Harpreet Singh

About Harpreet Singh

With a BE in Computer Science Engineering from Gujarat Technological University, I have developed a strong foundation in data science and engineering skills, such as SQL, Python, machine learning, and visualization tools. I am passionate about solving real-world business problems using analytics. In my previous role as a software engineer at Orange Business Services, I applied my skills to execute statistical data modeling, quantitative analysis, data wrangling, and data visualization for various projects. I deployed machine learning models to improve customer experience and analyze large datasets to discover impactful trends and patterns. I also collaborated effectively with cross-functional teams, implemented security measures, and documented codebase and APIs. I am a goal-oriented individual and an inspiring data learner at heart. I always seek new challenges and opportunities to learn and grow. I believe that the future belongs to those who combine more skills in creative ways. I am looking for a position that allows me to use my data science and engineering skills to make a positive impact. Your dream + my expertise = scalable, performant, reliable, and intuitive products. Let\'s build something extraordinary!

Experience

1. Ai Data Engineer

   NextGenSoft Technologies LLP

   Aug 2023 — Present · Ahmedabad, IN

   Designed and implemented end-to-end AI/ML solutions using Databricks (Azure/AWS) for large-scale enterprise data platforms.•Built scalable data pipelines using PySpark on Databricks, processing structured and semi-structured data (JSON, Parquet, Delta).•Worked extensively with Delta Lake for ACID transactions, time travel, and optimized data versioning.•Developed ML models using Scikit-learn, TensorFlow, and PyTorch and tracked experiments using MLflow (Databricks native integration).•Built and deployed models using Databricks Model Registry and served them via REST endpoints for real-time inference.•Designed feature engineering workflows using Databricks Feature Store to ensure consistency between training and inference.•Implemented batch and streaming pipelines using Structured Streaming.•Optimized Spark jobs (partitioning, caching, broadcast joins) to reduce processing time by 30–40%.•Collaborated with Data Engineers to design Medallion Architecture (Bronze, Silver, Gold layers) in Databricks.•Built AI-powered analytics dashboards integrating Databricks with BI tools.•Integrated external APIs (OpenAI / HuggingFace) within Databricks notebooks for GenAI workflows.•Automated ML training pipelines using Databricks Workflows / Jobs.•Implemented CI/CD for notebooks and ML models using Git integration.•Monitored model performance and implemented drift detection strategies.

Education

• Shiv Ashish School

  HSC Certificate, Science,CBSE

  2017 — 2018

• National Public School

  SSC Certificate, CBSE

  2015 — 2016

• Gujarat Technological University (GTU)

  Bachelor of Engineering - BE, Computer Science Engineering

  2018 — 2022