Hello! I'm Nutakki
As a natural born go-getter, my passion has continuously driven me to expand my knowledge, experience, and relationships. With a strong background and diverse skill set, I’m confident in the creative ideas and successful solutions I bring to the table. Keep exploring my site to learn more information about me.
Pradeep Chakravarthi Nutakki (M.Sc.)
Systems Engineer | Data Scientist | Machine Learning Engineer | Data Analyst | Mechanical Engineer
Phone: (+49) 176 6060 6607
Address: Steinhammerstraße 85, 44379, Dortmund, Germany.
(I can relocate to any place)
Willingness to travel: 20-30%
Languages Known: English, German, Hindi, Telugu (Mother Tongue)
Date of Birth: 17.11.1995
EXPERIENCE
May 2019 - Sept 2020
Logistics Optimization - Predicting Rigid Body Movements Using Dual QuaternionRecurrent Neural Networks (CGPA 1.7)
Machine Learning - Master Thesis
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Developed a novel architecture to optimize goods transportation on an Automated Logistic Machine to forecast the 3D body pose estimation (position and orientation) in future timesteps.
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Trained Machine learning algorithms like Dual Quaternion RNNs while using python-based Machine Learning libraries such as Pytorch, Scikit-Learn, Numpy, Pandas, Matplotlib, Imageio.
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Extended the applications to predict the movements of large data parcels (poses including positions and orientations) in lower computational time of Discrete Element Method (DEM) simulation during transportation to enhance production flow.
Aug 2019 - June 2020
Data Analyst - Research Assistant
Data Cleaning, Data Processing, Feature Engineering under a German Company
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Development of a data-based pattern recognition using python programming for industrial peeling machines through automated data analysis and visualization at different working points in a team.
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To analyze wear & tear of the cutting tool during steel bars production by reducing the manufacturing downtime.
Oct 2015
Industrial Training
Vishakhapatnam Steel Plant, Vishakhapatnam, India.
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Trained on the formation of steel bars from its raw metal by using moldings methods in the foundry department.
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Trained in finishing of steel bars using Lathe machines, along with moldings, extrusions, and other processes in obtaining steel bars.
May 2021 - Present
Development of a data-based predictive maintenance of a rotary lobe pump
Machine Learning Engineer,
KD Pumpen, Dortmund. Germany.
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Data acquisition and experiments on various sensors using micro-controllers such as Raspberry Pi 3B, Pico & Arduino Nano for a rotary lobe pump.
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Creation of data prototypes, supervision of test series for data collection, analysis, and validation.
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Design and development of the experimental setup for analysis of various sensors that are required for the pump.
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Testing the sensors and optimizing the results through Micropython, Python programming in Thonny & Spyder platforms along with the C/C++ programming in Arduino IDE platform.
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Future scope in the implementation of machine learning techniques using the pump datasets.
May 2019 - Sept 2020
Logistics Optimization - Predicting Rigid Body Movements Using Dual QuaternionRecurrent Neural Networks (CGPA 1.7)
Machine Learning - Master Thesis,
FHSWF, Soest, Germany.
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Developed a novel architecture to optimize goods transportation on an Automated Logistic Machine to forecast the 3D body pose estimation (position and orientation) in future timesteps.
-
Trained Machine learning algorithms like Dual Quaternion RNNs while using python-based Machine Learning libraries such as Pytorch, Scikit-Learn, Numpy, Pandas, Matplotlib, Imageio.
-
Extended the applications to predict the movements of large data parcels (poses including positions and orientations) in lower computational time of Discrete Element Method (DEM) simulation during transportation to enhance production flow.
Aug 2019 - June 2020
Data Analyst - Research Assistant,
FHSWF, Soest, Germany.
Data Cleaning, Data Processing, Feature Engineering under a German Company
-
Development of a data-based pattern recognition using python programming for industrial peeling machines through automated data analysis and visualization at different working points in a team.
-
To analyze wear & tear of the cutting tool during steel bars production by reducing the manufacturing downtime.
Oct 2015
Industrial Training,
Rashtriya Ispat Nigam, Vizag,India.
Vishakhapatnam Steel Plant, Vishakhapatnam, India.
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Trained on the formation of steel bars from its raw metal by using moldings methods in the foundry department.
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Trained in finishing of steel bars using Lathe machines, along with moldings, extrusions, and other processes in obtaining steel bars.
May 2015
Internship Training,
TVS Training and Services Limited,
Chennai, India
TVS Training and Services Private Limited, Chennai
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Practical training on assembly and disassembly of IC engine parts at TVS Motors.
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Advanced knowledge of several parts of TVS Motors and its technical performance.
PROJECTS
July 2020
Machine Learning
Covid19 Future prediction of confirmed cases by Long Short Term Memory (LSTM)
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The analysis of Covid19 confirmed cases data from previous months and trained using LSTM techniques through python programming.
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The approximate prediction in the increase of future worldwide confirmed covid19 cases, although the available data from the source were limited.
Nov 2018-Feb 2019
Machine Learning
Motion Control of Peristaltic Sorting Machine by Reinforcement Learning
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To achieve best tractability movement of a parcel on a conveyer belt places it to the right destination
box. -
The implementation of machine learning techniques such as Reinforcement Learning (RL) through python programming to choose the best path to approach target by parcel.
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The RL algorithms like Actor-Critic were developed to enhance the analysis of parcel’s motion control in sorting to the desired target.
Aug 2016-April 2017
Bachelor Thesis
Mechanical Motion of Solar Tracker
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Lead a team of five members for designing a mechanical device as to convert the solar energy into electrical energy.
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A solar panel was mounted on a geared steel framework along with a sensor which aids in the rotation of the panel along the direction of sun.
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Power consumption analysis and comparison with the case of a non-geared panel.
Nov 2015 - Aug 2016
Bachelor Term Paper
Optimization of Boilers in KCP Sugars and Industries.
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Lead a team of five members to analysis the boilers for enhancing its efficiency to improve energy production in the power plant.
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A solar panel was mounted on a geared steel framework along with a sensor which aids in the rotation of the panel along the direction of sun.
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Suggested insulation techniques to use bagasse along with cotton which is available at nearby fields as an insulator to pipes and boilers to reduce loss of energy and suitable fast production system.
for more projects
FUNCTIONAL SKILLS
Programming Skills :
Micropython, Python Tableau, C/C++, CNC, MATLAB & Simulink
Programming Platforms :
Thonny, Arduino IDE, Spyder, Jupyter Notebook, Anaconda.
Microcontrollers:
Raspberry Pi 3B, Raspberry Pi Pico, RS422/485, Arduino Nano.
Design Software Skills :
Auto CAD 2D&3D, NX -design, PRO – E, CATIA.
Cloud Services :
AWS (Amazon Web Services)
MS Office skills :
Excel, MS Word, Power Point, MS Project, Microsoft SQL, Microsoft Power BI.
Operating Systems :
Windows (CPU,GPU) and Linux (Ubuntu).
Python Libraries & Frameworks :
PyTorch, Keras, Scikit-Learn, Numpy, Pandas, Matplotlib, TensorFlow, Open CV.
Management Skills :
Project Management, Lean Six Sigma Green Belt & Production Optimization, Analysis.
TECHNICAL CERTIFICATIONS
July 2018
Fachhochschule Südwestfalen
Multi Body Simulation and application of MSC. Adams/Car
April 2017
SIEMENS
NX design, Synchronous and Parametric Design Modelling
March 2017
SIEMENS
NX design, Essentials for NX designers
June 2016
PRO-E (Modelling, Assembly & Drafting)
Micro, Small & Medium Enterprises (MSME)
May 2016
AutoCAD (2D &3D Modelling)
Micro, Small & Medium Enterprises (MSME)
May 2016
CNC programming (Milling &Turning)
Micro, Small & Medium Enterprises (MSME)
MECHANICAL CERTIFICATIONS
EDUCATION
April 2018 - Sept 2020
Master of Science
Fachhochschule Südwestfalen
Germany
Systems Engineering & Engineering Management (CGPA 2.1)
Focus areas: Machine Learning, Advanced Production & Control, and International Project Management.
April 2013 - April 2017
Bachelor of Technology
Velagapudi Ramakrishna Siddhartha Eng. College
JNTUK University, India
Mechanical Engineering (CGPA 1.5)
Focus areas: Production Engineering, Design of Machine Elements, Engineering Management, Operational Research, Engineering Mathematics.
Oct 2020
Participation in Machine Learning Challenge
SRM, AARUUSH 2020
Feb 2017
Indian National Army
Certified Level C - A grade in National Cadet Corps (NCC)
March 2014
Indian Social Service
Blood donated & volunteered in National Social Service (NSS) camp
