About
I recently earned my Master of Science in Computer Science from the University at Buffalo, The State University of New York, with a specialization in Software Engineering and Web Development.
With over five years of experience at Colgate Global Business Services Pvt. Ltd., I advanced through various roles, consistently taking on new challenges and responsibilities.
I am excited to bring this experience and my passion for continuous learning to my next role, where I can contribute to high-quality work in an environment that supports my professional growth and development.
- LinkedIn: in/pateldhavalj/
- Phone: (716) 590 9176
- City: Los Angeles, CA, USA
- Degree: Masters in Computer Science
- Email: contact@pateldhaval.me
- Work Elibility: Available
Skills
Technologies I Have Extensively Worked On!
Resume
Summary
Dhaval Patel
Results-oriented professional pursuing a Master's in Computer Science with expertise in Software Development. Over 5 years of progressive growth at Colgate Global Business Services Pvt. Ltd. Driven to excel in a workplace that values high-quality work and offers opportunities for growth and development.
- Los Angeles, CA, USA
- (716) 590 9176
- contact@pateldhaval.me
Education
MS in Computer Science and Engineering
2022 - 2024
University at Buffalo, The State University of New York, NY
Coursework – Algorithms, Data Models, Machine Learning, Parallel Algo., Computer Security, Networking Concepts, Project Development
Bachelor of Engineering, Information Technology
2013 - 2017
Mumbai University, India
Coursework - Java, C, C++, Web Design, OOP, Data Structures and Algorithms, Cloud Computing, Machine Learning, Neural Networks
Professional Experience
Founding Software Engineer
July 2024 - Present
The Care Hack, Inc | New York, NY, USA
- Led the development of a scalable mental health caregiver app, translating Figma designs into a responsive product using React, Next.js, and PostgreSQL, and delivered technical leadership in architecting core systems while collaborating closely with the CTO and team
Graduate Research Assistant
June 2024 - May 2024
Research Foundation for SUNY | Buffalo, NY, USA
- Collaborated with Dr. Jinjun Xiong on multidisciplinary research projects, focusing on building an ImageNet-like dataset to train AI models
- Created a content management system (CMS) to streamline research processes, using FastAPI and React.js, and deployed it on the Kubernetes cluster. Increased operational efficiency by 50% through automation and scalable infrastructure and optimized workflows
Senior Software Engineer
October 2021 - July 2022
Colgate Global Business Services Pvt. Ltd. | Mumbai, India
- Led a team of 20 through the implementation phase of an Agile project, spearheading project deliverables, and supervising key activities, including requirement gathering, design, and build. Reduced implementation timelines by 20% and achieved 99% data accuracy globally
- Developed and maintained a commercial-grade software platform for business planning, leveraging Django, React, Google Cloud, Kubernetes, Docker, and Celery. Created customer-focused APIs and front-ends to support millions of concurrent I/Os with low latency
- Shipped 3 core features within 6 months by implementing test-driven development (TDD). Coordinated cross-functional teams to integrate these features into the existing system, ensuring 100% adherence to zero-defect delivery and maintaining seamless user experience
- Designed validation pipelines to compare migrated data with source data, processing over 100 million records. Leveraged advanced data engineering techniques to normalize the data, resulting in a 90% reduction in validation time by eliminating manual validation processes
- Mentored and facilitated knowledge to onboard 10 new team members, emphasizing maintainable code and detailed documentation
Software Engineer
June 2018 - September 2021
Colgate Global Business Services Pvt. Ltd. | Mumbai, India
- Built a ticketing system using Django as the backend framework, integrating Jira tasks with internal support tickets using Jira APIs, enabling real-time issue status tracking. Provided automated SLA compliance checks, ensuring timely response and smooth project workflow
- Developed RESTful APIs in Django, addressed React.js component bugs, and added test cases in JEST. Validated PostgreSQL using complex queries for data integrity. Resulted in over 10,000 manual work hours saved across countries and improved planning accuracy by 75%
- Applied machine learning techniques, including neural networks, regression, and decision trees, to develop predictive models for business planning and demand forecasting at the product and category levels. Despite limitations, the models achieved the projected accuracy
- Analyzed and rectified pricing disparities between BigQuery and PostgreSQL databases using Pandas. Implemented a product matching system, and automated price recalculation workflow, including email notification to users. Reduced Mean time to closure (MTTR) by 50%
- Leveraged BigQuery to architect data-driven dashboards, streamlining business planning analysis across all subsidiaries. Reduced monthly manual effort by 150 minutes, and provided real-time insights, leading to informed decision-making in technical workflows
Junior Software Engineer
June 2017 - June 2018
Colgate Global Business Services Pvt. Ltd. | Mumbai, India
CBP-P2A Integration:- Engineered SAP ABAP (Open SQL) programs to integrate financial forecast data into Business Planning Applications, optimizing system efficiency. Collaborated with cross-functional teams and lowered processing time by 30% through meticulous ETL processes and validation
- Proactively addressed 25+ potential hot issues by leveraging Agile practices like Scrum and Kanban. Conducted in-depth Root Cause Analyses for each issue, providing detailed documentation to ensure consistent resolution strategies and enhance operational stability
- Gained global business interaction expertise, achieving 75% SLA adherence and ensuring user contentment post-issue resolution
- Spearheaded the Asia, America, and Europe divisions, excelling in resolving 175 incidents, with a key focus on swift software bug resolution
- Streamlined month-end data freezing process through automation, with new programs and workflows, slashing completion time by 90%
UoM Conversion Rectifier
Applied test-driven development to build a remediation tool to resolve vital Unit of Measure mismatch, adding new RESTful API services in Django, addressing React.js component bugs, adding test cases in JEST, and validating PostgresSQL using complex queries for data integrity, saving users over 10,000 manual work hours across countries and improved planning accuracy by 75%
Data Migration Validator
Led the development of a validation program with Python, PostgreSQL for comparing source data with migrated data, including sections like Master Data, Historical and Planning Data, totaling over 35 million records. Transformed the data by optimizing data types and re-labeling fields to ensure comparability, eliminating manual validation and leading to a 90% reduction in validation time
Pricing Mismatch Analyzer
Employed Pandas to analyze and fix disparities between Google Cloud and PostgreSQL databases. Established a mapping check for cross-database product matching and performed routine price mismatch checks. Deployed a Python program to delete local data, load Cloud data, recalculate prices, and email a list of affected products to the users, reducing support ticket volume by 50%
Automated Resource Notifier
Deployed a JavaScript-based notifier to track recurring issues and address an Atlas issue prioritization challenge. Leveraging advanced analytics for technical insights and data-driven decision-making, it optimized issue prioritization, resulting in a 15% increase in user engagement and a substantial decrease of over 200 weekly tickets, leading to higher user satisfaction
Aging IR Notification System
Implemented a robust integration of Jira task data with Support Tickets in Google Sheets via Google Apps Script, involved utilizing Jira REST APIs and mapping tickets to developers based on Jira IDs, enabling real-time issue status tracking and providing actionable daily summaries to technical teams facilitating automated SLA compliance checks and bolstering operational efficiency
Version Data Consistency Dashboard
Harnessed BigQuery data to architect data-rich dashboards, streamlining the analysis of business planning across all subsidiaries, resulting in a 150-minute reduction in monthly manual effort, enhancing data accuracy technical workflows
COVID Vaccination Slot Notifier
reated an notifier system utilizing Python, Flask, API’s with MySQL as the database, supporting CRUD functionalities. Monitored vaccination slots in real-time based on pincode and promptly notified users via email about the available slots
National AI Institute For Exceptional Education Portal
Developed a responsive, high-traffic website using FastAPI, having an intuitive user interface reflecting the institute's digital identity. Empowered faculty to manage research documents, track citations, and gain insights into their research impact through a cloud platform
ScanJD : Job Description Summarizer
Built a Chrome extension for LinkedIn, scanning job descriptions and presenting concise results on the page, enhancing job search efficiency. Employed ChatGPT's API in backend for job description analysis, extracting key metrics through advanced Prompt engineering techniques
Contact
Location:
Los Angeles, CA, USA
Email:
contact@pateldhaval.me
Call:
+1 (716) 590 9176
Meet me:
Calendly