BNY Mellon

Designed and implemented Python application to analyze large financial datasets, enabling data-driven decision-making for investment strategies and risk assessment
Utilized Pandas, Numpy and Matplotlib to perform in-depth analysis, and support financial portfolio diversification that empowered the team to make data-driven investment decisions
Implemented ETL to ensure a robust and reliable data collection for financial analysis and decision-making processes
Conducted thorough code reviews, to ensure code quality, adherence to coding standards, and best practices
Implemented CI/CD practices to automate and streamline the software delivery pipeline, ensuring rapid and reliable application releases
Collaborated with cross-functional teams of data analysts, financial experts, and developers to understand their specific requirements
Integrated AWS like EC2 for hosting python applications, S3 for storing and retrieving financial data and RDS for managing relational databases that store critical financial information
Leveraged Git for version control, maintaining a well-organized codebase and enabling efficient collaboration with development teams
Leveraged JIRA to manage project workflows and timelines, allowing for Agile development practices that ensured we met project milestones efficiently

Python Developer

Medium

Sharing my experiences of projects and upcoming technologies

Technical Writer

LMU Career and Professional Development

Assisting students in reviewing resumes and cover letters
Mentoring students on applying to internships and full-time jobs
Helping students build professional profiles on LinkedIn and Handshake

Graduate Assistant - Engineering, Science And Tech

Loyola Marymount University

Graduate Assistant - ITS Classroom Support

Assisting in managing the budget of Loyola Marymount University.

Administrative Assistant

Ensured LMU is properly engaged with the industries

Graduate Teaching Assistant

Prudential Financial

Built applications and prototyped new functionality by writing high-quality, well-documented, and efficient code adhering to all applicable company’s standards, industry standards, and best coding practices
Embraced CI/CD methodology to ensure a streamlined and automated software delivery pipeline
Collaborated with product owners and tech leads to understand needs and define feature stories; worked with development team to understand the system end-to-end
Performed  unit testing, improved automation, researched problems and developed solutions to address them
Followed agile development methodologies and Test-Driven Development
Used Python to work in distributed systems, object oriented programming, designing patterns and methodologies
Worked with data in flat files, S3 and both SQL and NoSQL databases to write queries and fetch data
Implemented and maintained Infrastructure as Code (IaC) using Ansible, ensuring efficient and reproducible deployment processes across various environments
Utilized Kubernetes to deploy scale, load balance, and worked on Docker Engine, Docker HUB, Docker Images and Docker Compose for handling images for installations and domain configurations

Verzeo

Developed E-learning platform using Python frameworks as Django and integrated third-party APIs and KPIs to enhance the functionality and to assess the performance of the E-learning platform respectively
Successfully migrated the default Django’s database (SQLite) to PostgreSQL to improve the efficiency, integrity and security of data
Designed and developed templates using Django’s template library and utilized them using Django’s forms library
Utilized Flask and its MVC architecture for building E-learning platform
Used test driven approach for developing the application and implemented the unit testing using Python unit test framework
Used Bitbucket to perform basic git operations and controlled read and write access to the code

Prompt Softech

Leveraged Python for comprehensive data analysis and operational insights in the dairy industry, enabling a holistic understanding of farm performance and customer behavior
Employed Python libraries such as Pandas, NumPy, and Matplotlib for data preprocessing, visualization, and statistical analysis, uncovering key trends and patterns in dairy data
Designed and implemented data pipelines using Python to ensure seamless data flow and integration within the dairy’s infrastructure, improving data accessibility and real-time reporting
Orchestrated data processing tasks using GCP services such as Google Cloud Dataprep, Dataflow and Apache Beam, enhancing the scalability of application  
Demonstrated proficiency in SQL, enabling effective querying and management of large datasets to derive valuable insights for dairy operations
Employed version control using Git to track changes and collaborate with team members effectively

Programming Languages and Concepts : Python, Java, C++, R, OOPs, Agile methodologies, SDLC,
Unit Testing, A/B Testing, ETL, Django, MVC, Git, SVN, Flask, LINUX, Docker, Kubernetes
Web Technologies and Services : HTML5, CSS3, JavaScript, TypeScript, React, REST APIs, JSON, XML, AJAX, Bootstrap
Databases : MySQL, PostgreSQL, Neo4j, Oracle
Libraries : Pandas, NumPy, Scikit-learn, Matplotlib, Seaborn, Tensorflow, PyTorch, NLTK, SciPy
Tools and Technologies : Sublime Text, PyCharm, Spyder, Google Colab, Jupyter Notebook, VS Code, Power BI, JIRA, Kanban, Machine Learning, Deep Learning, Computer Vision, Natural Language
Processing, Apache Hadoop, Generative AI, EC2, S3, Oracle Cloud Infrastructure

Seeking new opportunities in Data Science/Analytics/SDE, let’s connect at hitarthshah10298@gmail.com

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