Shivani Natani
Bangalore,Karnataka
Summary
As an NLP and MLOps professional, I specialize in developing and deploying scalable ML models for natural language applications. With expertise in data preprocessing, model training, and production deployment, I focus on improving model performance and operational e ciency. Passionate about bridging data science and software engineering, I aim to create robust, intelligent systems.
Overview
4
4
years of professional experience
1
1
year of post-secondary education
Work History
Senior Consultant
upGrad- AIML & DS
Bangalore
12.2022 - Current
- (1Yr 9 Months+)
- Collaborated with data science teams to provide career advice in ML and AI fields
- Developed training programs focused on MLOps best practices
- Personalized Career Guidance: Conduct one-on-one sessions to provide tailored career advice
- Communication Excellence: Clearly articulate complex concepts and career strategies.
Business Development Associate
Byju's
Bangalore
11.2021 - 08.2022
- Leveraged data analytics to identify potential markets and improve business strategies
- Implemented machine learning models to predict customer behavior and enhance sales strategies
- Developed new business opportunities by cultivating relationships with potential customers.
Call Center Executive
12.2020 - 02.2021
- (3 Months)
- Addressed customer inquiries and managed requests for returns, exchanges, refunds, and complaints
- Supported business initiatives by growth and campaign marketing of current promotions and new products
- INTERNSHIPS
- Liases Foras, AI Intern : Focused on Language translation and
- Geocoding where we have used NLP and LLM that was in NLLB from
- META
- PROJECTS
- Sentiment Analysis on Amazon Reviews :- Utilized Python and NLTKfor preprocessing and analyzing review data.Implemented machine learning algorithms to classify sentiment and achieved 90% accuracy
- (link)
- Zomato Chatbot with RASA :- Integrated the chatbot with
- Zomato's API to provide real-time restaurant recommendations.Used Docker for containerization and
- Kubernetes for deploying the chatbot on a cloud .(link)
- Implemented MedSpacy for Feature Extraction :- Automated the extraction of clinical features from medical texts, improving processing speed by 30%.Implemented CI/CD pipelines using Jenkins to streamline the deployment process
- Bike Sharing Demand Prediction :- Build a multiple linear regression model to predict the demand for sharing bikes using various features (link)
- News Research Tool :- Developed a custom text-splitting algorithm in Python to handle large textual data by e ciently chunking it based on content structure, ensuring consistent segment sizes and minimizing loss of context in smaller chunks
- Used this technique for optimizing the processing and retrieval of information in text-heavy applications(Link)
- ACHIEVEMENTS
- Successfully deployed multiple machine learning models in production environments
- Conducted workshops and training sessions on MLOps best practices
- Recognized for excellent customer service and communication skills.
Associate Supervisor
Forever Living Products
Indore
02.2021 - 10.2021
- Resolved customer complaints within deadlines
- I was involved in chain marketing and guided a team of 6.
Education
Master of Science - ML & AI
LJMU
Liverpool John Moores University, U.K 02.2024 - 07.2025
PGD - ML & AI
IIIT
Bangalore Mar 2025
PGDM - IT & Analytics
BIMTECH
June 2017
B.Sc - Biotechnology
AMITY UNIVERSITY
Sep 2020
Skills
TECHNICAL SKILLS
- Data Science/ML/AI Concepts: Linear/
- Logistic Reg,Clustering, PCA, Model
- Selection, Decision Tree
- Deep Learning Frameworks:
- CNN,RNN,Tensorflow, Keras, Pytorch
- HuggingFace, OpenCV
- NLP Frameworks: Lexical, Syntactic
- Semantic,Spacy, Word2Vec, etc
- Generative AI Concepts: LLM (Large
- Language Models),RAG(Retrieval
- Augmented Generation)
- MLOps Frameworks: MLFlow,AirFlow
- Cloud Services: AWS,Azure
- AWS ML Stack: Sagemaker Studio
- Languages: Python
- Data Science/ML/AI Utilities Used:
- PyCharm, Visual Studio Code/Editor
- Jupyter Notebook, Google Colab, Kaggle
- Notebooks, AWS Sagemaker
- OS Worked on:
- Mac, Windows, Linux
- INTERPERSONAL SKILLS
- Business Communications
- Collaboration across teams
- Empathy
- Decision trees
- Active Listening
- Adaptability
- Teamwork
- Conflict Resolution
- Critical Thinking
- TECHNICAL SKILLS
- Docker Containers
- Model Evaluation Metrics
- Natural Language Processing
- Data Preprocessing
- Reinforcement Learning
- API Development
- Scikit-Learn
- Python Programming
- Git Version Control
- Deep Learning Algorithms
- Machine Learning Frameworks
- Neural Networks
- Feature Engineering
- API Integration
- Linux Environment
- NLP
- Deep Learning
- Machine Learning Integration
- Statistical modeling
- Model Development
- Attention to Detail
- Interpersonal Skills
- Data repositories
- Adaptability and Flexibility
- Task Prioritization
- Problem-solving abilities
- Algorithm development
Additional Information
INTERNSHIPS
Liases Foras, AI Intern : Focused on Language translation and
Geocoding where we have used NLP and LLM that was in NLLB from
META.
PROJECTS
● Sentiment Analysis on Amazon Reviews :- Utilized Python
and NLTKfor preprocessing and analyzing review
data.Implemented machine learning algorithms to classify
sentiment and achieved 90% accuracy. (link)
● Zomato Chatbot with RASA :- Integrated the chatbot with
Zomato's API to provide real-time restaurant
recommendations.Used Docker for containerization and
Kubernetes for deploying the chatbot on a cloud .
● Implemented MedSpacy for Feature Extraction :- Automated
the extraction of clinical features from medical texts,
improving processing speed by 30%.Implemented CI/CD
pipelines using Jenkins to streamline the deployment process.
● Bike Sharing Demand Prediction :- Build a multiple linear
regression model to predict the demand for sharing bikes
using various features.
● News Research Tool :- Developed a custom text-splitting
algorithm in Python to handle large textual data by eciently
chunking it based on content structure, ensuring consistent
segment sizes and minimizing loss of context in smaller
chunks. Used this technique for optimizing the processing
and retrieval of information in text-heavy applications.
ACHIEVEMENTS
● Successfully deployed multiple machine learning models in
production environments.
● Conducted workshops and training sessions on MLOps best
practices.
● Recognized for excellent customer service and communication
skills
Timeline
Master of Science - ML & AI
LJMU
02.2024 - 07.2025
Senior Consultant
upGrad- AIML & DS
12.2022 - Current
Business Development Associate
Byju's
11.2021 - 08.2022
Associate Supervisor
Forever Living Products
02.2021 - 10.2021
Call Center Executive
12.2020 - 02.2021
PGD - ML & AI
IIIT
PGDM - IT & Analytics
BIMTECH
B.Sc - Biotechnology
AMITY UNIVERSITY
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