Adwait Rangnekar is an undergraduate student at SIES Graduate School of Technology majoring in Information Technology. He has experience with projects involving banking interfaces, food delivery services, and automata theory. His skills include programming languages like Python, Java, and C/C++ as well as software like MySQL, AutoCAD, and Xilinx.
Hello, I am Nikhil Kulkarni, studying computer engineering from Pune Institute of Computer Technology, Pune. It is my resume which was made in my 4th semester of engineering.
Hello, I am Nikhil Kulkarni, studying computer engineering from Pune Institute of Computer Technology, Pune. It is my resume which was made in my 4th semester of engineering.
Data Science enthusiast, performing data analysis and predictive modelling using various machine learning algorithms. Sound knowledge of statistics used to gather insights from data and making data driven decisions.
Data Science enthusiast, performing data analysis and predictive modelling using various machine learning algorithms. Sound knowledge of statistics used to gather insights from data and making data driven decisions.
Data science for digital culture improvement in higher education using K-mean...IJECEIAES
This study aims to investigate the meaningful pattern that can be used to improve digital culture in higher education based on parameters of the technology acceptance model (TAM). The methodology used is the data mining technique with K-means algorithm and text analytics. The experiment using questionnaire data with 2887 respondents in Universitas Islam Negeri (UIN) Sunan Gunung Djati Bandung. The data analysis and clustering result show that the perceived usefulness and behavioral intention to use information systems are above the normal value, while the perceived ease of use and actual system use is quite low. Strengthened with text analytics, this research found that the EDA and K-means result in harmony with the hope or desire of academic society the information system implementation. This research also found how important the socialization and guidance of information systems, especially the new one information system, in order to improve digital culture in higher education.
Saudi Arabia stands as a titan in the global energy landscape, renowned for its abundant oil and gas resources. It's the largest exporter of petroleum and holds some of the world's most significant reserves. Let's delve into the top 10 oil and gas projects shaping Saudi Arabia's energy future in 2024.
Hybrid optimization of pumped hydro system and solar- Engr. Abdul-Azeez.pdffxintegritypublishin
Advancements in technology unveil a myriad of electrical and electronic breakthroughs geared towards efficiently harnessing limited resources to meet human energy demands. The optimization of hybrid solar PV panels and pumped hydro energy supply systems plays a pivotal role in utilizing natural resources effectively. This initiative not only benefits humanity but also fosters environmental sustainability. The study investigated the design optimization of these hybrid systems, focusing on understanding solar radiation patterns, identifying geographical influences on solar radiation, formulating a mathematical model for system optimization, and determining the optimal configuration of PV panels and pumped hydro storage. Through a comparative analysis approach and eight weeks of data collection, the study addressed key research questions related to solar radiation patterns and optimal system design. The findings highlighted regions with heightened solar radiation levels, showcasing substantial potential for power generation and emphasizing the system's efficiency. Optimizing system design significantly boosted power generation, promoted renewable energy utilization, and enhanced energy storage capacity. The study underscored the benefits of optimizing hybrid solar PV panels and pumped hydro energy supply systems for sustainable energy usage. Optimizing the design of solar PV panels and pumped hydro energy supply systems as examined across diverse climatic conditions in a developing country, not only enhances power generation but also improves the integration of renewable energy sources and boosts energy storage capacities, particularly beneficial for less economically prosperous regions. Additionally, the study provides valuable insights for advancing energy research in economically viable areas. Recommendations included conducting site-specific assessments, utilizing advanced modeling tools, implementing regular maintenance protocols, and enhancing communication among system components.
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The Internet of Things (IoT) is a revolutionary concept that connects everyday objects and devices to the internet, enabling them to communicate, collect, and exchange data. Imagine a world where your refrigerator notifies you when you’re running low on groceries, or streetlights adjust their brightness based on traffic patterns – that’s the power of IoT. In essence, IoT transforms ordinary objects into smart, interconnected devices, creating a network of endless possibilities.
Here is a blog on the role of electrical and electronics engineers in IOT. Let's dig in!!!!
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NUMERICAL SIMULATIONS OF HEAT AND MASS TRANSFER IN CONDENSING HEAT EXCHANGERS...ssuser7dcef0
Power plants release a large amount of water vapor into the
atmosphere through the stack. The flue gas can be a potential
source for obtaining much needed cooling water for a power
plant. If a power plant could recover and reuse a portion of this
moisture, it could reduce its total cooling water intake
requirement. One of the most practical way to recover water
from flue gas is to use a condensing heat exchanger. The power
plant could also recover latent heat due to condensation as well
as sensible heat due to lowering the flue gas exit temperature.
Additionally, harmful acids released from the stack can be
reduced in a condensing heat exchanger by acid condensation. reduced in a condensing heat exchanger by acid condensation.
Condensation of vapors in flue gas is a complicated
phenomenon since heat and mass transfer of water vapor and
various acids simultaneously occur in the presence of noncondensable
gases such as nitrogen and oxygen. Design of a
condenser depends on the knowledge and understanding of the
heat and mass transfer processes. A computer program for
numerical simulations of water (H2O) and sulfuric acid (H2SO4)
condensation in a flue gas condensing heat exchanger was
developed using MATLAB. Governing equations based on
mass and energy balances for the system were derived to
predict variables such as flue gas exit temperature, cooling
water outlet temperature, mole fraction and condensation rates
of water and sulfuric acid vapors. The equations were solved
using an iterative solution technique with calculations of heat
and mass transfer coefficients and physical properties.
Sachpazis:Terzaghi Bearing Capacity Estimation in simple terms with Calculati...Dr.Costas Sachpazis
Terzaghi's soil bearing capacity theory, developed by Karl Terzaghi, is a fundamental principle in geotechnical engineering used to determine the bearing capacity of shallow foundations. This theory provides a method to calculate the ultimate bearing capacity of soil, which is the maximum load per unit area that the soil can support without undergoing shear failure. The Calculation HTML Code included.
Sachpazis:Terzaghi Bearing Capacity Estimation in simple terms with Calculati...
Adwaitcvnew
1. |
Adwait Rangnekar
Undergraduate, Information Technology Engineering,
SIES Nerul
B - 203, Norita - Pride Park,
Ghodbunder Road, Thane(W),
400607,India
Mail:
shantaram.adwait17@siesgst.ac.in
LinkedIn:
http://www.linkedin.com/in/a
dwait-rangnekar
GitHub:
https://github.com/adwaitr/
Phone: +91 7045650818
Education SIES Graduate School of Technology, Nerul
Major in Information Technology Aug.‘17 - Jun.‘21 (Expected)
GPA: 8.2/10 (3 Semesters)
G.E.I.S. MH High School, Thane
Higher Secondary Certificate Examination,Class XII May ‘15 - Apr.‘17
Percentage: 73.54%
D.A.V. Public School, Thane
All India Senior School Certificate Examination, Class X April 2015
GPA: 10/10 Percentage : 92.46%
Research
Interests
Economics, Machine Learning, Banking, Artificial Intelligence and Market Speculation.
Publications "Venezuela - A Perennial Problem" Submitted at E-Globuzz Magazine K.J. SIMSR- 2019
"Artificial Intelligence & Future Of Humanity" Submitted at CGTrader Annual Blog - 2019
Awards &
Achievements
Top 20 in School out of 500 enrolled in All India Senior School Certificate Examination, Class
X Examination, 2015.
Top 10 in Branch in SIES GST in University Semester Exams, 2017-18.
Reliance Industries Grey Matter Quiz winner, Nationwide out of 7000+ appearing, 2018.
2. Research
Projects
Advanced Banking Interface
Winter Project, Prof. Seema Redekar, SIES GST, July ‘18 - Nov.‘18
- In collaboration with my peers and under guidance of faculty, devised a banking platform with
Java at front-and and MySQL at back-end as provision.
- Incorporated several key observations as salient features to improve performance such as perceived
visual ease, customer feedback acceptance and data security.
- Applied several Java functions such as Applet, Polymorphism, Swing, Encapsulation & MySQL
functions such as Null set, Primary key, Aggregate Functions.
- Tested various Front-end capabilities on NetBeans to simplify withdrawal and deposit.
- Report submitted to the advising faculty and SIES GST.
Food Aggregator Service
Summer Project, Prof. Vijay Katkar, SIES GST, Feb.‘19 - April.‘19
- In collaboration with my peers and under guidance of faculty, created food aggregator service with
Python as front-and and MySQL as back-end provision.
- Identified several novel features for ease of use and efficient supply management.
- Utilized PyQt as GUI toolkit and LiClipse as Interface IDE.
- Report submitted to the advising faculty and SIES GST.
-
Web Scraping Application in UNIX
Summer Project, Prof. Bushra Shaikh, SIES GST, Feb.‘19 - April.‘19
- Designing a shell script that boosts data extraction and encryption in UNIX.
- Integrated concepts of SED & AWK for text processing and pattern matching.
- Created dedicated and comprehensive detailed structure for data analysis.
Implementing J-FLAP on Automata Theory
Summer Project, Prof. Deepali Gawali, SIES GST, March‘19
- Implemented J-FLAP on formal languages and Automata Theory.
- Tested conversion of Deterministic and Non-Deterministic Automata within Regular Grammar.
- Incorporated Turing Machine, Mealy Machine and Moore Machine application.
- Experimented with Parsing , Pushdown Automata and L-Systems.
3. Computer
Skills
Languages: Python, Java, C/C++ , SCILAB/MATLAB, HTML.
Software: MySQL, AutoCAD, Xilinx.
Relevant
Coursework
Mathematics: Linear Algebra, Probability and Statistics, Mathematics of Data, Calculus.
Computer Science: Object Oriented Programming , Automata Theory, Network
Architecture, Data Structures, Organizational Architecture.
Data Science: Database Management, Information Retrieval, Analytical Programming.
Voluntary
Work
IETE TECHXTER FEST
Marketing Volunteer, SIES GST, Jan.‘19 - March.‘19
- In a team of 10, organized a 2-day Paper and Project presentation program on behalf of SIES GST.
- Handled Marketing communication and Vendor relation for the fest.
- Organized Inter-College competitive atmosphere in the Information Technology space.
Hobbies Training Data Sets, Hackathons andKaggleChallenges .
Engaging in Philosophical conversations and discussions on History, Politics and Economics.
Algorithmic Trading, Market Dynamics and Monetary Policies.
Football, Routine Gymming, Chess and Badminton.