Anand Maurya

Bis 2021, Information Engineering, Kiel University of Applied Sciences
Hamburg, Germany

Skills

Python
Machine Learning
Computer Vision
Git
Deep learning
Responsible
Motivation
Creativity
Team work
Analytical skills
Fast learner
results-oriented
Data Science
Artificial intelligence
TensorFlow
Data Analysis
PyTorch
Neural Networks
ML
Keras
MySQL
SQL
independent
dynamic
self-motivated
Creative
Innovative
Englische Sprache
R programming language
Statistics
Linux
MLflow
NumPy
Forecast
Software Development
Big Data
scikit-learn
Jira
Data Analytics

Timeline

Professional experience for Anand Maurya

  • Current 3 years and 11 months, since Apr 2022

    Machine Learning Engineer

    aifora GmbH

    1. Created Machine learning models that forecasts consumer demand per article for price and stock automation SaaS solutions to make optimal merchandising decisions 2. Improved sales forecasting ML models based on GLM in R programming language 3. Statistical quantitative data analysis & visualization to find sales pattern over big data using Databricks, R & PySpark. 4. Cost calculator: Data collection from MySQL, Airflow, Databricks, R for analysis and build a regression model using Sklearn to predict cost

  • 6 months, Jul 2020 - Dec 2020

    Working Student

    LangTec

    1. Developed a feature solution to fetch the nearest means of transport (S-Bahn, U-Bahn, Bus station) of given address using Open Street map in python. CI/ CD pipeline using Flask framework on Gitlab. 2. Estimated textual variety and texts analysis over large scale corpus, implementing cosine and levenshtein distance. 3. Regeneration of long unstructured text using random seed (saved in database) passed as an optional parameter in URL. 4. Benchmarking and profiling GPU's performance and speed.

  • 6 months, Jul 2020 - Dec 2020

    Master Thesis Research student

    LangTec

    1. A Computer Vision research project using CNN algorithm to restore empty form image from a machine-printed filled form image 2. Document analysis & distinguishing dynamic content from static content and deleting erasing only dynamic content 3. Large scale Datasets creation of 140 German tax form documents 4. Data preprocessing, inputs preparation by filling the empty form with synthetic tax data. Mask of dynamic content is prepared using OpenCV. 5. MultiResUNet segmentation model 6. Dice score of 0.71

Educational background for Anand Maurya

  • 4 years and 5 months, Nov 2016 - Mar 2021

    Information Engineering

    Kiel University of Applied Sciences

    Grade: 1.89 -Focus Areas - -Deep Learning -Machine Learning -Image Processing -Pattern Recognition

  • 4 years and 1 month, Jul 2011 - Jul 2015

    Information technology

    NIT Kurukshetra

    Grade: 7.47 - Focus Areas- -Database and Management Systems -Probability & Statistics -Mathematics -Core Java

Languages

  • German

    Intermediate

  • English

    Fluent

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