Samarth Barthwal
Data Science
Tåregårdsvej 4, Ballerup
Summary
Experience working with Enterprises, R&D and start-up, with a clear goal to achieve business results with innovative and quality solutions. Glad to be in an era where blend of technology and business innovation is applied to solve business challenges.
I would describe myself as curious, interactive, team-player and a person who is always willing to learn
Overview
18
18
years of professional experience
6
6
years of post-secondary education
5
5
Certificates
Work History
Data Scientist
DSV, Hedehusene, Denmark
02.2023 - 12.2023
- Contributions towards design and architecture at various stages of MLOps flow
- PoC on Experiment tracking gathering metadata and artifacts and publishing them on metadata store on Vertex AI
- PoC on data drift detection using Evidently, modifying library source code and holding discussions with Data Scientists
- Driving parts of pipeline migration of projects in GCP, backed by test cases
- Azure DevOps - Cron job setup using PoweShell and PR review for pipeline setup
- Scripting MongoDb queries
- Adhoc scripts in relation to Azure, GCP and Confluence connectivity
- Adhoc tasks on GCP : handling BQ, FileTransfer etc
- Documentation and knowledge sharing of contributions.
Data Scientist
Foss Analytics, Hillerød, Denmark
04.2018 - 12.2022
- Designed and implemented solutions for various computer vision tasks including classification, segmentation & active learning - using supervised, unsupervised and semi-supervised methods
- Experimented running and optimizing AI solutions on edge devices, like Raspberry Pi, Jetson Nano & Jetson Xavier
- Developed classification and regression models on different range of infrared spectra, performing statistical and exploratory data analysis to solve regression and classification tasks
- Co-worked on 2 patents
- Active participation & contribution towards ideas around innovation.
Data Scientist (Intern)
Archii, Copenhagen, Denmark
10.2017 - 04.2018
- Worked on improving speed of machine learning pipeline
- Worked on implementing word2vec and doc2vec using Gensim and tuning hyperparameters
- Worked on migrating classifier algorithm from SVM to Deep networks.
Student Assistant
IBM, Brøndby, Denmark
10.2015 - 03.2018
- Area: Nordic Markets
- Monitoring redundant software on mainframes using IBM Tivoli Asset Discovery for Z/OS
- Work order dispatcher to ensure timely patches are provided to Z/OS
- Designed Skill Catalogue for department to get new business
- Helping managers with their reports and other tasks.
Lead IT Consultant
ITC Infotech, Bangalore, India
05.2010 - 07.2015
- Client: Danske Bank
- Responsible for end to end designing and implementation of Mainframe solutions
- Make sure existing applications are up to date with latest business norms
- Frequent communication with programmers and business in bank
- Mentoring new developers in team
- Conducting interviews to hire new employees.
Software Analyst
Verizon Data Services, Chennai, India
06.2006 - 05.2010
- Parent Company: Verizon Telecom, US
- Responsible for developing, implementing and testing Mainframe solutions for new connection ordering and customer address listing systems.
Education
MS in IT & Cognition -
University of Copenhagen
Copenhagen 09.2015 - 08.2017
B.Tech in Electronics & Communication Engg. -
Guru Gobind Singh Indraprastha University
Delhi 06.2002 - 06.2006
Skills
Computer Vision, OpenCV, Nvidia libraries
Natural language processing, LLMs, Langchain, Hugging Face, NLTK, Gensim
Programming: Python, Matlab, C, SQL
Deep learning Frameworks: TensorFlow, PyTorch
Containerization: Kubeflow, Docker, ONNX
LaTex, MS Office tools
Scipy, Scikit, Numpy, Pandas, PyQt & many more
Statistical Analysis
Observability, Evidently, Grafana, Prometheus
Data Science Research Methods
Airflow, Apache Beam, Apache Kafka
CI/CD, Shell scripting, Git
Business Requirements Gathering, Analytical thinking
Database Management, Data Modelling, MySQL, MongoDb, ChromaDB, SQLite, IBM DB2
Full stack : HTML, CSS, Javascript, AJAX, Django
Certification
LLM101x: Large Language Models: Application through Production - edX issued on November 1, 2023
Accomplishments
- Appreciated at Verizon with Spot award.
- Fire Safety warden at work. Regularly involved in fire drills and educating employees.
- Have been a regular blood donor.
Timeline
Data Scientist
DSV, Hedehusene, Denmark
02.2023 - 12.2023
Data Scientist
Foss Analytics, Hillerød, Denmark
04.2018 - 12.2022
Data Scientist (Intern)
Archii, Copenhagen, Denmark
10.2017 - 04.2018
Student Assistant
IBM, Brøndby, Denmark
10.2015 - 03.2018
MS in IT & Cognition -
University of Copenhagen
09.2015 - 08.2017
Lead IT Consultant
ITC Infotech, Bangalore, India
05.2010 - 07.2015
Software Analyst
Verizon Data Services, Chennai, India
06.2006 - 05.2010
B.Tech in Electronics & Communication Engg. -
Guru Gobind Singh Indraprastha University
06.2002 - 06.2006
Master Thesis
Goal of my thesis - 'Ensemble methods, theoretical guarantees and empirical evaluation of Neural Networks' was to create new ensemble methods on Neural and Deep networks, use weighted voting methods to aggregate the votes, compute theoretical generalisation guarantees using PAC Bayesian analysis, and to empirically evaluate the performance of the ensemble in relation to the baseline, uniform majority vote, Yevgeny Seldin & Christina Igel
Personal Information
- Date of Birth: 10/23/83
- Nationality: Indian
- Family: Wife and a daughter
Master Thesis
Goal of my thesis - 'Ensemble methods, theoretical guarantees and empirical evaluation of Neural Networks' was to create new ensemble methods on Neural and Deep networks, use weighted voting methods to aggregate the votes, compute theoretical generalisation guarantees using PAC Bayesian analysis, and to empirically evaluate the performance of the ensemble in relation to the baseline, uniform majority vote, Yevgeny Seldin & Christina Igel
Personal Information
- Date of Birth: 10/23/83
- Nationality: Indian
- Family: Wife and a daughter