Data Science Intern
CodSoft
01.2026
Hi, I’m
V Sree Kirthana
Software Engineer
Hyderabad,Telangana
Summary
Results-driven Machine Learning and Data Science practitioner with hands-on experience building end-to-end ML pipelines, NLP models, and AI agents. Proven record of delivering 94-98% model accuracy across classification and prediction tasks using Python, TensorFlow, scikit-learn, and transformer architectures (DistilBERT, Llama 3.1). Skilled in data preprocessing, feature engineering, hyperparameter tuning, and statistical analysis on real-world datasets. Seeking a full-time role in Machine Learning, Data Science, or Software Engineering where I can ship measurable impact through data-driven solutions.
Work History
Cognifyz TechnologiesHyderabad
Machine Learning Intern
09.2025 - 11.2025
Job overview
- Engineered a multi-model NLP classifier on a 24K-record Hate Speech corpus, benchmarking Logistic Regression, Linear SVM, and DistilBERT to identify the optimal architecture for production.
- Improved baseline F1 by +12 points through TF-IDF feature engineering, class-weight balancing, and grid-search hyperparameter tuning, reaching 94% accuracy on the held-out test set.
- Designed reusable preprocessing pipeline (tokenization, lemmatization, stop-word filtering) reducing inference latency by 35% versus the unoptimized baseline.
- Built an AI agent that ingests syllabus PDFs and auto-generates priority-weighted study schedules, processing 200+ pages in under 90 seconds.
- Integrated Llama 3.1 with structured prompting to extract topics, deadlines, and weightings at 96% extraction accuracy across 15 sample syllabi.
- Shipped automated email-reminder and PDF-export modules, cutting manual study-planning time by an estimated 4 hrs/week per user.
- Developed and deployed machine learning models in Python and TensorFlow for restaurant-rating prediction and cuisine classification, achieving 98% accuracy on the production validation set.
- Collaborated with a team of 5 engineers in iterative testing cycles, reducing model error rate by 22% across four sprint releases.
- Authored evaluation dashboards tracking precision, recall, and F1, accelerating model-comparison decisions by 3×.
Cognifyz TechnologiesHyderabad
Data Engineering Intern
11.2025 - 12.2025
CodSoftHyderabad
Data Science Intern
01.2026
Education
JB Institute of Engineering and Technology
Bachelor of Technology from Artificial Intelligence & Machine Learning
06.2028
St George's Grammar School
Secondary Education from Mathematics, Physics, Chemistry
04.2023
Skills
- Python
- SQL
- C
- Java
- Scikit-learn
- TensorFlow
- Logistic Regression
- SVM
- Random Forest
- DistilBERT
- Llama 31
- NLP
- Hyperparameter Tuning
- Pandas
- NumPy
- Data Preprocessing
- Feature Engineering
- Statistical Analysis
- Data Visualization
- Matplotlib
- Seaborn
- Git
- GitHub
- Jupyter
- VS Code
- Pdfplumber
- SMTP
- Prompt engineering
- Problem solving
- Team collaboration
- Communication
- Iterative testing
- Project ownership
Languages Certifications
English, Advanced (C1), French, Elementary (A2), Customer Engagement - Problem Solving & Process Control, IBM Customer Engagement - Communication & Personality Development, Outskill Mastermind - Generative AI
Projects
- Hate Speech Detection - NLP Classification System, github.com/sreekirthana123, Python, scikit-learn, DistilBERT, Logistic Regression, Linear SVM
- StudyPilot - AI Agent for Academic Planning, github.com/sreekirthana123/StudyPilot, Python, Llama 3.1, pdfplumber, SMTP, Prompt Engineering
Timeline
Data Engineering Intern
Cognifyz Technologies
11.2025 - 12.2025
Machine Learning Intern
Cognifyz Technologies
09.2025 - 11.2025
St George's Grammar School
Secondary Education from Mathematics, Physics, Chemistry
JB Institute of Engineering and Technology
Bachelor of Technology from Artificial Intelligence & Machine Learning