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Vamsee Konikineni

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Last update: 06.09.2022

Research Assistant & Master Thesis, Student assistant | Chair of Modeling and Simulation

Graduation: not provided
Hourly-/Daily rates: show
Languages: German (Native or Bilingual) | English (Limited professional)

Attachments

Vamsee_Krishna_Resume_English.pdf
Vamsee Krishna Konikineni Junior Data Scientist.pdf

Skills

algorithms, sensor, machine learning, data analysis, Kaggle, data cleaning, data visualization, logistic regression, Regression, Decision Tree, Python 3.8-Pandas, Numpy, Scipy, Histogram, Python 3.8, Matplot, pandas, Ansys, Programming, Python, Matplotlib, Scikit-Learn, C ++, Matlab, MySQL, MongoDB, CAD, Autodesk, Inventor, CATIA V5, OpenFoam

Project history

10/2019 - Present
Data Science und Machine Learning Associate Engineer
VitaScale (Industry and mechanical engineering, < 10 employees)

Prädiktive Datenanalyse mit statistischen und maschinellen Lern
Techniken: (Kaggle-Wettbewerb)
Bike-Sharing-Datenanalyse und Datenvorhersage
Data Wrangling, Datenbereinigung und Datenvisualisierung.
Durchführen von Merkmalsanalysen und Bewertung der Merkmalsbedeutung.
Trainieren und Auswerten der Genauigkeit verschiedener ML-Modelle.
Boot Camp Projekte in der prädiktiven Datenanalyse
Datenanalyse mit überwachten Machine-Learning-Algorithmen:
Lineare Regression, logistische Regression.
Radom Forest Regression.
Entscheidungsbaum-Regression.
Verwendete Werkzeuge: Python 3.8-Pandas, Numpy, Matplot, Scipy.
1-Dimention Datenanalyse
Box-Plot - Mittelwert.
Histogramm.
2-Dimention Datenanalyse
Korrelations-Matrix.
Grafischer Plot (G-Plot).
Hypothesentest.
  • Nutzte analytisches und technisches Fachwissen, um Erkenntnisse und Vorschläge zur Unterstützung von Geschäftsverbesserungen.
  • Entwicklung von Algorithmen zur Verfolgung und Erkennung von Anomalien in mehreren Sensor Daten zur Alkoholerkennung.
  • Implementierte verschiedene Zeitreihenvorhersagetechniken zur Vorhersage der Ethanolkonzentration aus den Sensordaten vorherzusagen.
  • Erstellen von Vorhersagemodellen unter Verwendung verschiedener Tools für maschinelles Lernen zur Vorhersag der möglichen Ethanolkonzentration in ppm.


Verwendete Werkzeuge: Python 3.8-Matplot, numpy, ipywidgets, scipy, pandas.


10/2018 - 09/2019
Research Assistant & Master Thesis
Endowed Chair of Turbo machinery department

department
Master thesis on "CFD simulation and turbulent flow field analysis of
Hubless Rim Driven Propeller" (HRDP).
Solid expertise in applied research, design and simulation.
An empirical model of the propeller and duct casing was developed to
determine the velocity and pressure gradients.
A commercial RANS solver is used to analyze the flow behavior in the
wake area.

08/2017 - 01/2018
Student assistant | Chair of Modeling and Simulation
University of Rostock

Rostock
Modeling of a rectangular rotor of a wind turbine with 5m diameter.
Modelling and simulation of different blade profiles.
Generation of a hybrid mesh with Ansys ICEM.
Performance of a CFD simulation to determine the lift and drag
coefficients.
Preparation of the technical documentation and presentation of the
results.

Local Availability

Open to travel worldwide
I prefer to work remotely, but I can plan trips to the company or client if you let me know 1 week in advance.

Other

I am Vamsee Krishna Master's graduate from Germany in Computational Science, I speak English and German fluently and I am looking for a freelance position in Machine Learning-Predictive Analysis, Data Science-Correlation Analysis and Simulation-CFD Analysis Job, I can work remotely and can travel occationaly if needed, please check my resume and cover letter and let me know your requirments.
VG Vamsee Krishna
Profileimage by Vamsee Konikineni Research Assistant & Master Thesis, Student assistant | Chair of Modeling and Simulation from Karlsruhe Research Assistant & Master Thesis, Student assistant | Chair of Modeling and Simulation
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