Sarthak agarwal

Senior Associate Analyst

OYO Rooms•  June 2022 - Present

Drawing insights from a large database on realization i.e. conversion of online booking on oyo platform to people actually checking in hotels. Development and maintenance of multiple trackers for realization team.Drawing insights from a large database on realization i.e. conversion of online booking on oyo platform to people actually checking in hotels. Development and maintenance of multiple trackers for realization team. Skills: Pandas · NumPy · Business Analysis · SQL · Data Analysis · Microsoft Excel · Python (Programming Language)

Software Engineer

Lumiq.ai•  February 2021 - June 2022

Worked on various projects like Face Extraction and Face Verification using AWS Recokgnition, Watermark Image Classification and Watermark Removal using Resnet50 and G.A.N neural networks, KYC Validation. Basic Tech stack included Python, Flask, Fastapi, PostgreSQL, neural networks, machine learning algorithms, Docker containers and Docker Compose. Worked on refactoring and reforming previous build features of under development products. Handled the responsibility of end to end production and deployment of various features. Worked on data collection, data labeling, data annotations and model training, provided support and maintenance for various per-existing services. Worked on project A.N.P.R. (Automatic Number Plate Recognition) where we tried to detect the number plate in an image of a car and extract license number and number plate color. Tech stack used was Python, FastApi, Docker, Unet neural network, LabellImg labeling tool, AWS Textract.Worked on various projects like Face Extraction and Face Verification using AWS Recokgnition, Watermark Image Classification and Watermark Removal using Resnet50 and G.A.N neural networks, KYC Validation. Basic Tech stack included Python, Flask, Fastapi, PostgreSQL, neural networks, machine learning algorithms, Docker containers and Docker Compose. Worked on refactoring and reforming previous build features of under development products. Handled the responsibility of end to end production and deployment of various features. Worked on data collection, data labeling, data annotations and model training, provided support and maintenance for various per-existing services. Worked on project A.N.P.R. (Automatic Number Plate Recognition) where we tried to detect the number plate in an image of a car and extract license number and number plate color. Tech stack used was Python, FastApi, Docker, Unet neural network, LabellImg labeling tool, AWS Textract. Skills: Amazon EC2 · Amazon S3 · Git · GitHub · Linux · Natural Language Processing (NLP) · FastAPI · Neural Networks · SQL · Python (Programming Language) · Machine Learning · Computer Vision · Flask · Docker

JIIT, Noida (Jaypee Institute of Information Technology)

Computer Science & Engineering, B.Tech•  August 2017 - July 2021

Worked on 1 Major and 2 Minor projects - Crime Data Clustering and Hot-spot coordinates prediction using Python, elbow method and K-Means - Prediction of movement of cloud trajectory using Python, Image segmentation using K-means, Mean Prediction Model - Multilingual Image Captioning using Python using Python, Convolutional LSTM, Transformers - A.I. music generation using Generation using Python, LSTM