Anand Maurya
Bis 2021, Information Engineering, Kiel University of Applied Sciences
Hamburg, Deutschland
Über mich
M.S. in Information Engineering with a focus in Machine Learning | Deep Learning | Data Science (Grade - 1.89)
Werdegang
Berufserfahrung von Anand Maurya
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
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.
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
Ausbildung von Anand Maurya
4 Jahre und 5 Monate, Nov. 2016 - März 2021
Information Engineering
Kiel University of Applied Sciences
Grade: 1.89 -Focus Areas - -Deep Learning -Machine Learning -Image Processing -Pattern Recognition
4 Jahre und 1 Monat, Juli 2011 - Juli 2015
Information technology
NIT Kurukshetra
Grade: 7.47 - Focus Areas- -Database and Management Systems -Probability & Statistics -Mathematics -Core Java
Sprachen
Deutsch
Gut
Englisch
Fließend