Researcher/ Data Analyst

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ID : 1250

Education level : Doctorate degree

Work experience level : Expert- (more than year 7)

Work experience in total : Years

Job type : Online

Job time : Maandelijks

Last date of registration :

2022-12-12

Seeking professional enrichment opportunities to utilize skills and abilities that offer professional & organizational growth, while being resourceful & innovative. Meticulous & analytical Researcher with 11 years of educational and hands-on experience in advance algorithms and data analysis. Adaptive team player with good knowledge of Data Collection, Data Processing, Data Mining, Data visualization, Predictive Modelling Algorithms, confidential document control and problem- solving ability.

Researcher, Freelancer & Academician - KLS Gogte Institute of Technology - (August 2011 - Present)

Performed research into study topics to increase knowledge and to provide valuable contributions.
Worked on various use-cases from Kaggle to scrape, clean & analyse large data sets and visualize them to find the correlations and insights
worked on machine learning applications and quickly determined application viability.
Studied new technologies to support machine learning applications.
Analysed and interpreted data for patterns and trends.
Developed graphic visualization concepts to map and simplify analysis of heavily numeric data and reports.
Used statistical methods to analyse data and generate useful reports.
Tested data prediction algorithms based on historical data.
Synthesized complex analytics-derived insights into easy-to-understand, actionable recommendations.
Upheld security and confidentiality of documents & data within area of responsibility.
Worked on a use-case from Kaggle to create a machine learning model with python and scikit-learn to predict the electrical energy demand for a city
Worked on a use-case to create a machine learning model predict the optimal location and size of a DG in a distributed network.
Worked on various data visualization tools such as Google data studio and power BI
Worked on various algorithms for prediction and optimization such as Particle swarm optimization, Genetic algorithm, Perturbation & observation, Fuzzy logic, Regression & Classification models, etc for various applications
Working on various Data sets from GitHub and Kaggle to perform data processing, data analysis task and further create predictive models using ML tools
Well versed using google colab and jupyter notebook for data analytics, EDA and ML
Awarded with a research grant of 10 lakhs under VTU research grant scheme
Awarded with research grant from Karnataka state counsel science and technology for a research project on non-invasive method of diabetic prediction
Presented and published 8 technical papers in various international conferences and journals
Headed the electrical maintenance section at KLS-GIT from 2016-18 and was responsible for installation, operation and maintenance of electrical systems at KLS-GIT, belagavi
Currently a member of board of studies (BoS) at E&E department, KLS-GIT, belagavi

Python
Google Data Studio
MicrosoftPowerBI
SQL
Microsoft Office
Matlab & Simulink

Data Analysis with Python provided by IBM: A course on cognitiveclass.ai Powered by IBM Developer Skills Network.
- 2022 September
Data Science Methodology Issued by Cognitive Class provided by IBM) A course on cognitiveclass.ai Powered by IBM Developer Skills Network.
- 2022 September
Machine Learning with Python Issued by Cognitive Class Powered by IBM Developer Skills Network.
- 2022 September
Data Science Tools Issued by Cognitive Class Powered by IBM Developer Skills Network.
- 2022 September
Data analysis corporate training by Jobaaj Learning.
- 2022 August
Python (Basics) by HackerRank,
- 2022 August
Research Publications:
- Rahul Suryavanshi, D. R. Joshi, S. H. Jangamshetti, “PSO and P&O based MPPT technique for SPV panel under varying atmospheric conditions” IEEE International Conference on Power, signals, control & computation (EPSCICON), 2012. DOI:10.1109/EPSCICON.2012.6175270
- Rahul G. Suryavanshiu, Sonal R. Suryavanshi, Diwakar R. Joshi, Rudresh B. Magadum,"Maximum power point tracking of SPV at varying atmospheric condition using Genetic Algorithm", IEEE International Conference on Energy Systems & Applications- 2015, pp. 415-419, 2015.
- Sonal Suryavanshi, Rahul Suryavanshi, SabaFatim, “Image Reconstruction Using Generalized Hebbain Algorithm”, International Journal on Emerging Technologies (Special Issue on NCRIET- 2015) pp-6(2): 68-71(2015), ISSN: 2249-3255.
- Rahul G. Suryavanshiu, Sonal R. Suryavanshi, Balwant Patil, "Fully Automatic All in One Solar Street Light for Smart Cities in INDIA", International Journal of Emerging Technologies & Innovative Research (JETIR), ISSN:2349-5162
- Rahul Suryavanshi, Badrinath Kulkarni, Devaji Patil, “IoT based EV charging station for confronting duck curve” IEEE international conference International Conference on Computational Techniques, Electronics and Mechanical Systems (CTEMS), Dec,21-23, 2018. DOI: 10.1109/CTEMS.2018.8769145
- Rahul G. Suryavanshi, Irana Korachagaon,” Review and Comparison of Principles, Guidelines, and Standards of Large-scale Distributed Grid based Photovoltaic Generation Systems”, Journal of Advanced Research in Dynamical and Control Systems, Volume 11, Special Issue-05, Pages: 1471-1478. (SCOPUS index Journal)
- Rahul Suryavanshi, Badrinath Kulkarni, Devaji Patil, sourabh kulkarni, sonal Suryavanshi, “A case study of 450kW roof top solar PV plant at KLS Gogte institute of technology belgaum, karnataka”, IEEE international conference for innovation in technology (INOCON-2020), Bangalore, India.
- Rahul Suryavanshi, Rudresh B. Magadum, Sonal Patil,” Review on Different Methods for Optimal Location and Sizing of Distributed Generation”, Elsevier conference proceeding of advanced technologies in electrical and electronics, GIT, Belgaum. ISBN:978-93-5107-249-2, pp
  143-147.

Python, Google Data Studio, Microsoft PowerBI, SQL, Microsoft Office, Matlab & Simulink

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