hi , i am
Shivani Khandelwal.

Data Scientist Software Engineer Postgraduate Researcher

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+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

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

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

Hidalgo

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.

ATI

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

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.

ApplicateAI

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

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.

Freelance

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

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

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

Project 1 Image
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.

Project 2 Image
Music Recommendation System

A personalised music recommendation system using collaborative and content-based filtering techniques and million song dataset.

Project 3 Image
Face Recognition

Performed age and gender classification, face blurring, makeup application, and facial emotion detection on images and videos.

Project 4 Image
Phone Lifting Gesture Recognition

Created a prototype for recognising phone lifting gestures to enhance security using human-device interaction patterns.

Project 5 Image
Intelligent Door Unlocking System

A hardware-based door unlocking system integrating distance sensing, RFID, and IR remote functionality with emergency overrides.

Project 6 Image
Image Captioning

An image captioning system using an encoder-decoder architecture, generating descriptive captions for images with 85% accuracy.

Project 7 Image
Exploratory Data Analysis

Conducted EDA and hypothesis testing on PUBG game data to derive insights into player behaviour and performance.

Project 8 Image
Video Summarisation

A video summarisation tool using deep learning to extract meaningful content from lengthy videos based on human activity.

Contact me

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Phone

+44 7733586879 / +91 9399518274

Email

shivanikhandelwal487@gmail.com

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