Data Science Software Engineer

HARSHITHA MURALI

College Park, MD, USA +1-240-***-**** *******@********.***.*** linkedin.com/in/harshitha-murali EDUCATION

University of Maryland – College Park College Park, MD, USA Master of Science in Data Science Aug 2024 - Present PES University Bangalore, Karnataka, India

Bachelor of Technology, Computer Science & Engineering July 2018 - July 2022 Specialization: Machine Intelligence and Data Science SKILLS

●Languages & Databases:Python, JavaScript, TypeScript,Java, HTML, CSS, SQL, PostgreSql, MongoDB

●Frameworks & Libraries:React, SpringBoot,PyTorch,Spark, Hadoop, NLTK, Tensorflow, OpenCV, Matplotlib, Keras, NumPy, Pandas, NodeJS

●Tools & Cloud Technologies:Tableau, AWS Glue, AWSS3

●Dev Tools:Git, Docker, Kubernetes, VS code, IntelliJ,Maven, Postman, Swagger

●Other Skills:Problem Solving, Data Mining, Data Analysis, Data Structures & Algorithms, Object Oriented Programming EXPERIENCE

NatWest Group (Formerly known as the Royal Bank of Scotland)Bangalore, Karnataka, India Software Engineer July 2022 – July 2024

●Engineered and deployed the UK's biggest asset finance platform -Lombard, increasing transaction efficiencyby22%and supporting over£50 millionin secured lending transactions

● Designed and built10+reusableReact componentsfor the financial services dashboard, reducing development time for new features by40%and ensuring consistent UI/UX across multiplebanking applications

●Analyzed customer journey data usingAdobe Analytics,implementing UX improvements that drove a15%increasein conversion rates

●Identified performance bottlenecks in the application architecture and migrated25class-based componentsto functionalReactcomponents, reducing page load time by20%and decreasing serverresponse time from1.2sto0.6s

●Architected and implementedfull stacksolutions fora rental management system -Nordisk, leveragingJava,Spring Boot, PostgreSQL for backend services andReact,JavaScriptandHTMLfor the frontend, resulting in a30%improvementin data accessibility for over12 finance team members

●Created standardized intake documentation and process flow diagrams for cross-functional requests, improving project scoping accuracy by 42%and eliminating25+hours of weekly clarificationmeetings Telio R&D Pvt. Ltd.Bangalore, Karnataka, India

Research and Development Intern Feb 2022 – July 2022

●Architected an omnichannel sales platform that integrated website, SMS, and third-party vendor data streams, eliminating10+hours of manual reconciliation weekly increasing cross-channel conversion by18%

●Led the design and implementation of a centralized inventory management system usingdata modellingtechniques reducing stock-outs by 21%,decreasing excess inventory costs by$85,000annually

●LeveragedPythonandTableauto analyze sales andcustomer data, generating demand forecasts that boosted sales planning accuracy by 18% enabling more strategic inventory and resource allocation PROJECTS

Automation of Quality Inspection Processes in manufacturing industries using Computer Vision Oct 2021 – March 2022

●The project involved developing a defect detection system using the SIFT algorithm for feature extraction and matching, resulting in a 38% improvement in detection accuracy and a 45% improvement in real-time processing speed

●A comparative analysis of algorithms like ORB, SURF, and AKAZE was conducted to optimize accuracy and efficiency.

●Image pre-processing techniques such as Gaussian filtering and histogram equalization reduced false positives by 30%. Ecommerce data analysis using Big Data Nov 2019

● Engineered scalable ETL pipelines in Apache Spark to transform and analyze E-commerce data, uncovering key insights into customer purchasing patterns.

● Developed and validated machine learning models (XGBoost, RandomForest, Linear Regression & Lasso Regression) using Spark MLlib, achieving an AUC score of 0.92 to classify purchasing patterns effectively. Medical Image Segmentation using U-NET July 2020

● The project is dedicated to addressing the challenge of accurately segmenting cell nuclei within microscopic images used for various applications in biology and medical research, such as cell counting, cellular structure analysis and disease diagnosis

● Utilized TensorFlow and Keras to implement, train, and fine-tune the U-NET model on a nuclei dataset achieving an overall accuracy of 92% and an IoU score of 0.88

ACHIEVEMENTS

●Awarded the Change ready employee in 2023 for demonstrating adaptability in the Commercial and Institutional Banking department at NatWest

●Secured top 10 out of 500 teams in the Ingenious hackathon 2019

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