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.

Python
Python
Scikit-learn
Scikit-learn
TensorFlow
TensorFlow
PyTorch
PyTorch
JavaScript
JavaScript
React
React
Google Cloud
GCP
Docker
Docker
Kafka
Kafka
MySQL
MySQL
MongoDB
MongoDB
MATLAB
MATLAB
Flask
Flask
Seaborn
Seaborn
Pandas
Pandas

Publications

Selected research papers and book chapters published in peer-reviewed conferences and journals.

Investigating the Transformative Impact of Generative AI on Academic Integrity

Published in IEEE CACCT-2024

Neighbors Online (NoL): An Approach to Balance Skewed Datasets

Published in Springer ICIMMI-2019

Performance Evaluation of Machine Learning Algorithms for Credit Card Fraud Detection

Published in IEEE Confluence-2019

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 GitHub
Anomaly Detection in Text Data

Built a solution for detecting anomalies in unstructured text data using machine learning techniques.

Tools: R, ML Algorithms

View on GitHub
Exploring 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 GitHub
Airbnb 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 GitHub
Titanic 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 GitHub
Analyzing Migration Trends in Canada

Explored interprovincial migration patterns in Canada using historical census and weather data.

Tools: Jupyter Notebook, Python

View on GitHub
Signature Detection Analysis

Implemented image-based signature authentication using neural networks and OpenCV.

Tools: TensorFlow, OpenCV, Python

View on GitHub
Fine-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 GitHub

Recommendations

What my colleagues say about working with me

I have worked with Shivani on multiple data science projects. The zeal and enthusiasm that she has for problem solving gives her a never give up attitude. She knows how to torture the data enough to get the story out. As a data science practitioner she earns my highest recommendation.

Nitika Kamboj

Nitika Kamboj

Applied Scientist II, Junglee Games

Shivani is the ideal teammate and partner. She is constantly searching for improvements, proactively working on action items, and consistently over-delivering on every task. Her analytic and problem-solving capabilities are extremely strong and a person I always relish working with. She earns my highest recommendation.

Samar Srivastava

Samar Srivastava

Full-Stack Data Scientist (NLP & ML)

Contact

Feel free to reach out for collaborations, professional inquiries, or just to connect!