Shreyas
I am seeking Internship placements for Summer 2026 in Data Science, Software Engineering, Tech.
Hi, my name is
About Me
I am a penultimate-year MEng Biomedical Engineering student at Imperial College London, interested in data, mathematics, and complex systems. Machine learning and data visualisation fascinate me due to their ability to reveal structure in complexity, turning abstract information into intuition that drives real-world impact. My engineering background has trained me to extract clarity from data, reason quantitatively, and think critically about how systems behave under uncertainty.
I see technology as an analytical and creative pursuit — a way to blend mathematical precision with design thinking to build impactful systems. Whether modelling physiological signals or exploring market dynamics, I’m motivated by curiosity and the desire to understand how data can shape smarter decisions. I am currently seeking a summer 2026 internship in software engineering, data science, or quantitative research, where I can contribute to data-driven projects that make a measurable difference.
Outside of academics, I enjoy playing badminton, having previously competed at club level. I am also exploring strategic poker for its lessons in probability, decision-making, and risk management.
My Skills
Programming Languages
- Python
- Java
- MATLAB
- C#
- C
- SQL
Libraries & Packages
- Pandas
- NumPy
- Matplotlib
- Seaborn
- Tkinter
- SciPy
Development Tools
- Git/GitHub
- Figma
- Flutter
- Unity
- Microsoft Packages
- LaTeX
Machine Learning
- Statistical Modelling
- Hypothesis Testing
- Machine Learning Alogrithms
- Deep Learning Basics
Work Experience
- Improving deep learning segmentation models (nnU-Net) for organ analysis by increasing F1 score by 10%
- Performing precise image annotation, dataset cleaning of 50 CT images and training models using Python
Tasked with performing a quantitative analysis on over 160 patient bone scans to evaluate the performance of knee and hip protheses
- Programmed Python scripts using Pandas, Seaborn, and Matplotlib modules to obtain key statistics and visualise trends
- Synthesised data-driven isnights with top consultants to interpret imaging data and deliver a statistical summary report informing the department of best practices
- Sumbitted 3 abstracts which have been accepted to showcase at a foreign international conference
Work Shadowing
-
Guildford Hospital
Aug 2022
Shadowed medical consultants
- Understood how medical imaging data and radiopharmaceutical techniques are used for tumour detection and visualisation
- Gained early exposure to data-driven diagnostic workflows and image analysis methodologies
Education
Sep 2023 - Jun 2027
MEng Biomedical Engineering
Imperial College London, London
Results:
1st Class Honours in First and Second Year
Specialising in Computational Biomedical Engineering for Third Year.
- Key Modules: Programming (81%), Advaned Mathematics (80%), Electronics and Electromagnetics (86%), Fluid & Solid Mechanics (80%), Signal Processing (79%).
- Second Year Design Project: Designed and 3D printed a Smart Dumbbell for elbow rehabilitation with embedded sensors, providing real-time data tracking and analytics through a custom Unity-based app with gamified features.
- Active member of Programming, Algorithmic Trading, Finance, Computationl Biology, Neurotech ,and Bioengineering Society
Sep 2021 - Aug 2023
A-Level
Royal Grammar School, High Wycombe
Results:
A*, A, A
- Achieved A*, A, A in Mathematics, Further Mathematics, and Physics.
- Extended Project Qualification (EPQ): Using Nanotechnology in Drug Delivery
- Awards: Duke of Edinburgh Silver
- Roles: Maths Ambassador & Mentor, UK Space Design Competition Top Participant
- Clubs: Participated in Greenpower Racing, working in a team to build an electric car to race against other schools at national racetracks.
Sep 2019 - Aug 2021
GCSEs
Royal Grammar School, High Wycombe
Results:
4x 9s, 6x 8s, 1x 7
Studied Mathematics, English Language and Literature, Physics, Chemistry, Biology, Computer Science, Geography, History, French, Further Mathematics
Projects
Flutter
Firebase
SQL
Figma
Mobile App
Part of the Amazon University Engagement Programme.
Collaborated in a team to design a meal-planning mobile app aimed at students to alleivate the pressure of meal-prep and minimise food waste, while still being tasty.
Made a way for users to import videos from Instagram and YouTube.
Python
NumPy
Matplotlib
Tkinter
Fractal Generator
Programmed a fractial visualisation algorithm (Mandelbrot, Julia, and Newton Sets) in Python using vectorisation to accelerate computation by 10 times.
Also implemented a UI for interactive parameter control.
Python
Pandas
Matplotlib
Seaborn
Data Analysis
Conducted data cleaning, statistical modelling, and visualisation on real-world datasets (WHO, National Parks Service). Identified correlations between trends and presented data in a digestible format.
Python
File Handling
PNG File Parsing
Made a tool to handle PNG files, reading the header chunks to get information about the file, and reading the data chunks to output the colour value of each pixel. Also a functionality to save a singular colour channel from the image.
Java
Data Visualisation
OOP
Swing
Cell Growth modelling
Developed a Cell Growth Model, applying my knowledge of Mathematical Mdoelling, Object Oriented Programming, Bioinformatics and Data Visualisation.
Python
Data Visualisation
Time Series Analysis
OOP
Pandas
Statsmodels
Matplotlib
Machine Learning
Stock Forecasting
Developed an object-oriented Python application for financial time series analysis, via implementing statistical tests (like ADFuller) to assist in forecasting stock prices. I managed to achieve a low SMAPE of around 1.5% when forecasting with ARIMA models. The application is also customisable, allowing for analysis of different stocks and in different time frames. This was achieved using pakcages like Statsmodels, Pandas and Matplotlib.
Achievements
Published 3 Posters
Published 3 posters performing a data analysis on Bone Scintigraphy at The 14th World Congress of the World Federation of Nuclear Medicine and Biology (WFNMB) in collaboration with doctors from the Nuclear Medicine department of St Bartholomew's Hospital.
Contact
I’m always open to discussing new opportunities, collaborations, or new connections. Feel free to reach out!