Aditya Dhookia

Associate - Deutsche Bank || Bosch AI || IIT BHU |

2.1

Years of Experience

Education

indian institute of technology banaras hindu university varanasi

Companies

deutsche bank, deutsche bank, bosch, imagine research group, university of bern, ubiquitous computing lab, changwon national university

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Experience

2022 - Present
deutsche bank
Senior Analyst - Technology
• Working on some cool projects. • Developed Big data pipelines on Spark for critical feed enrichments for organization profit and loss data. • Awarded a bank-wide performance excellence award - "Recognition Award 2022" - for exceptional performance. • Mentored 2 interns (10 weeks) to deliver a smart recruiter tool that aims end-to-end Resume Parsing and Finding Candidates for a Job Description using BERT. • Developed a platform that can convert JSON/Avro format data to CSV/excel up to 20 lakhs rows of data, with the capability to perform SQL queries and integrated it with Hadoop storage. Show less
2021 - 2022
deutsche bank
Graduate Analyst - Technology
2021 - 2021
bosch
MLE Intern
2020 - 2020
imagine research group
Research Intern
1. Prepared a new dataset from scratch containing more than 5000 labeled images which include depth ordering information. 2. Designed a CNN based Encoder-Decoder architecture for accurate depth estimation for occluding objects from a single image. 3. Worked on Development of a Efficient Labelling tool for adding depth ordering information especially for Occluding Objects.
2020 - 2020
university of bern
Research Intern
Worked on Investigating the potential of weakly supervised segmentation within the context of CT lung image analysis aiming at detection of interstitial lung disease (ILD) related patterns.
2019 - 2020
ubiquitous computing lab
Research Assistant
1. Developed a new algorithm for Early Stage Dementia Detection based on Recurrent Neural Networks (RNN)(LSTM and GRU) and achieved state-of-art performance on ARUBA dataset. 2. Worked on Application of Unsupervised Domain Adaptation by Backpropagation to overcome the insufficiency of Neuroimaging Data.
2019 - 2019
changwon national university
Research Internship
1. Implemented an efficient algorithm for real time low resolution face recognition based on Discriminant Correlation Analysis (DCA). 2. Worked on solving airlight estimation problem using internal recurrence property of images for the task of image dehazing.