Timeline
Vellore Insitute of Technology, Vellore Campus
Studiying Computer Science and Engineering with a Cumilative Grade Point Average of 8.5
Analyst Intern - HSBC
• Developing a secure and efficient internal tool for deploying large language models (LLMs) locally, initially supporting my team with potential expansion across teams in the FinOps Dept.• Employing Django, Python, and VBA across Discovery, Design, Build, UAT, and Production Deployment phases to build tools that automate manually repetitive tasks and streamline workflows, enhancing productivity for our internal users.• Developing a Project Consolidation and Analysis Tool in Django to serve all internal users and integrate all 90+ previously delivered projects in Python into a single application, enabling our internal users to avoid loading different Python applications for distinct tasks.
Research Intern - National University of Singapore
• Leveraged remote sensing data to assess water quality across large areas, employing established indices like NDWI (water content) and NDTI (turbidity) to extract information over a time period.• Analysed the temporal relationships between these indices using time series data and Implemented various machine learning models (CNN+RNN, LSTM, Adaboost) to predict water quality parameters, achieving high accuracy (89.3% for RNN+CNN).
Data Science Intern - Abhyaz
• Implemented CRM analytics to segment customers based on RFM metrics, subsequently predicting net profit using Customer Lifetime Value metrics and employing the BG-NBD and Gamma models to forecast Expected Transactions and Average Profit. • Orchestrated of CRM data from multiple sources and Utilized Zoho DataPrep to cleanse and standardize CRM data.• Designed and developed Zoho dashboards that provided real-time insights into key performance indicators (KPIs).
SAP Intern - National University of Singapore
• Collaborated with a Professor and Other Students on Training and Project based on Extraction and Visualization of Anatomical Atlases involving 2D and 3D Brain Tumour Segmentation.• Analyzed and Pre-Processed 3D MRI data with 369 training and 125 testing images. Delivered enhanced diagnostics with impressive metrics including a low loss of 0.0162, a high mean IOU of 74%, and dice coefficient at 70%. • Implemented using Python Libraries like NumPy, Pandas and Matplotlib. 2D Segmentation done Using TensorFlow and Keras. 3D Segmentation done using PyTorch.
SAP Intern - Hewlett Packard Entreprise, Singapore
• Successfully designed and implemented end-to-end data pipelines using Azure Services, including Azure Data Factory, Azure Data Lake Gen 2, Azure Databricks, and Azure Synapse Analytics, for various datasets. • Leveraged PySpark in Azure Databricks for advanced Exploratory Data Analysis followed by Modelling and Evaluation on the Graduate Record Examinations Dataset, culminating in a presentation of data-driven insights and achieving an impressive 94% forecasting accuracy and 6% classification error rate. • Lectures and Mentorship from Employees at Hewlett Packard Enterprise on Big Data Analytics and Ranked 3rd among all interns in the Final Exam.
Senior Core Committee Member - VIT Linux Users Group
I actively contributed to the development of our in-house Linux distribution, Arcadia Linux, which is based on Arch Linux. In addition, I conducted informative sessions for over 100 junior members, covering fundamental topics related to Linux systems and Bash scripting.
Senior Core Committee Member - Codechef VIT
I was a crucial member of the Research Department, where I worked on projects in fields such as Quantum Computing, Deep Learning, and Data Visualization. I also played a significant role in organizing over six events, including Capture the Flag Competitions, Hackathons, and Tech Talks. Additionally, I was responsible for managing Discord servers, developing custom Discord bots, conducting Qiskit sessions, and securing sponsorships for our departments initiatives.