Name: Sakshi
Profile: Software Developer
Email: srvsakshi03@gmail.com
Phone: 3153851203
Skill
Frontend Developer 85%About me
I'm focused, thorough, detail-oriented, and very open to feedback. worked closely with PM, dev, experimentation, and finance partners to align on product metrics definition, test design and planned all deep-dive analysis that would be subsequently needed to excel any given project. Currently, I'm graduate student at University of texas-Arlington (Jan-2022 to Dec-2023) majoring in Computer Science.
• Languages: Python, Java, HTML, CSS, JavaScript
• Database Management Systems: DynamoDB, MySQL, Oracle, IBM DB2
• Frameworks: Adobe Cold fusion, NodeJS, Flask. Jinja, JQuery, XmlRPC, Spark
• Technologies: AWS (S3, Lambda, ECS, SageMaker), Azure (Databricks, Data Lake), VIM, Git SCM, Tortoise SVN Tools: (OS: Linux, MacOS, Windows), JIRA, Quality Center, Teradata SQL Assistant, CDOPT, Prism
• Machine Learning Tools: Scikit-learn, Pandas, Keras, Numpy
• Certifications: Microsoft Azure Fundamentals (AZ-900)
Work Experience
I have 4 years of experience developing software and managing teams
Azure Datalake Developer-Amdocs
• Lead on prem data migration to Microsoft Azure Data Lake by performing ETL (extract/transform/load) jobs
• Delivered multiple projects with required proficiency in Apache Spark architecture with databricks.
• Experienced with MapReduce, Azure Data Bricks, Azure Data Factory
Application Project Manager-Amdocs
• Managed project teams throughout the full delivery lifecycle: business strategy, requirement analysis, design, build and testing.
• Published production release status reports to external clients while working closely with AT&T release management.
• Responsible for successful delivery of projects to plan, budget and costing.
• Worked in both Waterfall and Agile delivery projects.
Application Developer-IBM
• Participated and analyzed high level design documents and prototypes
• Working on MPI reports, writing one time setup scripts in oracle for various DW screen
• Provided code review feedback in web application code base and resolves issues in a timely manner
• Led knowledge transfers and onboarding meetings for new members
• Supported business partners in unit, integration, and system testing
• Attended daily standups with US 1rst line manager and onshore team on daily basis
Projects
I mentered her In Datawarehouse team and she does all her task/projects with 100% dedication. The combination of her educational and professional experiences have prepared her to go beyond the role of intellectual contributor to that of an intellectual change agent. She is "new thinker" and one with limitless potential.
I worked with Sakshi on VPMO Enhancements where she showcased invent and worked day and night in understanding REXX-Mainframe and migrate all its functionality to COLDFUSION web screens
Also, in the process she solved several post release sev1, sev2 tickets easily within 1 day.
Blog
Titanic - Machine Learning from Disaster
Used Jupyter Notebook
Kaggle Competition Score: 0.78468 kaggle Rank=1976/14244 CSE 5334 DataMining Titanic Term Project More on: BlogPost
CNN naive Bayes Image Classifier with HyperParamenter tuning
Used Google Colab
Image Classification is one of the most widely used algorithms where we see the application of Artificial Intelligence. In this article, we will learn how to use a convolutional neural network to build an ImageClassifiers that helps recognize Images. We will use Keras with TensorFlow to train our ML models to identify Airplanes, Motorbikes & Schooners from Kaggle datasets.
More on: BlogPost
Performance Measure of CNN naive Bayes Image Classifier with other sklearn models like CNNwithTL(VGG-16)/CNNwitoutTL/ANN/KNN/DT
Used Google Colab
VGG16 is a type of CNN (Convolutional Neural Network) that is considered to be one of the best computer vision models to date. I have compared performance of various neural network algorithms like ANN, KNN, CNN,SVM, DT. Among them CVN with VGG-16 showed a significant improvement.
More on: BlogPost
More on: MiniClip(~1min)