Shreya

about me

Hello there, I'm Shreya Banik - a Professional Data Scientist with three years of industry experience building end-to-end AI solutions and turning large-scale datasets into actionable insights.

My passion lies in utilizing data to solve complex business problems, performing in-depth statistical analysis, and developing robust machine learning algorithms. With a solid foundation in Data Science, I bring proficiency in Python, SQL, Excel and experience in creating REST APIs for data storage, processing, and analytics. I am skilled in crafting data visualization dashboards that not only present data effectively but also make it accessible and understandable for everyone.

Location

New Haven, CT

email

sbani1@info.com

website

www.sbani1.com

mission

"I am not just another tech professional—I am a catalyst for transformation. My mission is to empower the world with sustainable AI solutions by combining the potential of Generative AI and Data Intelligence to accelerate human reinvention. I aim to create innovations that promote better living, environmental responsibility, and inclusivity, ensuring that technology serves as a force for global progress and human well-being."

education

2023 - Present

master of science in
data science

university of new haven

west haven, CT-USA

This program provided me with comprehensive knowledge and hands-on experience in various aspects of Data Science, Machine Learning, and Artificial Intelligence. I gained valuable skills in problem-solving, critical thinking, and project management through coursework in advanced statistical data analysis, computer vision, and natural language processing.

2017 - 2021

bachelor of technology in
electronics & communication engineering

Maulana Abul Kalam Azad University of Technology

Kolkata, WB-India

This program equipped me with a solid foundation in essential aspects of Engineering and Technology, allowing me to explore the vast horizons of Electronics and Computer Science. My passion for coding was ignited here, particularly through hands-on experience in Python, C++, Data Structures, and OOPs, sparking my interest in Machine Learning. Additionally, I honed my analytical, leadership, and communication skills, which have been invaluable in my professional journey.

2015 - 2017

High School With PCM Specialization
& Biology optional

Chinsurah balika siksha mandir

Hooghly, India

During my high school years, I pursued a specialization in Physics, Chemistry, and Mathematics (PCM), with an additional focus on Biology. This combination allowed me to build a strong foundation in both the analytical and life sciences, nurturing my curiosity and problem-solving skills. My experience here laid the groundwork for my subsequent studies in Engineering and Data Science.

experience

Data Science Intern

WelSpot Inc.

New York, USA

Designed and Implemented an AI-powered business health monitoring system leveraging Vertex AI, BigQuery, and LlamaIndex; developing multi-agent RAG pipelines, refining prompt engineering, and optimizing real-time analytics for context-aware recommendations.

2025 - Present

Data Science Intern
2025 - 2025

Research Assistant

University of New Haven

connecticut, USA

Led Deep Learning research on 3D-Vision Welding Recognition systems under SAIL-LAB in collaboration with Servo Robot, focusing on seam detection optimization, hyperparameter tuning, and model generalization using customized Machine Learning Model.
Programmer Analyst

Cognizant Technology Solutions

Kolkata, India

My duties involved working on insurance related (i.e., policy and claims) large and complex datasets to identify key-patterns, extract meaningful insights, ensure data consistency through data pipelines and build visualizations to present project outcomes to stakeholders and clients.

2021 - 2023

Programmer Analyst
2021 - 2021

Data Analyst Intern

CBNITS Pvt. Ltd.

Kolkata, India

Developed a flexible and protected mobile application for Crypto-Currency using Angular framework and Typescript in React-Native environment and Performed comprehensive end-to-end research to inform data-driven decision-making processes and enhance overall project outcomes.