, Artificial Intelligence and Machine Learning

2022 – 2026

CGPA: 7.8/10

Sri Gayathri Junior College, Hyderabad

Intermediate, MPC

2020 – 2022

CGPA: 8.9/10

St Anns High School, Armoor

High School

2020

CGPA: 9.5/10

Skills

C++C (Programming Language)JavaJavaScriptPython (Programming Language)LiveChat ChatBotBlockchainHugging Face ProductsData VisualizationObject-Oriented Programming (OOP)Data AnalysisProject ManagementSoftware Project ManagementProject CoordinationChatbot DevelopmentChatbot DesignChatbotGen aiOllamaIllamaPythonSQLRCFlaskTensorFlowScikit-learnPandasNumPyMatplotlibSeabornMachine LearningDeep LearningNatural Language ProcessingLarge Language Models (LLMs)Data AnalyticsInternet of Things (IoT)Big Data5G NetworksREST APIsModel DeploymentMLOpsAWS (EC2, S3, RDS, IAM)Google Cloud Platform (GCP)DockerKubernetesPower BITableauMicrosoft ExcelGitJupyter NotebookVS CodeNLTKspaCy

Projects

Lost Word Finder

Applied NLP techniques including tokenization, lemmatization, and TF-IDF using NLTK and spaCy for text preprocessing and analysis. Designed a practical tool to aid word retrieval in language-based applications.

Detecting Stress Based on Social Interactions in Social Networks

Conducted data collection and preprocessing, including text normalization, feature extraction, and noise reduction using Python, Pandas, and NLP libraries. Used Matplotlib and Seaborn to visualize features and trends in emotional and interaction-based data.

5G-Smart Diabetes Towards Personalized Diabetes Diagnosis with Healthcare Big Data Clouds

Enabled real-time, low-latency transmission of patient health data from medical devices to cloud platforms for continuous and personalized diabetes monitoring. Utilized cloud infrastructure to store, process, and manage large-scale healthcare datasets securely.