Aditi Joshi | Software Developer

Hi, I'm Aditi Joshi.

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Self-driven, quick starter, passionate programmer with a curious mind who enjoys solving a complex and challenging real-world problems.

An undergraduate student from Pune Institute of Computer Technology with a Bachelor's degree in Computer Engineering. Currently a Masters student at Arizona State University in Computer Science

Having started coding at an early age and also having completed my Bachelor’s, I can say my interest in this field has only grown with time. I gravitate more towards Data Analysis, Data Engineering and Software Development domains. Working in the technology sector of Publicis Sapient has helped me gain relevant experience in the industry. As businesses today are becoming more inextricably linked with information technology, I strive to utilize my expertise to bridge the gap between technology and business.

My key interest lies solely in sharing my technical expertise with people. I thoroughly enjoy tackling problems pertaining to technology and coming up with novel ideas.

About

I am a Computer Science Graduate Student at Arizona State University. I enjoy problem-solving and coding. Always strive to bring 100% to the work I do.

My expertise lies in Data Engineering, DevOps and Site reliability engineering, and I have a deep understanding of Python, GCP tools, Backend Development that are widely used in the industry. I have worked on various projects throughout my career, ranging from developing software applications to designing and implementing complex applications that solve real-world problems impacting millions of users.

Certifications: GCP Associate Cloud Engineer
Programming Languages: Python, Java, C++, C, Spring boot, Bash, JavaScript, NodeJS, React
Cloud Platforms and Databases: GCP, AWS, Azure, DBT, MySQL, MongoDB, ElasticSearch, PostgreSQL
Data Engineering: Airflow, Tableau, ETL, BigQuery, AppFollow, Kafka, Spark, Big data, Data warehousing, Data Analytics, Data Visualisation, Pandas, Numpy, Scipy, Tensorflow
DevOps and SRE: CI/CD, Git, Version control, Jenkins, Docker, Kubernetes, Helm Chart, Grafana, Prometheus Pushgateway, Hashicorp Consul, Hashicorp Vault
Software Engineering practices: Agile methodology, Code Refactoring, Metrics collection and Reporting, Attending SCRUM meetings and Daily Stand-ups, Estimation using story points.

I am constantly seeking opportunities to expand my knowledge and skills in the field of computer science. I am always eager to learn about new technologies and stay up-to-date with the latest industry trends. I am a highly motivated individual who is dedicated to delivering high-quality work that meets or exceeds expectations.

Experience

Palo Alto Networks

DevOps Engineer Intern

Generated the high level and internal metrics around data and metadata which are stored for customers and provided the details to the teams within Palo Alto Networks via 2 Grafana dashboards.
Python script gathered data from 5 data sources, Grafana picked up the metrics using Prometheus which stores the time series data and then display them on the newly created dashboards. Generated 25 metrics.
Deployed the script as a Kubernetes application inside a Helm Chart.
Tools: Python, Grafana, ElasticSearch, Consul, Vault, Kubernetes, Helm Chart, AWS, Jenkins, API Gateway, Prometheus, Prometheus Pushgateway

May 2022 - Aug 2022 | Santa Clara, USA

Publicis Sapient

Data Engineer

Worked on McDonald’s Japan Analytics project as a Data Engineer.
Devised five Machine Learning models to generate insights into the data and predict the customer's order preferences.
Created data ingestion pipelines to download over 25+ data files from Azure bucket, decompress the files and ingest the data in Google Cloud Platform's BigQuery.
Formulated data validation pipeline to validate the ingested data with files.
Integrated Appfollow API to get the reveiews, ratings and downloads of McDonald's Japan's mobile applications.
Incorporated Data Build Tool (DBT) and DBT docs pipeline where the transformation of data was handled.
Created CI/CD pipeline to keep the code in sync between code repository and the container folders.
Tools: Python, AppFollow, DBT, Apache Airflow, Kubernetes, GCP tools- BigQuery, DataFlow, Cloud Storage, AI platform.

Jan 2020 - July 2021 | Bangalore, India

Publicis Sapient

Big Data Engineer

Developed a test automation framework for McDonald's Customer Real-Time Data Services as a Big Data Engineer.
Designing the Architecture of Custom Functional Unit Testing Framework which uses ETL processes as well as formulated the Jenkins pipeline for batch job processing.
Writing Python Scripts for functional testing of the frameworks.
Tools: Python, Jenkins, Groovy, AWS.

Oct 2019 - Dec 2019 | Bangalore, India

Publicis Sapient

ASDE Trainee

Worked in a 5-member team on to develop a shopping website using RESTful APIs
Acted as a scrum master, hosted daily Scrum Meetings, Sprint Planning Meetings, Retrospectives and Reviews
Developed Login, Register and Deregister services for the website along with their validation
Created Jenkins pipeline for version controlling and to deploy the code.
Tools: HTML, CSS, Spring Boot, DataBases, Jenkins, Kafka, Redis

June 2019 - Oct 2019 | Bangalore, India

OpenEBS Project

Student Intern

Worked on cloud based deployment technologies like docker and Kubernetes for creation and handling of clusters along with their visualisation.

Feb 2018 - May 2018 | Pune, India

Projects

                
Drive Thru Crew Automation
                  McDonalds burgerhack hackathon
                
                Accomplishments
                Tools: NodeJS, ReactJS and MongoDB
Created the user flow for a customer when he enters the drive-thru, displaying his personalized menu based on previous orders through POS machines.

License Plate Recognition system for vehicles
                  Bachelor’s Final year project
                
AccomplishmentsTools: Python, CNN, Deep Learning
Constructed an automatic vehicle license plate identification system using CNN algorithm and character recognition that captures real time videos from CCTV footage
Helpful for the police department in Pune.

WebApp for Textile Industry
                  Smart India Hackathon Project
                
AccomplishmentsTools: HTML, CSS, Bootstrap, NodeJS, ExpressJS and MongoDB.
Secured 2nd place all over India at Smart India Hackathon.
Developed a marketing portal for Ministry of Textiles using MERN stack.
The portal will be a common place for producers to market and sell their products. The consumers can check the products and then contact the sellers accordingly.

Heart Disease Prediction
                  
AccomplishmentsTools: Python, Datasets, Machine Learning
Presented 5 Machine Learning models to predict the occurrence of heart diseases in a patient.
The main objective of this project is to build a model that can predict the heart disease occurrence, based on a combination of features (risk factors) describing the disease.

Meeting Room Booking System
                  DBMS project
                
                Accomplishments
                Tools: PHP, HTML, CSS, JavaScript, XML
Meeting Room Booking System is a WebApp. It contains list of various rooms from different locations which can be used for booking. The web site contains of various pages and options for booking.

Smart Car Parking System
                  IOT project
                
                Accomplishments
                Tools: Python, Arduino Uno
Smart Car Parking System: an IoT based project. The parking space is displayed whether it available or not by using sensors and display it on the Administrator’s PC connected via Cloud.

Airport Management System
                  DBMS project
                
                Accomplishments
                Tools: Java, JDBC, MySQL
Airport Management System: which stores the database of the flights, passengers, feature of booking a ticket and display the registered users information.