Ekaansh Khosla

Praktikum, Project on Applied AI, FAPS - Institute for Factory Automation and Production Systems

Student, Data Science, Major in AI/ML, FAU Erlangen-Nürnberg

Erlangen, Deutschland

Über mich

I am doing my Master's in Data Science from FAU Erlangen and have done bachelor's in Computer Science and Engineering from IIT ISM Dhanbad. I have a diverse background in Data Science - starting from data collection, data prepration, data analysis, choosing a suitable machine learning model and making predictions, publishing my research and deploying it for end users. I have a strong Python programming skills and have worked with pandas, scipy, numpy, matplotlib, and/or plotly, as well as basic concepts like optimization and parallelization of Python code. I also have implemented and evaluated machine learning models with tools like scikit-learn, tensorflow/keras, XGboost, pytorch. I have also worked with Data Visualization tools like Tableau and Power BI. In addition to this I have an excellent knowledge in SQL and Redis. I can also work well with Office 365 (Word, Powerpoint, Excel and other applications). Please feel free to get in touch to chat about potential opportunities.

Fähigkeiten und Kenntnisse

Python
PyTorch
Optuna
OpenCV
sklearn
NumPy
Matplotlib
scipy
plotly
Power BI
SQL
Excel
Pandas
Selenium
beautifulsoup
TensorFlow
NLTK
Java
Android Development
statsmodels
Keras
C++
Git
GitHub
Docker
AWS
Google Cloud Platform
Azure
Tableau

Werdegang

Berufserfahrung von Ekaansh Khosla

  • Bis heute 8 Monate, seit Nov. 2023

    Data Analyst - Medical Equipment Complaints Management

    Siemens Healthineers

    - Executed ETL operations on Complaints data for dashboard creation and trend analysis. - Technical Skills: Power BI, SQL, Excel

  • Bis heute 9 Monate, seit Okt. 2023

    Project on Applied AI

    FAPS - Institute for Factory Automation and Production Systems

    - Investigating the potential of Stable Diffusion in improving class imbalances by generating augmented images. - Performed multi-label classification on a linear winding dataset for defect detection, achieving F1-score of 0.88. - Technical Skills: Python, PyTorch, Optuna

  • Bis heute 9 Monate, seit Okt. 2023

    Project Computer Vision

    FAU Erlangen Nürnberg

    - Working on classifying driver behavior (e.g., texting, drinking, operating radio etc) using dashboard camera images. - Implemented selective search for object detection, Developed a face recognition system, Analyzed text similarities, Generated RGB images from raw sensor data and Calculated box dimensions with 3D point clouds. - Technical Skills: Python, OpenCV, Sklearn, Numpy, Matplotlib, Scipy, Plotly

  • 9 Monate, Juli 2022 - März 2023

    Data Analyst - Digital marketing

    Siemens Healthineers

    - Analyzed invitations and attendees data, found that personalized emails are 7.3 times more effective than automated ones. - Developed a prototype to clean existing Indian hospitals and diagnostic centers data by web scraping Google results. - Technical Skills: Python, Pandas, Selenium, BeautifulSoup, Excel, Power BI

  • 1 Jahr und 7 Monate, Juni 2019 - Dez. 2020

    Junior Data Scientist

    Samsung

    - Enhanced Bixby’s hate-speech detection with a text classifier, boosting F1 score by 15% through LSTM and Word2Vec. - Developed prototype to recommend apps on Galaxy Store India based on content and collaborative based filtering. - Managed and updated Galaxy Store India app codebase, resolving upgrade issues and adding multilingual support - Technical Skills: TensorFlow, Python, NLTK, Matplotlib, Pandas, Scikit-learn, Scipy, Java, Android Development

  • 1 Jahr und 10 Monate, Juli 2017 - Apr. 2019

    Research Assistant - Machine Learning/Data science

    IIT Dhanbad

    - Created a CNN-based image classifier to identify Chronic myeloid leukemia phases with a 0.916 recall. - Developed a Seasonal ARIMA model for predicting fruit and vegetable prices in Bangalore, achieving a RMSE of Rs 5.9. - Technical Skills: Python, Pandas, Statsmodels, Keras, Tensorflow, Scikit-learn, Matplotlib, Numpy

  • 3 Monate, Mai 2018 - Juli 2018

    Data Science

    Samsung

    - Developed a predictive cooling system for Samsung smartphones, forecasting device temperature with a 1.17 degree Celsius RMSE. - Techincal Skills: Python, Scikit-learn, Scipy, Matplotlib, Pandas

Ausbildung von Ekaansh Khosla

  • Bis heute 2 Jahre und 9 Monate, seit Okt. 2021

    Data Science, Major in AI/ML

    FAU Erlangen-Nürnberg

  • 4 Jahre und 11 Monate, Juli 2014 - Mai 2019

    Computer Science

    IIT ISM Dhanbad

Sprachen

  • Englisch

    Muttersprache

  • Deutsch

    Grundlagen

Interessen

Running
Travel
Swimming
Cooking

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