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Work Background
Professional 2 Application Developer
DXC TechnologyProfessional 2 Application Developer
Oct. 2022Projects :- 1 Reconciliation of ETL. 2 Automatic data mapping using BERT. 3 PII detection. 4 IVARI Datazone.
Professional 1 Application Developer
DXC TechnologyProfessional 1 Application Developer
Apr. 2021 - Oct. 2022Customer churn prediction for insurance:- The client wants an understanding of which of his customers is most likely to churn. Here we analyzed data to detect customers who are likely to cancel their premiums as the business model is based on premium. we are evaluating through a machine learning model that customers are most at-risk of churning so the client can use some preventive measures to not let that happen. As the whole project contains sklearn pipeline model to save the model and the preprocessing in library from which is deployed in AWS by use of sagemaker the inference is accessible by AWS lambda and UX/UI design by the Platform team The technology used:- - language:- - python - algorithm:- - Gradient boosting - Deployed using AWS Sagemaker - It also includes containerization and endpoints. - Getting output using AWS Lambda and via UX/UI consol
Machine Learning Engineer
ONE BCG - ONE Business Consulting GroupMachine Learning Engineer
Oct. 2018 - Apr. 2021Chandigarh Area, IndiaManaging Data Pipeline Data Analytics & Reporting Face Recognition Using Computer Vision Attendance System Using Facial Recognization, through Image Data trained into the Model provided for each employee. In-Logs and Out-Logs per Employees in the office maintained using the same. Technology Stack Used: Python Tensorflow-GPU Cuda Pickle Resnet v1 Transfer learning SSDN mobilenet MTCNN OpenCV PROJECT REPORTS VIA EMAIL USING ETL Problem Statement based Data Extraction through MySQL using Python. Storing & Transformation of the retrieved Data to HTML Format. Data Packaging into Email and sending to the designated Person through Amazon SES. Advance Care Number Plate Recognition, the problem is to open the gate in real-time so that Car / Bike need not stop or wait at the Entrance. It is basically for the Employee associated with the Organization. Moreover, it will help the Security Personnel to keep a record of the Parking so that it won't impact the parking of VIP. Python Tensorflow-GPU Cuda Pickle Transfer learning Keras OpenCV YOLO V5 custom deep text OCR Customer churn prediction:- Client wants an understanding of which of his customers is most likely to churn. Here we analyzed data to detect customers who are likely to cancel their subscriptions as the business model is based on subscription. we are evaluating through machine learning model that customers most at-risk of churning so the client can use some preventive measures to not let that happen. Technology used :- - language :- - python - algorithm :- - Random forest. - XGBoost - lime to reach the granular level. -Data extraction:- - Worked in postgresql for data extraction.
Data Science Trainee
ConstalyticsData Science Trainee
Feb. 2018 - May. 2018Mohali punjabWorking on image classifier and also working on object identification in a video Comprehensive understanding of deep learning Proficient in Python CREDIT CARD FRAUD DETECTION Predicting whether a person could be a potential Defaulter or not, based on previous Dataset of 6 Months Credit Card Billing. Dataset was cleaned, normalized, with proper Analysis to create a better prediction model. NEURAL NETWORK BASED IMAGE CLASSIFICATION Image Classification upon a set of Images to Detect if the Image is that of a Cat or a Dog. Technology Stack Used: Python Matplotlib - Visualization Numpy/Pandas - Data Management Tensorflow - Understanding of Neural Networks

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