PARTHIV SHAH
@parthivshah
DATA SCIENTIST at PANAMAX INC.
Ahmedabad, India
Proficient in Python and skilled in developing predictive models, conducting statistical analysis, and creating data-driven solutions. Experience in working with biometric data to develop innovative algorithms and solutions for identity verification and authentication. Seeking opportunities to apply expertise in data science and machine learning to drive innovation and solve challenging problems in a dynamic environment.
Experience
DATA SCIENTIST
PANAMAX INC.
Led the development of Talking Avatar using RAG, LlamaIndex and LLM. Developed, implemented, and deployed integration solution of WhatsApp API and ChatGPT using Google Dialogflow, OpenAI, and Python webhook for customer interaction. Built a ML model to predict agent cash requirements in a fintech application, utilizing historical transaction data for training. Created a web application using Flask to demonstrate the functionality of the predictive model and facilitate testing. Independent research to develop an AI model for anomaly detection in a telecommunications product. Research, develop and Complete Integration of OCR algorithms, anti-spoofing techniques and face matching using ML techniques for one of the reputed bank organizations. Coordinated with cross teams for a Python automation script which integrated with Elasticsearch to monitor infra and sending alerts to Elasticsearch index. Engaged in various projects to develop diverse Python scripts. Worked on twisted framework for an organizational project related to telecom SMS gateway. Built a robust automated interview slot booking system for my current organization.
FULL STACK INTERN
MAS FINANCIAL SERVICES
Development of loan disbursement system using Django framework.
Education
Pandit Deendayal Energy University (PDPU)
Computer Science Engineering
Seventh Day Adventist Higher Secondary School
SSC (12th)
Licenses & Certifications
Open digital framework Certification
Certification of Machine learning classification use case solving online seminar conducted by IEEE
IEEE