Jayesh Dhawase (SSE I)

Superset: Team size- 11, Role- Team member

• Contributed to this open source project which is built with Flask and React and MySQL.
• Users raised functional bugs over GitHub, we as a team managed this queries.
• Contributed to solved 3 reported bugs over GitHub and resolved them.
• Tech stack: Python, Flask, React, MySQL, ChartJs, Docker, GitHub Actions.

Resume Processor Application: Team size- 5, Role- Team member

• Contributed to this internal project where we were trying to automate resume screening process for our HR department.
• This application is able to scan given set of PDF files of resumes and identify suitable candidates for given job description. Also user can interact with application to look for something particular, like asking application questions to more suitable candidates.
• Contributed to this applications functionality of screening resumes based on job description with Pinecone metadata filtering, which helped to reduce time of analyzing all files.
• Also came up with LLAMAIndex for getting better information from PDF for given Job Description.
• Tech stack: Python, Langchain, LLAMAIndex, OpenAI, Pinecone.

WebBan team (New features development): Team size- 5, Role-Team Lead

• This is a Financial Advisory Tool which is built with Django, Angular js, and MySQL.
• This application provides financial planning for users based on their financial data.
• Responsible for creating Low Level Design for adding new requirements in application, which helped developers to understand given problem statements which helped in reducing development time.
• Responsible for creating back log, taking sprint planning, delegating tasks, taking scrums, solving developers doubts, code review, taking sprint retrospective and presenting sprint report to stakeholders.
• Contributed in scaling application. Created slaves and master copies of production database for write and read to reduce and divert traffic over databases, used caching method to reduce server process time by adding Redis, created S3 bucket to store all users files like images, PDF docs, etc. to support horizontal scaling. Used AWS load balancers for scaling purpose.
• Able to achieve quarterly targets, created scalable application.
• Tech stack/Tools : Python, Django, Angular js, MySQL, AWS, Redis, JIRA, Lucidchart.

Kanban team (Live tickets for bugs & issues in the product): Team size- 4, Role- Team Lead

• As Application has a functionality for users to raise tickets for any issues they face so we have a dedicated team to solve this issues.
• Responsible for analyzing tickets, setting priority, delegating to team members, code review and keep track of tickets till it closes.
• Responsible for solving high priority tickets, optimizing code.
• Achieved target to resolve all bugs in the quarter.
• Tech stack: Python, Django, Angular js, MySQL, Celery.

Fintoo: Team Size- 5, Role- Team member

• This application provides financial advisory to users based on their financial details.
• Contributed for creating this application from scratch.
• Contributed in setting up project structure with Django and Angular js.
• Created RESTAPIs using django and integrated with Angular js.
• Created PDFs of invoices and other documents using PyPDF2.
• Integrated PayU with application.
• Tech stack: Python, Django, Angular js, MySQL, PyPDF2.

Face Recognition System: Team size- 3, Role- Team member

• This application is able to mark employees attendance by recognizing facial structure.
• Contributed for reducing face recognition process by optimizing code, created compressed matrix to perform matching images.
• Contributed in created desktop application with electron js for users.
• Tech stack: Python, OpenCV, Raspberry pi, electron js, MySQL.
  

Procurement Management System: Team size- 11, Role- Team member

• This application is able manage clients procurement services.
• Contributed in creating invoice templates, invoices, created billing statements.
• Tech stack: Python, Frappe, MySQL.

Fitbit heart monitoring: Team size- 3, Role- Team member

• In this application we were trying to predict is user could get heart disease in future or not.
• Contributed in clearing data collected from fitbit APIs and filtered it with pandas and numpy as per data science teams requirement. Stored this data in mongo db server.
• Tech stack: Python, numpy, pandas, mongodb.

Web scraping: Team size- 2, Role- Team member

• In this application we tried to extract college information from given sites.
• Collected data from three websites with beautiful Soap and transferred it to excel sheets. After that removed unwanted data.
• Tech stack: Python, beautiful soap.