Intern/Industrial Placement Student at Yunex Traffic UK's R&D team based in their regional head office.- Worked on various data science, analysis and artificial intelligence projects applying the concepts of linear regression, optimisation using genetic algorithm, data visualisation and computer vision with relevant Python-based libraries like Pandas, Numpy, Scikit-Learn, Plotly and machine learning/deep learning frameworks like Tensorflow, Keras, PyTorch, OpenCV, MediaPipe with also communicating effectively to various stakeholders involved. From these projects, I have gained a plethora of skills like problem solving, task comprehension, data engineering, data preprocessing, data storytelling, analysing KPIs, working with different file formats including JSON and GraphQL for the required ETL tasks, querying with regular expression, using collaborative tools like Conceptboard, building neural network models, deploying the model, exposure to ANPR systems, RTSP for video streaming, configuring ports and firewalls for network connectivity and end-to-end cycle of product development. Also, I was part of an inter-department team based Business Impact Project, where I learnt about various transferable skills like building a strategic partnership, teamwork, time management, project co-ordination, planning, aims & goals establishment, partner relationship management, leadership, respecting every team member’s opinion and stakeholder management. - Undergone through various technical skills training on Git, Version Control, Docker, Cloud computing with AWS, GenerativeAI, Data Engineering; soft skills training including Team Dynamics, Communication, Self-Development, Emotional Intelligence and Business Influencing; domain knowledge course on Traffic Principles and a specialisation on Machine Learning Operations (MLOps).- Given multiple presentations wherein I have received positive feedback. Further, have taken part in many volunteering and STEM outreach activities.

Part-time temporary associate at the Amazon MAN8 Sort Centre during the Christmas vacation of Year-1 of my master’s degree. - Sorted and processed over 500 packages, ensuring timely delivery and got an understanding of package handling.

Remote internship program as part of a coursework during Year-3 of my bachelor's degree. - Learnt about various topics of data analytics on IoT comprising: Introduction to lot and Analytics in the context of IoT; IoT Reference architecture, IoT Data overview; IoT Use cases, IoT Data Processing; Introduction to ML and Python for ML; IoT Analytics Data Science Life Cycle; KPIs in IoT Analytics and Data Acquisition for IoT; IoT Data Cleaning, Descriptive IoT Data Analytics; Inferential Data Analytics, Predictive Data Analytics; Exploratory IoT Data Analytics; and Prescriptive Analytics- Performed exploratory data analysis on Supermarket Sales Dataset.

Online internship program to learn on using MATLAB and get an understanding on it applications for Image Processing and Machine Learning.- Week 1: Working with the MATLAB User Interface, Analysis and Visualization with Vectors, Matrices and Tables, Conditional Data Selection, Organizing and Analyzing Data, Increasing Automation with Programming Constructs and Functions.- Week 2: Image Processing Using MATLAB, Importing and Visualizing Images, Preprocessing Images, Conversions and Image histograms, Image Enhancement techniques.- Week 3: Image Segmentation, Image Morphological Operations, Edge Detection and Image Filtering, Curve Fitting of your data, Unsupervised and Supervised Learning Overview.- Week 4: Exploring data sets and visualizing decision surfaces, Classification Methods, Regression Methods, Improving Predictive models, Scope for Machine Learning.