P

Prince Bhatt

AI Researcher

Mumbai, Maharashtra, India2 yrs 3 mos experience
AI EnabledAI ML Practitioner

Key Highlights

  • Expert in building optimized data pipelines.
  • Reduced processing times significantly using SQL.
  • Strong background in AI and machine learning.
Stackforce AI infers this person is a Data Engineering expert with a strong focus on AI and big data technologies.

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Skills

Core Skills

Machine LearningDeep LearningData EngineeringBig DataData Analysis

Other Skills

Amazon Web Services (AWS)AnalyticsApache AirflowApache KafkaApache SparkAzure Data FactoryAzure DatabricksCassandraData AnalyticsData ManagementData ModelingData PipelinesData QualityData VisualizationData Warehousing

About

As a detail-oriented Data Engineer, I am passionate about transforming raw data into valuable insights that drive business performance. With a solid foundation in SQL, Python, and big data technologies, I specialize in building and optimizing data pipelines, managing large datasets, and delivering actionable analytics. During my internship at ERP Launchpad, a service-based enterprise resource planning company, I had the opportunity to work on diverse projects across various industries, including Manufacturing, Pharma, and Startups. My role as a Data Engineer-Analyst involved handling multiple clients and projects simultaneously, where I consistently delivered high-quality, polished work. Many clients specifically requested my expertise due to my ability to efficiently process and analyze complex data. I have successfully built pipelines to ingest data from multiple data warehouses into storage containers, performed data scraping and manipulation, and prepared datasets for client use. Leveraging my SQL knowledge, I have developed optimized code that reduced processing times from 90-120 seconds to just 10-12 seconds. Additionally, I used Power BI to create compelling visual reports, enabling clients to make data-driven decisions with confidence. My experience also includes working with AWS services such as S3 for storage and EMR for processing and analyzing vast amounts of data. I have contributed to development projects from scratch, led teams, and directly interfaced with clients to understand their requirements and deliver tailored solutions. In addition to my technical expertise, I hold professional certifications from the New York Institute of Finance in Credit Risk and Credit Analysis, as well as Mastery in Corporate Finance & Valuation Methods. This knowledge equips me with a unique perspective on the financial implications of data-driven decisions. I am eager to bring my skills in data engineering, big data technologies, and cloud platforms to a forward-thinking organization. I thrive in collaborative environments and am continuously seeking opportunities to learn and grow. If you are looking for a dedicated and enthusiastic data engineer to contribute to your team, I would love to connect and discuss how I can add value to your data engineering initiatives. To know more, feel free to reach me at princebhatt3744@gmail.com.

Experience

2 yrs 3 mos
Total Experience
9 mos
Average Tenure
11 mos
Current Experience

Deloitte

AI Engineer

Jul 2025Present · 11 mos · Mumbai, Maharashtra, India · Hybrid

  • As an AI Engineer, my role involves designing and developing intelligent systems that leverage data-driven insights to solve complex business problems. My key responsibilities include:
  • Identifying and evaluating opportunities for applying AI/ML to real-world use cases across various domains.
  • Building and optimizing machine learning and deep learning models for predictive analytics, natural language processing, and intelligent automation.
  • Applying GenAI and LLM technologies to build innovative solutions, including prompt engineering, fine-tuning, and integrating models into enterprise applications.
  • Collaborating with product owners, business analysts, and technical teams to translate business challenges into AI-powered solutions.
  • Ensuring ethical AI practices, model fairness, and governance are followed throughout the development lifecycle.
  • Participating in MLOps workflows, including model versioning, experimentation, monitoring, and retraining strategies.
  • Staying updated on the latest advancements in artificial intelligence, machine learning, and generative technologies to continuously enhance solution design.
Python (Programming Language)Gen AIMLOpsMachine LearningDeep LearningLLMs+6

Feg

Data Engineer

Nov 2024Jul 2025 · 8 mos · Hyderabad, Telangana, India · On-site

  • This opportunity marks an exciting new chapter in my journey, where I'll work on advanced data engineering practices and contribute to building robust data pipelines, optimizing SQL queries, and leveraging big data technologies on MS Azure and Data Bricks platform.
XMLPySparkTest-Driven DevelopmentPython (Programming Language)Microsoft SQL ServerJSON+8

Erp launchpad

Data Engineer-Analyst

Mar 2024Nov 2024 · 8 mos · Pune, Maharashtra, India

Python (Programming Language)SQLData PipelinesExtract, Transform, Load (ETL)Google LookerSAP Report+7

Education

Liverpool John Moores University

Master's degree — Thesis on Generative AI

Jul 2023Apr 2024

International Institute of Information Technology Bangalore

Masters in Data Science — Machine learning and Artificial intelligence

Jan 2021Jan 2023

Pacific University Udaipur

Bachelor of Science - BSc — Computer Science

Aug 2018Aug 2021

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