
Shivani Tyagi
I'm Data Scientist
About
Data Scientist with 6+ years’ experience, in the capacity of both individual contributor and team lead, seeking opportunities, with a commitment to continuous learning and delivering valuable insights for diverse use cases in the field of Natural Language Processing and Computer Vision.

Data Scientist & AI Practitioner
Passionate about building scalable AI-driven solutions and solving real-world problems through the lens of data science.
- City: Kamloops, BC, Canada
- Email: shivani.tg94@yahoo.com
- LinkedIn: shivani-tyagi-09
With a strong foundation in NLP, ML, and Computer Vision, I bring a hands-on approach to applied data science. I'm highly adaptable and thrive on driving insights from data to guide business decisions and enhance user experience.
Resume
Here is a summary of my professional experience and education in data science, NLP, and software engineering.
Experience
Teaching Assistant, Faculty of Science
Sept 2024 – Apr 2025
Thompson Rivers University, Kamloops, BC, Canada
- Delivered tutorials and labs for AI, Applied Data Science Project I, Intro to Programming, Applied Data with Python, and Database Systems I.
Full-Stack Data Scientist
Apr 2022 – July 2024
Wise-step Inc., Hyderabad, India
Tech Stack: Python, Flask, Elasticsearch, Kibana, NLTK, spaCy, Transformers, Regex, Airflow, AWS, LLMs
- Developed an NLP-based industry classifier with 67% macro-F1 for matching jobs and candidates.
- Built resume and job description parsers processing over 1M resumes monthly with 85% accuracy.
- Automated workflows with Airflow and created dashboards for customer success insights.
Data Scientist
Feb 2021 – Apr 2022
Uniqreate, Bengaluru, India
Tech Stack: Python, Java, Docker, Computer Vision
- Built parsing pipelines and automated document processing with Computer Vision models and bash scripts.
NLP Engineer
Sept 2019 – Feb 2021
Scanta Inc., Gurugram, India
Tech Stack: Python, Flask, Huggingface, NLTK, Sklearn, Docker, T-SQL, HTML, CSS, JS, spaCy
- Developed anomaly detection dashboards for virtual assistants.
- Built transformer-based paraphrasers and deployed NLP apps on AWS.
- Led end-to-end engineering across multiple production pipelines.
Education
Post-Graduate Diploma in Applied Data Science
Sept 2023 – May 2025
Thompson Rivers University, Kamloops, BC, Canada
- GPA: 4.09
- President, Data Science Club – Secured $10,000+ funding and NVIDIA sponsorship
- Student Caucus Member, International Student Affairs Committee (2023–2024)
Bachelor of Technology (BTech) in Computer Science Engineering
Sept 2013 – May 2017
Raj Kumar Goel Institute of Technology, India
Consulting
Data Science Consultant (Remote)
2021 – 2024
Scanta Inc., Gurugram, India
- Led ML solution planning for NLP-based client products.
NLP Expert Consultant (Remote)
2022
Accuracy via Upwork, Singapore
- Built LLM-powered QA systems for extracting insights from aircraft manuals and legal docs.
Skills
Technologies and tools I have hands-on experience with across Data Science, NLP, and Software Engineering.

Publications
Selected research papers and book chapters published in peer-reviewed conferences and journals.
Investigating the Transformative Impact of Generative AI on Academic Integrity
Neighbors Online (NoL): An Approach to Balance Skewed Datasets
Performance Evaluation of Machine Learning Algorithms for Credit Card Fraud Detection
Book Chapters
Projects
Highlighted data science and machine learning projects demonstrating practical applications and hands-on experience.
Customer Churn Prediction using ANN
Implemented an Artificial Neural Network for predicting customer churn in the banking sector using historical data.
Tools: Jupyter Notebook, TensorFlow, Keras
View on GitHubAnomaly Detection in Text Data
Built a solution for detecting anomalies in unstructured text data using machine learning techniques.
Tools: R, ML Algorithms
View on GitHubExploring Immigration Trends in Canada
Analyzed how population and weather factors influence immigrants’ choices of cities/provinces in Canada.
Tools: HTML, Data Visualization, Statistical Analysis
View on GitHubAirbnb NYC Listings Analysis
Performed data wrangling, analysis, and visualization of Airbnb NYC listings. Conducted regression and classification analysis and hypothesis testing.
Tools: Jupyter Notebook, Pandas, Matplotlib, Seaborn
View on GitHubTitanic ML Disaster Prediction
Built machine learning pipelines for survival prediction on Titanic dataset using exploratory analysis and model tuning.
Tools: Jupyter Notebook, Scikit-learn, Pandas
View on GitHubAnalyzing Migration Trends in Canada
Explored interprovincial migration patterns in Canada using historical census and weather data.
Tools: Jupyter Notebook, Python
View on GitHubSignature Detection Analysis
Implemented image-based signature authentication using neural networks and OpenCV.
Tools: TensorFlow, OpenCV, Python
View on GitHubFine-Tuning Phi-2 LLM using PEFT + QLoRA
Demonstrated task-specific fine-tuning of LLMs using PEFT and QLoRA strategies in a reproducible workshop.
Tools: HuggingFace, Transformers, QLoRA
View on GitHubRecommendations
What my colleagues say about working with me
Contact
Feel free to reach out for collaborations, professional inquiries, or just to connect!
Location
Kamloops, British Columbia, Canada