Hi, I’m
Ankita Shelke
About Me
Get in touch with me
I am a data science professional with expertise in machine learning, generative AI, and time-series analysis. My work spans across research, development, and deployment of advanced AI systems, integrating LLMs, RAG frameworks, and predictive models. I thrive in applying data-driven insights to solve complex real-world challenges across academic, business, and research domains.
Vision
To innovate AI systems that empower industries with actionable intelligence and automation.
Mission
To bridge the gap between advanced AI research and practical business solutions through scalable, ethical, and reliable ML models.
My Skills
Programming & Data Tools
Python, R, SQL, Jupyter, Colab, GitHub
Frameworks & Libraries
PyTorch, TensorFlow, LangChain, LangGraph, Hugging Face, Pandas, NumPy
GenAI & LLM Systems
Prompt engineering, RAG, Retrieval systems, LLM fine-tuning
Cloud & MLOps
AWS, Docker, Streamlit, ECS, ECR, Fargate, CI/CD pipelines
Visualization & Reporting
Power BI dashboards, data aggregation, analytics reporting
Research & Statistics
ARIMA, Time-series forecasting, Statistical modeling, Data wrangling
Tata Consultancy Services
Systems Engineer
Mar 2015 – Aug 2019
Maxgen Technology Pvt. Ltd.
Junior Python Developer
Oct 2019 – May 2020
Roughnext REI (OPC) Pvt. Ltd.
Intern Developer
Jul 2021 – Dec 2021
Thompson Rivers University
Teaching Assistant
Jan 2023 – Apr 2024
Thompson Rivers University
Graduate Research Assistant
Jan 2023 – Sep 2024
Thompson Rivers University
Research Assistant I – Science
Oct 2024 – Dec 2024
My Experiences
Professional Experience
Recent Projects
Sales Performance Analysis of Amazon
Data Analysis Project
Mar 2024 – May 2024
Designed Excel dashboard analyzing 9,000+ transactions, offering insights into regional sales and product categories.
KidSciBot – Intelligent Science Tutor for Kids
AI/ML Project
Oct 2024 – Dec 2024
Built question classification chatbot using LangGraph, RAG, APIs, and embeddings, improving science learning for children.
Optimising Canada’s Inflation: Time-Series and ML Models
Research Project
Jan 2023 – Sep 2024
Developed ARIMA, neural networks, and ensemble forecasting models, enhancing predictive accuracy by 29% for macroeconomic datasets.