Akshenndra Garg
Helsinki
Summary
Data Scientist with 6 years of experience in data science & engineering. Seasoned data scientist proficient in machine learning, statistical modeling, AB testing, Python, SQL, and Azure, with proven expertise in developing advanced ML systems, and dashboards and optimizing data-driven solutions across various industries. Experienced in collaborating with cross-functional, cross-continental teams and external vendors to implement innovative solutions.
Overview
9
9
years of professional experience
Work History
Data Scientist
Ahlstrom
Helsinki
05.2022 - 11.2024
- Recipe 2.0: Achieved €3.5M paper production cost savings with MLflow and Azure Databricks, aiming for €26M by 2026.
- Developed and deployed automated ML pipeline for sales forecasting using Prophet in Azure.
- Engineered Proof of Concept R&D dashboards for pulp morphology analysis leveraging SHAP and Power BI.
- Optimized product profit and loss tracking with Azure Synapse Analytics enabled Price Realization Tracker.
- Developed Frequency & Volume Pattern Scanner in Azure Synapse and Python for strategic product risk identification.
- Streamlined Pricing Governance solutions: automated data pipeline integration from Azure Data Lake using SQL and Azure Synapse Analytics.
Data Science Consultant
Freelance
Helsinki
06.2020 - 04.2022
- Dreambroker Oy - Implemented WCAG-compliant frontend features and advanced DL application prototyping for improved video communication.
- Futusome Oy - Optimized backend processes and crawler configurations in Java and JSON.
- LYTiQ GmbH - Achieved an accuracy of 82.5% on eye gaze classification using advanced deep learning and image extraction.
- Gateway group - Led predictive analytics utilizing ARIMA and Holt Winters in R for enhanced parcel delivery forecasting.
Research Assistant (Deep Learning and Computer Vision)
Aalto University
Espoo
05.2019 - 11.2019
- Developed advanced speech privacy estimation models using Random Forests and Convolutional Neural Networks, achieving accuracies of 62.71% and 64.51% respectively.
- Authored a research-based Master's thesis, presenting significant study results.
Data Scientist
Ernst and Young
Helsinki
05.2018 - 11.2018
- Pioneered EY's Digital Tax Revolution: Developed a Python VAT classification tool from scratch, achieving an 80% reduction in tax consultant processing time.
- Enhanced operational efficiency in EY's core tax operations, significantly streamlining workload through ML integration.
Software Developer (Machine Learning)
Naukri.com
Noida
08.2016 - 08.2017
- Company Overview: India's leading job portal
- Developed Naukri.com's chatbot backend and natural language processing engine.
- Orchestrated and maintained a testing environment for the Job Description Parser with MySQL and Python.
- Enhanced chatbot's entity recognition and user intent analysis using Stanford Named Entity Recognition, and improved parser accuracy by 15%.
- India's leading job portal
Research Assistant
University of Paderborn, Germany
Paderborn
01.2016 - 06.2016
- Engineered AutoFlow, Python library for automated data preprocessing, feature transformation, model selection, hyperparameter optimization, and ensemble modeling.
- Delivered over 80% accuracy on standard datasets with AutoFlow, showcasing its efficacy with minimal user input.
- Authored a Bachelor's thesis with novel findings, underpinned by extensive research facilitated by AutoFlow.
Education
Master of Science (Technology) - Machine Learning, Data Science & Artificial Intelligence
Aalto University
Helsinki, Finland12.2022
Bachelor's of Technology - Information Technology
Indian Institute of Information Technology
Allahabad, India09.2016
Skills
- Azure DataLake
- Synapse Analytics
- Data Factory
- Databricks
- ML Flow
- Data pipelines
- Apache Spark
- Machine Learning
- Python
- Pytorch
- Scikitlearn
- Pandas
- Numpy
- Matplotlib
- OpenAI APIs
- R
- MySQL
- SQL stored procedures
- Git
- Azure DevOps
- Full stack development
- React
- CSS
- JavaScript
- C
- C
- Agile methodologies
- MVP & prototype development
- Code review
- AutoFlow Python library
- ConvoBuddy language learning webapp
- YKI language application
- Linux
- PowerBI
- Kedro
- Latex
- Vercel
- Render
- Docker
Projects
Convobuddy, Implemented backend API in Flask & Python and frontend in React. Used OpenAI API & Generative AI models to build a web app for language learning through conversations.
Publications
Performance Evaluation of Distance Measures for Preprocessing of Set-Valued data in Feature Vector generated from Linked Open Datasets, IEEE UPCON, Allahabad, India, 2015, A.Garg
Timeline
Data Scientist
Ahlstrom
05.2022 - 11.2024
Data Science Consultant
Freelance
06.2020 - 04.2022
Research Assistant (Deep Learning and Computer Vision)
Aalto University
05.2019 - 11.2019
Data Scientist
Ernst and Young
05.2018 - 11.2018
Software Developer (Machine Learning)
Naukri.com
08.2016 - 08.2017
Research Assistant
University of Paderborn, Germany
01.2016 - 06.2016
Master of Science (Technology) - Machine Learning, Data Science & Artificial Intelligence
Aalto University
Bachelor's of Technology - Information Technology
Indian Institute of Information Technology
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