preksha gampa

Bis 2023, Data Scientist (Master Thesis), Mercedes-Benz Mobility AG

Studentin, Automotive Software Engineering, TU Chemnitz

Stuttgart, Deutschland

Fähigkeiten und Kenntnisse

MS Office
Microsoft Word
Python
R
Python NumPy
Python pandas
TensorFlow
Keras
Tableau Software
PySpark
Big Data
Data Science
SQL
Machine Learning
Deep learning
Data Analysis
Natural Language Processing
Cash Flow
C
Artificial intelligence
Project Management
Creativity
Communication Skills
HTML
CSS
Microsoft Azure
Databricks
Palantir Foundry

Werdegang

Berufserfahrung von preksha gampa

  • 6 Monate, Apr. 2023 - Sep. 2023

    Data Scientist (Master Thesis)

    Mercedes-Benz Mobility AG

    • Title: Time Series Forecasting of Cashflow Data using Deep Learning Models • Focus: LSTM, CNN, Empirical Mode Decomposition, Data Augmentation.

  • 9 Monate, Juli 2022 - März 2023

    Data Scientist

    Mercedes-Benz Mobility AG

    • Development and optimization of Machine Learning models with exploratory data analysis and feature engineering. • Developed a comprehensive backtesting framework for Machine Learning models. • Scaling myCashflow application engine to adapt to new markets. • Creation, testing, and delivery of monthly rolling forecasts.

  • 2 Monate, Juni 2019 - Juli 2019

    Intern in ICT

    Research Centre Imarat (DRDO – RCI), Hyderabad, India

  • 2 Monate, Sep. 2018 - Okt. 2018

    Project Management Intern

    Aanya services and More, Hyderabad, India

  • 6 Monate, Jan. 2018 - Juni 2018

    Web and Application Development Intern

    Aanya services and More, Hyderabad, India

Ausbildung von preksha gampa

  • Bis heute 3 Jahre und 7 Monate, seit Nov. 2020

    Automotive Software Engineering

    TU Chemnitz

  • 4 Jahre und 2 Monate, Aug. 2016 - Sep. 2020

    Electronics and Communication Engineering

    Gokaraju Rangaraju Institute of Engineering and Technology

Sprachen

  • Englisch

    Fließend

  • Deutsch

    Grundlagen

  • Hindi

    Fließend

  • Telugu

    Muttersprache

Interessen

Travel
Cooking
Music

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