Hello, Welcome to my CV Website !!
My name is Adnan.
I am currently working as a Full-Stack Data Scientist. I have completed my Masters's from the University of Stuttgart (Infotech - Computer Science and Electrical Engineering) with a specialization in Embedded System and Deep Learning.
I have a strong focus in the field of Data Science and Machine Learning and I am looking forward to growing my knowledge and experience in the same domain.
Education Background
My Educational Background
Master of Science in Information Technology
Universität Stuttgart, Stuttgart, Germany
1. Embedded systems, Deep Learning
2. Industrial automation systems, Intelligent Sensors, and Actuators
3. Imaging Science, Information TheoryBachelors of Engineering Electronics and Telecommunications Engineering
Mumbai University, Mumbai, India
Completed B.E. in year 2018 from Mumbai University.
Experience
Companies I have worked with.
SURU-Part of LIXIL
Full-Stack Data Scientist
1. Analysis of Insurance portfolios and Penetration target analysis.
2. Creating ML models to detect micro-leakages and other water-related anomalies.
3. Extraction of Data from Data Lake for Sales and Customer Support Teams.
4. Portfolio Ranking using ML/DL techniques.
5. Presenting data insights to the customers
6. Skills: Python, SQL, AWS Cloud, AWS Athena, AWS Glue, AWS S3, Docker, Git, SCRUM.Vialytics GmbH
Werkstudent in Machine Learning
Working in the field of Machine Learning and Data Science. Current tasks include :
1. To Train an Object Detector using YOLOv4 to detect road damages using Images & Oracle cloud.
2. Use of non-visual smartphone sensors (Acceleration) data on the Smartphone to assess the unevenness of the road (Deployed and Testing).
3. Fault and Anomaly analysis for detecting and correcting outliers categorized Roads. In Deployment Stage using gRPC and Docker.Fraunhofer IAO
Master Thesis Project
Topic: Handcrafted machine learning versus Deep Learning: Decoding neurophysiological signals for the comparison of workload and emotion classification.
Institute : In collaboration with Institut für Signalverarbeitung und Systemtheorie (ISS) at the Universität Stuttgart and Fraunhofer IAO.
1. Use of proper machine Learning algorithms for feature extraction of EEG signals.
2. Selection and Implementation of appropriate Deep Learning architectures.
3. Skills: Deep Learning, Machine Learning, Feature Extraction, Signal Processing, EEG, ECG, EDA signalsRobert Bosch GmbH
Internship in Software Development and Integration
Internship in software and tool development for semi-autonomous parking systems.1. Internship in software and tool development for semi-autonomous parking systems.
2. Working with the Software Integration Team in an agile approach.
3. Skills: Python, Jenkins, QAC, and Continuous Integration, JIRA, Git.Working Student in Software Development
1. Backend Development, Data management, data visualization, data analysis, and HIL Analysis.
2. Working with the Chasis control and the Autonomous Driving Department.
3. Tools: Python scripting, Python programming, GIT, and SQL.Wearable Technologies AG
Werkstudent in Data Science
1. Working in the field of Artificial Intelligence and Data Science.
2. Vision is to proactively create an intelligent Wearables IoT landscape for the future.
3. Skills: STM Boards, Deep Learning, IoT Data Analysis.Fraunhofer IPA
Student Research Assistant
1.Implementation of wireless communication and cloud computing for exoskeletons
in the convertible factory.
2.Creation of PWA of the Web Application for displaying the data from the Exoskeleton.
3.Creation of Dashboard for data visualization of the data from the Exoskeleton
sensor coming as data stream using KafkaInstitute for Industrial Manufacturing and Factory Operation IFF, Universität Stuttgart
Master's Study Project
Project at IFF, Universität Stuttgart. In collaboration with the Institute for Signal Processing and Systems Theory, Universität Stuttgart, and Fraunhofer IPA.
Title: LSTM and CNN based IMU Sensor Fusion approach for Human Pose Identification in Manual Handling activities.
Institute for Technical Optics, Universität Stuttgart
Research Assistant
1. Working as a Research Assistant for the development of object detection algorithms for Virtual Reality glasses.
2. Position and Coordinate Estimation of LEDs mounted on VR helmets using Computer Vision on images taken by NVIDIA Jetson Nano.Passion and Interests
What I am interested to work on.
Data Science
Machine Learning
Deep Learning
AWS Cloud
Computer Vision
Python Automation and IoT
- Visit my Technical Blog Post on Medium
What's new ??
- Say hello!
Feel free to contact me for any doubts and collaborations.