hi , i am
Shivani
Khandelwal .

Data Scientist Software Engineer Postgraduate Researcher

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I am Shivani Khandelwal, a Data Scientist currently pursuing a Master's by Research in Computational Science and Artificial Intelligence at Coventry University, UK. I am focused on using AI to solve real-world problems, especially related to climate change.

My research focuses on using Reinforcement Learning as a control method to improve the efficiency of smart heating and cooling systems, reducing energy consumption while maintaining thermal comfort. Additionally, it involves creating a data-driven simulation environment for buildings that is computationally faster and adaptable to various house types and designs.

My journey started 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.

phone

+44 7733586879

email

shivanikhandelwal487@gmail.com

Education

Coventry University

Master's in Computational Science & AI

Coventry University, UK
Sep 2023 - Present

Research Focus: Curbing Poverty through Sustainable Energy.

Director: Prof. James Brusey

ITM University

Bachelor of Technology in CS

ITM University, India
Aug 2018 - Jun 2022

Relevant Subjects: Python, Data Science, Machine Learning.

Experience

ATI

Data Study Group Participant

The Alan Turing Institute

May 2024

London, UK
  • Selected for a one-week Data Study Group Challenge.
  • Worked on a problem statement for Kunato Company, developing a Trust Index for News Publishers using clustering and extensive EDA.
  • Collaborated with Master’s, PhD, and PostDoc students to present findings and potential solutions.
Hidalgo

KTP Associate

Coventry University & Hidalgo Ltd

Mar 2024 - Jun 2024

Coventry, UK
  • Led a collaborative project between Coventry University and Hidalgo Ltd to develop predictive models for estimating heat stress.
  • Implemented Kalman Filter algorithms to improve real-time data analysis accuracy.
  • Tested various machine learning models for effectiveness and generalizability.
Verloop

Implementation Engineer

Verloop.io

Oct 2022 - Sep 2023

Bangalore, India
  • Developed and managed Python and Flask-based chatbots to enhance customer engagement.
  • Collaborated with clients to integrate business-specific APIs into chatbots.
  • Utilized NLP techniques with Google Cloud Platform to improve performance.
ApplicateAI

Data Scientist

SalesCode.AI (Previously knows as ApplicateAI)

Feb 2022 - Sep 2022

Gurgaon, India
  • Built personalized recommendation systems to enhance sales suggestions using advanced statistical models.
  • Implemented data validation and feature engineering on sales datasets, boosting engagement and sales.
  • Managed version control and automated deployments using Git and Jenkins.
SynergyLabs

Deep Learning Intern

SynergyLabs Technology Pvt. Ltd

Aug 2021 - Oct 2021

Gurgaon, India
  • Developed a model for Abandoned Object Detection using OpenCV.
  • Achieved 98% accuracy in Smoke and Fog Classification with a synthetic image dataset using MobileNet.
  • Involved in data scraping, dataset creation, and data annotation.
Freelance

Freelancer

Fiverr

Feb 2021 - Mar 2022

Remote
  • Contributed to various projects in Python, Data Science, and Machine Learning.
  • Assisting students and professionals seeking a transition to data science and machine learning by clearing their data science and machine learning doubts and concepts. Helping them in building their projects.
  • Profile & Reviews A B.
Innomatics

Data Science Intern

Innomatics Research labs

Apr 2021 - Jun 2021

Remote
  • Developed a music recommendation system utilizing machine learning techniques on the Million Song Dataset.
ProxMaq

Open-Source Developer

ProxMaq

Nov 2020 - May 2021

Remote
  • Developed a Currency Detection system utilizing Deep Learning techniques for vision-impaired people and implemented image-to-text conversion algorithms to integrate with the system.

Skills

Programming Languages

  • Python
  • Java
  • JavaScript
  • SQL

Data Science & ML

Libraries: Numpy, Pandas, Scikit-learn

Techniques: Regression, Classification, Clustering

Deep Learning

ANN, CNN, RNN, LSTM

Frameworks: TensorFlow, PyTorch

Web Development

Languages: HTML, CSS, JavaScript

Frameworks: Flask, Django

Cloud Computing

AWS, Google Cloud, Azure

Version Control

Git, GitHub, GitLab

Projects

Project 1 Image
Heating and Cooling Control System Using Reinforcement Learning

This project aims to build an effective control system for smart heating and cooling systems using Reinforcement Learning to reduce energy consumption and cost.

Project 2 Image
Music Recommendation System

This system predicts user preferences and recommends songs using various machine-learning techniques, including collaborative filtering and content-based filtering.

Project 3 Image
Face Recognition

Implemented various operations such as age and gender classification, face blurring, makeup, and facial emotion detection on images and videos.

Project 4 Image
Phone Lifting Gesture Recognition

Developed a prototype for a human-device interaction project, creating an AI-based security layer for mobile devices using unique user handling patterns.

Project 5 Image
Intelligent Door Unlocking System

This hardware-based project integrates Distance Sensing, RFID, and IR Remote features, along with emergency unlock functionality for added safety.

Project 6 Image
Image Captioning

Designed an image caption generator using an encoder-decoder architecture (CNN and RNN).

Project 7 Image
Exploratory Data Analysis

Conducted exploratory data analysis on the PUBG dataset with hypothesis testing.

Project 8 Image
Video Summarization

Created a system to summarize videos based on human activity using a Deep Learning model and OpenCV.

contact me

phone

+44 7733586879

email

shivanikhandelwal487@gmail.com

Connect with me