Hardik Munjal Email & Phone Number

Toronto, Ontario, Canada

Spearheading accelerated underwriting initiative in the insurance department, focused on identifyingmisrepresentation of smoking and BMI information by applicants to ensure accurate risk assessment.

Toronto, Ontario, Canada

- Mentor ~50 working professionals enrolled with Great Learning by solving case studies and sharing my industry experience.- Conduct weekly sessions covering topics including:* Python Fundamentals* Advanced Machine Learning* Deep Learning* Computer Vision

London, Ontario, Canada

• Developed a streamlit-based de-duplication tool using clustering algorithms (DBSCAN, Hierarchical clustering) to streamline document processing and increase productivity, resulting in significant time and cost savings.
• Leveraged opencv, transfer learning (on ResNet50 architecture), and streamlit to create a powdery mildew detection application with 98% accuracy on the test dataset for crops in a greenhouse setup, enabling effective.
• Leveraged opencv, transfer learning (on ResNet50 architecture), and streamlit to create a powdery mildew detection application with 98% accuracy on the test dataset for crops in a greenhouse setup, enabling effective.

Pune, Maharashtra, India

• Deployed a serverless UPS monitoring solution on Azure Functions, leveraging Azure Key Vault, Azure MySQL, and Blob Storage. Streamlined deployment time from 4 hours to 20 minutes by implementing Linux scripts.
• Led a comprehensive workshop on H2O Driverless AI, an AutoML Tool, for a large audience of data scientists.

Pune Area, India

• Created an MLOps pipeline application using MLflow and Seldon-core, reducing deployment time by 60% and enabling Data Scientists to deploy models on Kubernetes clusters effortlessly. This decreased the dependency on.
• Led a pivotal project aimed at precisely extracting vital details from a range of transport documents, encompassing critical data such as addresses, dates, and invoice numbers. Utilized a strategic… Show more
• Led a pivotal project aimed at precisely extracting vital details from a range of transport documents, encompassing critical data such as addresses, dates, and invoice numbers. Utilized a strategic combination of AWS.
• Analyzed 5GBs of raw manufacturing data to develop predictive models using gradient boosting algorithms (XGBoost and LightGBM), achieving an f1-score of 78% and enhancing accuracy in the tire manufacturing process..
• Devised a cartoon detection model through transfer learning on a ResNet50 architecture, attaining 96% accuracy. Deployed the model on a Django server capable of handling 1100 requests per second for seamless.

Pune Area, India

• Optimized navigation performance for a self-driving golf cart prototype by collecting and labelling data and developing models to predict steering angle and perform real-time scene segmentation. Utilized Convolutional.
• Devised a robust Convolutional Neural Network (CNN) architecture for accurate customer footfall… Show more
• Devised a robust Convolutional Neural Network (CNN) architecture for accurate customer footfall detection, achieving 89% accuracy. Utilized TensorFlow to build and train the CNN model, enabling businesses to optimize.
• Built a facial recognition-based attendance and security system for over 40 employees, utilizing technologies such as OpenCV and deep learning framework - TensorFlow. Achieved 79% accuracy in facial recognition.

Pune Area, India

• Worked on two IoT products and a Machine Learning / Artificial Intelligent Product:
• Wireless Obstacle Avoider Robot: Integrating an Obstacle Avoider robot with Thingworx IoT Platform and controlling it over Wifi using a dashboard made using the Thingworx platform.
• Indoor Navigation: Developed a web application to track people inside a building using an android application on their phone and i-beacon technology. The web application could also provide simple insight regarding….
• Indoor Navigation: Developed a web application to track people inside a building using an android application on their phone and i-beacon technology. The web application could also provide simple insight regarding how.
• Face Recognition System: Developed a surveillance system, which logs the entries and exits of people in an organization and identifies the unauthorized people on the premises. Show less

Noida Area, India

• Worked on two Internet of Things products for the company:
• Event Management System: Developed an RFID-based event Management System using IBM Bluemix and Cloudant Database with a web-based UI built over Html, CSS, and Node-Red.
• Wireless Chess Board: An Arduino Uno-based chessboard that depicts the position of chess pieces using sensors.

Janakpuri

• Worked on the hardware and software side of two IoT products for the company.
• Wand: Developed a wireless game controller that used gestures to play games (compatible with Android Phones). Gained experience in Product Documentation and Market Research.
• HydroFlux: Developed a Home Automation Product for remotely switching ON/OFF an electric motor, with additional features of determining electricity consumption and water level.

Masters Of Data Analytics

Term-1 Courses: - Statistical Modelling - 1 - Business Skills - Database - 1 - Introduction to Machine Learning - Artificial Intelligence.

Bachelor Of Technology (Btech), Computer Science Engineering, 7.51 / 10

Activities and Societies: Awarded 1st position (out of 60) and a cash prize of INR 100,000 (approximately CAD$ 1650) in a Final Year.