hi , i am
Shivani Khandelwal.
Data Scientist Software Engineer Postgraduate Researcher
Download Resume
+44 7733586879 / +91 9399518274
shivanikhandelwal487@gmail.com
I am Shivani Khandelwal, a Data Scientist with a Master's by
Research degree in Computational Science and Artificial
Intelligence from Coventry University, UK. My work focuses on
leveraging AI to solve real-world challenges.
My journey began with a Bachelor's degree in Computer Science
from ITM University, Gwalior, India and a dream of studying
master's in AI abroad. Starting from scratch, I am proud to have
earned the prestigious fully-funded British Council Women in
STEM Scholarship for my master's in the UK, which has helped me
advance my knowledge and skills in this field. Throughout my
journey, I gained valuable experience working in various
industries and collaborating on multiple projects.
I love creating and sharing content on technical topics,
personal experiences, and career journeys on social media. I
also enjoy engaging with new people through networking events.
Feel free to connect with me for any collaborations or
discussions on how AI can improve lives and address global
challenges.
Education
Coventry University, UK
Master's by Research in Computational Science & AI
Sep 2023 - Sep 2024
Research Focus: Optimising Heating and Cooling Control Systems using Data-driven Methods and Reinforcement Learning.
Director: Prof. James Brusey
ITM University, India
Bachelor of Technology in Computer Science
Aug 2018 - Jun 2022
Relevant Subjects: Python, Data Science, Machine Learning, Deep Learning, Data Structures & Algorithms, Engineering Mathematics (I, II, III, IV), Operating System, DBMS, AI, Web and App Development.
Experience
Coventry University & Hidalgo Ltd
KTP Associate
Mar 2024 - Jun 2024
Coventry, UK
- Developed predictive models with Kalman Filters to forecast core body temperature, achieving a 15% accuracy improvement.
- Implemented a Linear Regression model for enhanced generalisability, created a dashboard for experiment management, results visualisation and ensured code quality with PyTest.
Tech Stack: Python, Time series, LaTeX, GitHub, Machine learning.
The Alan Turing Institute
Data Study Group Participant
May 2024
London, UK
- Developed a Trust Index for News Publishers by using clustering techniques and conducting extensive EDA on a real-world problem statement provided by Kunato Company.
Tech Stack: Python, LaTeX, GitHub, Data Science.
Final Report
Verloop.io
Implementation Engineer
Oct 2022 - Sep 2023
Bangalore, India
- Developed interactive chatbots using NLP and Flask, enhancing engagement for diverse business clients.
- Optimised chatbot performance using NLP techniques like sentiment analysis and deployed solutions on Google Cloud.
Tech Stack: Python, Flask, API's, GitHub, Google Cloud, NLP.
SalesCode.AI (Previously knows as ApplicateAI)
Data Scientist
Feb 2022 - Sep 2022
Gurgaon, India
- Developed recommendation systems for targeted sales using statistical models and regression techniques, enhancing engagement and revenue.
- Designed a map-based outlet recommendation feature using KMeans and geographical data.
Tech Stack: Python, Pandas, Scikit-learn, MySQL, Git, Jenkins, AWS.
SynergyLabs Technology Pvt. Ltd
Deep Learning Intern
Aug 2021 - Oct 2021
Gurgaon, India
- Developed an abandoned object detection model for airport scenarios using image processing and OpenCV.
- Built a smoke and fog classifier using MobileNet on a synthetic image dataset, achieving 98% accuracy across diverse weather conditions.
Tech Stack: Python, OpenCV, TensorFlow, Deep Learning, Web Scraping.
Fiverr
Freelancer
Feb 2021 - Mar 2022
Remote
- Worked on various projects in Python, Data Science, and Machine Learning.
- Assisted students and professionals transitioning to data science and machine learning by clarifying concepts and supporting project development.
Tech Stack: Python, DS, ML, Web Scrapping, CV.
Profile & Reviews
Innomatics Research labs
Data Science Intern
Apr 2021 - Jun 2021
Remote
- Developed a music recommendation system utilizing machine learning techniques on the Million Song Dataset.
Tech Stack: Python, DS, ML, Statistics, Probability.
ProxMaq
Open-Source Developer
Nov 2020 - May 2021
Remote
- Implemented a Currency Detection system for vision-impaired people and image-to-text conversion algorithms to integrate with the system.
Tech Stack: Python, ML, CV, Deep Learning.
Skills
Programming Languages
Python, Java, SQL
Data Science & ML
Libraries: Numpy, Pandas, Matplotlib, Seaborn, Plotly, Scikit-learn
Regression, Classification, Clustering, Reinforcement Learning, Time-series
Deep Learning
ANN, CNN, RNN, LSTM
Frameworks: TensorFlow, PyTorch
Web Development
HTML, CSS, JavaScript
Frameworks: Flask, Django
Database & Cloud
MySQL, MongoDB, AWS, Google Cloud
Tools and Software
GitHub, Jenkins, Docker, Weights & Biases, Jupyter, VsCode
Projects
Control System Using Reinforcement Learning
A reinforcement learning-based optimised control system for smart heating and cooling systems to reduce energy consumption and cost in a data-driven simulation environment.
Music Recommendation System
A personalised music recommendation system using collaborative and content-based filtering techniques and million song dataset.
Face Recognition
Performed age and gender classification, face blurring, makeup application, and facial emotion detection on images and videos.
Phone Lifting Gesture Recognition
Created a prototype for recognising phone lifting gestures to enhance security using human-device interaction patterns.
Intelligent Door Unlocking System
A hardware-based door unlocking system integrating distance sensing, RFID, and IR remote functionality with emergency overrides.
Image Captioning
An image captioning system using an encoder-decoder architecture, generating descriptive captions for images with 85% accuracy.
Exploratory Data Analysis
Conducted EDA and hypothesis testing on PUBG game data to derive insights into player behaviour and performance.
Video Summarisation
A video summarisation tool using deep learning to extract meaningful content from lengthy videos based on human activity.
Contact me
Phone
+44 7733586879 / +91 9399518274
shivanikhandelwal487@gmail.com