Karan Gupta is pursuing a career as an analyst with a Bachelor's degree in Electrical Engineering and a Micro Masters in Business Analytics. He has work experience as a system engineer, data scientist intern, and associate trainee where he developed various data-driven projects. His skills include programming, data analysis techniques, and communication and he has published research on enhancing data mining and business intelligence through natural language processing and independent component analysis.
I am a passionate and hardworking student currently pursuing my Bachelor's degree in Information Technology. My areas of Interest include Software Development, Data Structures and Algorithms, Machine Learning. I am open for full-time Job Opportunities.
I also love creative writing, public speaking, community service and sports.
Artificial intelligence has been a buzz word that is impacting every industry in the world. With the rise of such advanced technology, there will be always a question regarding its impact on our social life, environment and economy thus impacting all efforts exerted towards sustainable development. In the information era, enormous amounts of data have become available on hand to decision makers. Big data refers to datasets that are not only big, but also high in variety and velocity, which makes them difficult to handle using traditional tools and techniques. Due to the rapid growth of such data, solutions need to be studied and provided in order to handle and extract value and knowledge from these datasets for different industries and business operations. Numerous use cases have shown that AI can ensure an effective supply of information to citizens, users and customers in times of crisis. This paper aims to analyse some of the different methods and scenario which can be applied to AI and big data, as well as the opportunities provided by the application in various business operations and crisis management domains.
I like to take up new roles lead the team and play with data.I have turned my day to day passion to new role and I am working with Data sets to extract more and more information. I love to recognize pattern's in data and this is what I do very passionately.
Continuous Improvement through Data Science From Products to Systems Beyond C...ijtsrd
The field of data science has become integral to the evolution of industries and technological advancements. This abstract explores the multifaceted role of data scientists in various domains, encompassing product and services development as well as specialized areas like Cyber Physical Systems. In product based companies, data scientists drive innovation by enhancing user experiences, optimizing costs, ensuring connectivity, and refining communication strategies. Leveraging machine learning models, they contribute to personalized interfaces, predictive maintenance, and efficient resource allocation, ultimately influencing the success of products in competitive markets. In services based companies, data scientists play a vital role in improving user interactions, optimizing operational costs, ensuring connectivity, and refining communication strategies. Through predictive analytics, they enable proactive service maintenance, improve resource allocation, and drive continuous improvement in service delivery. Within the context of Industry 4.0, data scientists contribute to the seamless integration of physical and digital systems. They monitor and analyze real time data from sensors, predict equipment failures, optimize system performance, and ensure the security of interconnected systems, fostering efficiency and reliability. Throughout these applications, data scientists operate at the nexus of technology, statistics, and domain expertise. Their responsibilities include data collection, preprocessing, model development, integration, and continuous improvement. Collaboration with cross functional teams ensures that data driven solutions align with organizational goals, fostering a holistic approach to problem solving. As the field of data science continues to evolve, data scientists remain pivotal in unlocking the potential of data to address complex challenges, drive innovation, and contribute to the ongoing transformation of industries and societies. Their role extends beyond analytical expertise, encompassing interdisciplinary collaboration skills that position them as essential contributors to the dynamic landscape of data driven decision making. Manish Verma "Continuous Improvement through Data Science: From Products to Systems: Beyond ChatGPT" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-7 | Issue-6 , December 2023, URL: https://www.ijtsrd.com/papers/ijtsrd61211.pdf Paper Url: https://www.ijtsrd.com/computer-science/artificial-intelligence/61211/continuous-improvement-through-data-science-from-products-to-systems-beyond-chatgpt/manish-verma
I am a passionate and hardworking student currently pursuing my Bachelor's degree in Information Technology. My areas of Interest include Software Development, Data Structures and Algorithms, Machine Learning. I am open for full-time Job Opportunities.
I also love creative writing, public speaking, community service and sports.
Artificial intelligence has been a buzz word that is impacting every industry in the world. With the rise of such advanced technology, there will be always a question regarding its impact on our social life, environment and economy thus impacting all efforts exerted towards sustainable development. In the information era, enormous amounts of data have become available on hand to decision makers. Big data refers to datasets that are not only big, but also high in variety and velocity, which makes them difficult to handle using traditional tools and techniques. Due to the rapid growth of such data, solutions need to be studied and provided in order to handle and extract value and knowledge from these datasets for different industries and business operations. Numerous use cases have shown that AI can ensure an effective supply of information to citizens, users and customers in times of crisis. This paper aims to analyse some of the different methods and scenario which can be applied to AI and big data, as well as the opportunities provided by the application in various business operations and crisis management domains.
I like to take up new roles lead the team and play with data.I have turned my day to day passion to new role and I am working with Data sets to extract more and more information. I love to recognize pattern's in data and this is what I do very passionately.
Continuous Improvement through Data Science From Products to Systems Beyond C...ijtsrd
The field of data science has become integral to the evolution of industries and technological advancements. This abstract explores the multifaceted role of data scientists in various domains, encompassing product and services development as well as specialized areas like Cyber Physical Systems. In product based companies, data scientists drive innovation by enhancing user experiences, optimizing costs, ensuring connectivity, and refining communication strategies. Leveraging machine learning models, they contribute to personalized interfaces, predictive maintenance, and efficient resource allocation, ultimately influencing the success of products in competitive markets. In services based companies, data scientists play a vital role in improving user interactions, optimizing operational costs, ensuring connectivity, and refining communication strategies. Through predictive analytics, they enable proactive service maintenance, improve resource allocation, and drive continuous improvement in service delivery. Within the context of Industry 4.0, data scientists contribute to the seamless integration of physical and digital systems. They monitor and analyze real time data from sensors, predict equipment failures, optimize system performance, and ensure the security of interconnected systems, fostering efficiency and reliability. Throughout these applications, data scientists operate at the nexus of technology, statistics, and domain expertise. Their responsibilities include data collection, preprocessing, model development, integration, and continuous improvement. Collaboration with cross functional teams ensures that data driven solutions align with organizational goals, fostering a holistic approach to problem solving. As the field of data science continues to evolve, data scientists remain pivotal in unlocking the potential of data to address complex challenges, drive innovation, and contribute to the ongoing transformation of industries and societies. Their role extends beyond analytical expertise, encompassing interdisciplinary collaboration skills that position them as essential contributors to the dynamic landscape of data driven decision making. Manish Verma "Continuous Improvement through Data Science: From Products to Systems: Beyond ChatGPT" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-7 | Issue-6 , December 2023, URL: https://www.ijtsrd.com/papers/ijtsrd61211.pdf Paper Url: https://www.ijtsrd.com/computer-science/artificial-intelligence/61211/continuous-improvement-through-data-science-from-products-to-systems-beyond-chatgpt/manish-verma
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.
JMeter webinar - integration with InfluxDB and GrafanaRTTS
Watch this recorded webinar about real-time monitoring of application performance. See how to integrate Apache JMeter, the open-source leader in performance testing, with InfluxDB, the open-source time-series database, and Grafana, the open-source analytics and visualization application.
In this webinar, we will review the benefits of leveraging InfluxDB and Grafana when executing load tests and demonstrate how these tools are used to visualize performance metrics.
Length: 30 minutes
Session Overview
-------------------------------------------
During this webinar, we will cover the following topics while demonstrating the integrations of JMeter, InfluxDB and Grafana:
- What out-of-the-box solutions are available for real-time monitoring JMeter tests?
- What are the benefits of integrating InfluxDB and Grafana into the load testing stack?
- Which features are provided by Grafana?
- Demonstration of InfluxDB and Grafana using a practice web application
To view the webinar recording, go to:
https://www.rttsweb.com/jmeter-integration-webinar
LF Energy Webinar: Electrical Grid Modelling and Simulation Through PowSyBl -...DanBrown980551
Do you want to learn how to model and simulate an electrical network from scratch in under an hour?
Then welcome to this PowSyBl workshop, hosted by Rte, the French Transmission System Operator (TSO)!
During the webinar, you will discover the PowSyBl ecosystem as well as handle and study an electrical network through an interactive Python notebook.
PowSyBl is an open source project hosted by LF Energy, which offers a comprehensive set of features for electrical grid modelling and simulation. Among other advanced features, PowSyBl provides:
- A fully editable and extendable library for grid component modelling;
- Visualization tools to display your network;
- Grid simulation tools, such as power flows, security analyses (with or without remedial actions) and sensitivity analyses;
The framework is mostly written in Java, with a Python binding so that Python developers can access PowSyBl functionalities as well.
What you will learn during the webinar:
- For beginners: discover PowSyBl's functionalities through a quick general presentation and the notebook, without needing any expert coding skills;
- For advanced developers: master the skills to efficiently apply PowSyBl functionalities to your real-world scenarios.
Key Trends Shaping the Future of Infrastructure.pdfCheryl Hung
Keynote at DIGIT West Expo, Glasgow on 29 May 2024.
Cheryl Hung, ochery.com
Sr Director, Infrastructure Ecosystem, Arm.
The key trends across hardware, cloud and open-source; exploring how these areas are likely to mature and develop over the short and long-term, and then considering how organisations can position themselves to adapt and thrive.
Essentials of Automations: Optimizing FME Workflows with ParametersSafe Software
Are you looking to streamline your workflows and boost your projects’ efficiency? Do you find yourself searching for ways to add flexibility and control over your FME workflows? If so, you’re in the right place.
Join us for an insightful dive into the world of FME parameters, a critical element in optimizing workflow efficiency. This webinar marks the beginning of our three-part “Essentials of Automation” series. This first webinar is designed to equip you with the knowledge and skills to utilize parameters effectively: enhancing the flexibility, maintainability, and user control of your FME projects.
Here’s what you’ll gain:
- Essentials of FME Parameters: Understand the pivotal role of parameters, including Reader/Writer, Transformer, User, and FME Flow categories. Discover how they are the key to unlocking automation and optimization within your workflows.
- Practical Applications in FME Form: Delve into key user parameter types including choice, connections, and file URLs. Allow users to control how a workflow runs, making your workflows more reusable. Learn to import values and deliver the best user experience for your workflows while enhancing accuracy.
- Optimization Strategies in FME Flow: Explore the creation and strategic deployment of parameters in FME Flow, including the use of deployment and geometry parameters, to maximize workflow efficiency.
- Pro Tips for Success: Gain insights on parameterizing connections and leveraging new features like Conditional Visibility for clarity and simplicity.
We’ll wrap up with a glimpse into future webinars, followed by a Q&A session to address your specific questions surrounding this topic.
Don’t miss this opportunity to elevate your FME expertise and drive your projects to new heights of efficiency.
Neuro-symbolic is not enough, we need neuro-*semantic*Frank van Harmelen
Neuro-symbolic (NeSy) AI is on the rise. However, simply machine learning on just any symbolic structure is not sufficient to really harvest the gains of NeSy. These will only be gained when the symbolic structures have an actual semantics. I give an operational definition of semantics as “predictable inference”.
All of this illustrated with link prediction over knowledge graphs, but the argument is general.
Software Delivery At the Speed of AI: Inflectra Invests In AI-Powered QualityInflectra
In this insightful webinar, Inflectra explores how artificial intelligence (AI) is transforming software development and testing. Discover how AI-powered tools are revolutionizing every stage of the software development lifecycle (SDLC), from design and prototyping to testing, deployment, and monitoring.
Learn about:
• The Future of Testing: How AI is shifting testing towards verification, analysis, and higher-level skills, while reducing repetitive tasks.
• Test Automation: How AI-powered test case generation, optimization, and self-healing tests are making testing more efficient and effective.
• Visual Testing: Explore the emerging capabilities of AI in visual testing and how it's set to revolutionize UI verification.
• Inflectra's AI Solutions: See demonstrations of Inflectra's cutting-edge AI tools like the ChatGPT plugin and Azure Open AI platform, designed to streamline your testing process.
Whether you're a developer, tester, or QA professional, this webinar will give you valuable insights into how AI is shaping the future of software delivery.
UiPath Test Automation using UiPath Test Suite series, part 4DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 4. In this session, we will cover Test Manager overview along with SAP heatmap.
The UiPath Test Manager overview with SAP heatmap webinar offers a concise yet comprehensive exploration of the role of a Test Manager within SAP environments, coupled with the utilization of heatmaps for effective testing strategies.
Participants will gain insights into the responsibilities, challenges, and best practices associated with test management in SAP projects. Additionally, the webinar delves into the significance of heatmaps as a visual aid for identifying testing priorities, areas of risk, and resource allocation within SAP landscapes. Through this session, attendees can expect to enhance their understanding of test management principles while learning practical approaches to optimize testing processes in SAP environments using heatmap visualization techniques
What will you get from this session?
1. Insights into SAP testing best practices
2. Heatmap utilization for testing
3. Optimization of testing processes
4. Demo
Topics covered:
Execution from the test manager
Orchestrator execution result
Defect reporting
SAP heatmap example with demo
Speaker:
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
"Impact of front-end architecture on development cost", Viktor TurskyiFwdays
I have heard many times that architecture is not important for the front-end. Also, many times I have seen how developers implement features on the front-end just following the standard rules for a framework and think that this is enough to successfully launch the project, and then the project fails. How to prevent this and what approach to choose? I have launched dozens of complex projects and during the talk we will analyze which approaches have worked for me and which have not.
Epistemic Interaction - tuning interfaces to provide information for AI supportAlan Dix
Paper presented at SYNERGY workshop at AVI 2024, Genoa, Italy. 3rd June 2024
https://alandix.com/academic/papers/synergy2024-epistemic/
As machine learning integrates deeper into human-computer interactions, the concept of epistemic interaction emerges, aiming to refine these interactions to enhance system adaptability. This approach encourages minor, intentional adjustments in user behaviour to enrich the data available for system learning. This paper introduces epistemic interaction within the context of human-system communication, illustrating how deliberate interaction design can improve system understanding and adaptation. Through concrete examples, we demonstrate the potential of epistemic interaction to significantly advance human-computer interaction by leveraging intuitive human communication strategies to inform system design and functionality, offering a novel pathway for enriching user-system engagements.
Epistemic Interaction - tuning interfaces to provide information for AI support
Latest Updated Resume
1. Page 1 of 3
Karan Gupta
05/2012-08/2016
Murthal
Pursuing
Online
07/13-06/13
08/14-06/14
Career Target: ANALYST
Education
Deen bandhu Chhotu Ram University of Science and Technology
Bachelors Of Technology (Electrical Engineering)
Columbia’s Micro Masters program in Business Analytics
A program endorsed by Bloomberg and explains methods to improve business
performance using data, statistical and quantitative analysis, and explanatory and
predictive modeling to help make actionable decisions.
Relevant Courses
Programming Fundamentals, Computer Programming Lab, Mathematics-I,
Mathematics-II, Engineering Economics, Numerical Methods and Optimization
Techniques, Embedded Systems & Applications, Fuzzy Control System, Computer
Applications to Power System Analysis Lab.
Research Interests
Big data Analytics, Data Visualization, Scalability of data-driven algorithms,
analytics of user demographics, Social media analytics, Healthcare analytics
Industry Preference
Consulting, Technical, Finance
Industrial Training
Siemens Postal Parcel and Airport Logistics Pvt. Ltd., Gurugram, Intern
position
• Acquired an exposure on distribution channel of Airport Logistics and Postal
Parcel Unit.
Marketing Intern, SmartBrains Engineers & Technologist PVT LTD
• Performed market analysis and research on competition
• Assisted with capturing and analyzing social media metrics
Bachelors Degree Independent(self)- Study courses
• edX: The Analytics Edge
• edx: CS 50 Harvard
(+91)9034317959
Contact: karangupta485@gmail.com
2. Page 2 of 3
10/16- Present
10/16-05/16
08/15-05/15
Programming
Software Packages
Research
Communication
Professional Experience
System Engineer and Software Developer, Tata Consultancy Services,
Gurugram, India
• Overseeing all data and business analytics solutions along with other team
members being provided to clients.
• Working on a GUI and UX consistency and compliance tool based on Python
to ensure that the interface meets the web standards, structure and compliance
expectations to avoid possible usability, accessibility and functionality issues.
• Also involved in defining the test cases along with design teams and writing
scripts to execute the same across all web browsers.
Data Scientist Intern at Oracle, India
• Assisted in improving Predictive algorithm techniques that help in proactive
decision.
• Understanding the fundamentals and responsibility of servicing a client.
• Provided market information and financials of different clients.
• Assisted in streamlining processes that saw the two-fold increases in revenue
of the department.
Associate Trainee at National Informatics Centre (NIC), Kurukshetra, India
• Developed a ‘Web-based Waste Management System’ which helped in
reinvigorating the sanitation management in the District of Kurukshetra, India
• Developed an automated touch screen version of the driving license exam to
replace the conventional paper-pencil test.
• Worked on ‘Computerization of Land Records’ to ensure that landowners get
computerized copies of ownership, crop and tenancy and updated copies of
Records of Rights (RORs) on demand.
• Technical skills and competencies
Relevant Skills
C, C++, JavaScript, CSS3, Bootstrap, PHP, SQL, HTML5, R, Hadoop, Python,
OpenGL, XML, Unix/Linux, Machine Learning.
MS Visual Studio 2010, MS SQL Server 2008, MATLAB.
Research Surveys, Experiment Design and Analysis, Contextual Inquiry, Usability
Testing
Personas, Interaction Maps, Storyboarding
Honors and Awards
Top 5% academic achiever- in the Third, Fourth, Fifth, Sixth and Eighth semester
Chancellor’s Recognition Award DCRUST
Research Gem Award – awarded by vice chancellor of DCRUST
Braveheart award – by Gangagaram Hospital New Delhi for amazing recovering
potential exhibited upon the diagnosis of ‘Sensory Peripheral Neuropathy’ – a
debilitating condition that may cause a demoralizing impact on patients.
3. Page 3 of 3
C.04
C.03
C.02
C.01
17-19 December 2015
Bangalore
04-05 February 2016
Bangalore
22-23 June2017
HICC, Hyderabad
Research and Publications
Gupta K. “Enhancing Data Mining Efficiency- Employability Of Apriori Algorithm in
Reducing Memory Consumption To Impact Mining Outcomes.” In International
Journal of Advances in Engineering Research (IJAER) 2018, Vol. No. 15, Issue No. V,
May e-ISSN: 2231-5152/ p-ISSN:2454-1796. LINK:http://ijaer.com/currentissue.php
Gupta K. “Singular Value Decomposition: Employability of Independent Component
Analysis- Topic Detection, Clusters, Latent Semantic Indexing in Enhancing Data
Intelligence Usability.” In International Journal of Innovations in Scientific
Engineering (IJISE) 2018, Vol. No. 7, Jan-Jun e-ISSN: 2454-6402/ p-ISSN:2454-
812X . LINK : http://ijise.in/currentissue.php
Gupta K. “Developing An Integrated Model Using Signal And Speech Processing,
Content and Acoustic Analysis To Enhance The Efficiency of SER using Metrices.”
In International Journal of Innovations in Applied Sciences &Engineering (IJIASE)
2018, Vol. No. 4, Jan-Dec e-ISSN: 2454-9258/ p-ISSN:2454-809X.
LINK : http://ijiase.com/currentissue.php
Gupta K. “Social Networks With Natural Language Processing- Employability of
Key Influencers Lexical, Syntactic and Semantic in Enhancing Business
Intelligence.” In International Journal of Research in Science and Technology
(IJRST) 2018, Vol. No. 8, Issue No. IV, Oct-Dec e-ISSN: 2249-0604/ p-ISSN:2454-
180X.
LINK : http://www.ijrst.com/currentissue.php
Activities
Cultural Fest Coordinator (EngiFest DCRUST- Annual cultural fest of DCRUST)
Represented College in the cultural fest of BITS, Pilani
Conferences and Summits
3rd
International Conference on Business Analytics and Intelligence(BAICONF) at
IIM Bangalore – It featured demonstration of the real-world application of business
analytics and facilitated sharing of knowledge on big data and data analysis.
India Analytics and Big Data Summit 2016 – Satyendra Pasalapud, Oracle ACE
Director discussed issues related to Big data analysis and their solutions
5th
NASSCOM Big Data & Analytics Summit – Different techniques for data
analysis and advances in the field of analysis were discussed. Sundara R Nagalingam,
Head – Deep Learning Practice, NVIDIA Graphics Pvt Ltd., discussed GPU
Accelerated Deep Learning – The path for Tomorrow
