Danish Bansal Email & Phone Number

Bengaluru, Ka, In

Gurugram, Haryana, India

1. Managed the Data Engineering team for a fast-growing Dubai-based food tech startup, overseeing: a. Business requirements gathering and solution architecture while adhering to budget and technical constraints. b. CI/CD pipeline management on Databricks notebooks and workflows across multiple environments. Code optimization, pull request reviews, and defining testing processes to ensure seamless pipeline execution.2. Functioned as Solution Architect, interfacing with clients and internal teams to deliver tailored solutions: a. Defined project approach, timelines, resource allocation, and created architecture diagrams for Requests for Quotation (RFQs). b. Contributed to securing 5+ projects by designing and presenting scalable solutions that met client needs.

Gurugram, Haryana, India

1. Led the development of an AI-powered digital quiz platform for teachers, using Object Detection and Optical Character Recognition (OCR) to convert handwritten MCQs into digital format with 87% accuracy.2. Built multiple Proof of Concepts (POCs), including virtual try-ons for makeup, clothing, and jewelry, as well as audio transcription solutions.3. Worked on large-scale data processing for a UK-based real estate client using PySpark. Key contributions included: a. Training an Automated Valuation Model (AVM) to predict property valuations within a 10% error margin. b. Enriching datasets by imputing property data and efficiently processing over 1TB of LIDAR data, writing cost-optimized scripts that minimized computing expenses. c. Utilizing AWS Glue, GCP Kubernetes, and Flask to deploy AI models and services. Developed a model to predict property construction year with an 85% ±1 accuracy. d. Implemented efficient string matching for datasets exceeding 30 million records, streamlining data processing.

Gurugram, Haryana, India

1. Spearheaded a data analytics project for a major Nigerian utilities client, reducing data processing costs by 66.6% and processing time by 80%, while working with 66% less data.2. Developed a Named-Entity Recognition (NER) model to extract product names from text, achieving 93% accuracy.3. Led the development of an object detection and tracking system for 38 different road objects, managing data annotation and model training. Designed a custom tracking algorithm, achieving a 95% reduction in throughput time with 82% precision.4. Applied supervised and unsupervised image segmentation techniques to remove backgrounds from jewelry images, attaining a 92.7% accuracy rate.

Respond to questions related to the latest technologies to allow students to fully understand the topics.

Compiles organized and non-organized data from a variety of sources to collect useful information. Help the company speed up the product development process by 60% by providing relevant data in a strict time frame of just 2 weeks. Directs the design of the neural network process to make it a benchmark for the enterprise. Development of the machine learning model for successfully assessing the personality of the student.

Corrected codes from data structures and algorithms using Python for over 800 codes. Shortened response time to resolve the doubt that helped the company operate smoothly.

Bachelor Of Technology - Btech, Computer Science, 8.2

- Authored a research paper in the field of deep learning during my sophomore year - Oversaw my hostel's dining committee during my junior.

12, Non Medical, 82.76%

10, School, 93%