Research in Data Science
Aayushi Verma | Data Scientist | EdGE Networks Pvt LtdWhat is Research in Data Science?
A Career in Research in Data Science is very interesting. One should first understand What a Career in Research in Data Science entails before investing time and effort to figure out How to start a Career in Research in Data Science. The most authoritative source of information on Research in Data Science is someone with real experience in it.
Data Scientist Aayushi Verma has worked in Research in Data Science for 5 years. Data Scientist Aayushi Verma describes Research in Data Science as:
Research in Data Science, which is a profession, the goal of Data Science research is to build systems and algorithms to extract knowledge, find patterns, generate insights and predictions from diverse data for various applications and visualization.
How Data Scientist Aayushi Verma got into Research in Data Science?
After completing my M Tech in Data Analytics, I joined a start-up in Delhi as a Data Scientist. After that I have worked for few companies as a Data Scientist, in 2018, I joined EdGE Networks Pvt Ltd as Data Scientist. I have also published few Research Papers in Journals like IEEE & Springer.
Data Scientist Aayushi Verma's Talk on Research in Data Science |
|
The Journey of a Data Scientist: Ayushi Verma's Insights on Research in Data Science Ayushi Verma, an experienced data scientist based in Bangalore, shares her journey and passion for research within the dynamic field of data science. With educational credentials that include a B.Tech in Computer Science and a Master's in Data Analytics, Ayushi's career spans roles in reputed organizations and startups. In this article, she highlights the essence of research in data science while discussing her educational background, essential skills, the positives and challenges of her field, and what a typical day looks like for a researcher. What Is Research in Data Science? Research in data science involves a comprehensive process that includes various stages such as data extraction, pre-processing, feature engineering, and exploration of data to uncover valuable insights. According to Ayushi, the goal of this research is to identify hidden patterns and visualize data effectively to address specific business problems. The combination of statistical knowledge and technological tools empowers researchers like Ayushi to translate raw data into meaningful solutions that drive decision-making process. Education A solid foundation in mathematics is paramount for anyone aspiring to excel in research related to data science. Ayushi emphasizes the importance of statistics and mathematical skills, as they are at the core of solving complex data-related challenges. Mastery in these areas enables researchers to analyze data with precision, leading to more accurate conclusions and effective decision-making. To successfully conduct research, one must be proficient in various visualization tools, including MS Excel and Tableau, as highlighted by Ayushi. These tools are essential for representing data in a way that is understandable to stakeholders and facilitates better analyses. Familiarity with these software solutions allows researchers to create impactful visualizations that can effectively convey their findings. Conducting a literature survey is integral to data science research, as Ayushi points out. By examining related work done by peers in the field, researchers can build on existing knowledge and ensure that their contributions are both relevant and innovative. This process not only validates their research approach but also helps identify gaps in knowledge that their work might address. Skills Focus is critical in the world of data science, especially in the context of research. Ayushi asserts that researchers must maintain deep concentration and presence of mind to navigate through complex data effectively. This focus fosters innovative thought processes, which are vital for achieving meaningful results in an often challenging environment. Innovation plays a fundamental role in research, according to Ayushi. Researchers are constantly challenged to provide new solutions or approaches to existing problems. By emphasizing creativity in developing unique algorithms and methodologies, they can offer significant advancements over previous work, showcasing their capability and enhancing the field as a whole. Research is inherently a time-consuming process that demands a great deal of patience. As Ayushi explains, researchers must be prepared to invest significant amounts of time in tasks such as literature reviews, algorithm exploration, and validation of results. This patience can often be the differentiating factor between a successful research endeavor and one that falters. Resilience is key in data science research, especially when faced with setbacks such as inaccurate predictions or suboptimal results. Ayushi emphasizes the importance of a "never give up" attitude, encouraging researchers to persevere through challenges and learn from their failures. This mindset not only helps individuals continue to produce quality work but also fosters a culture of continuous improvement within the research community. Positives Pursuing research in data science can significantly contribute to academic growth, opening doors for advanced degrees such as a Ph.D. Ayushi views this academic path as a way to deepen expertise and credibility in the field, enhancing career prospects and demonstrating commitment to lifelong learning. The satisfaction derived from successful research is immense. Ayushi notes that completing a project, especially one that leads to valuable insights or contributions to society, brings a sense of fulfillment that is deeply rewarding. This satisfaction reinforces one's commitment to the research process and inspires continued engagement in the field. Achieving validation through the publication of research findings is a critical element of success for researchers. According to Ayushi, publishing in reputable journals and presenting at conferences allows researchers to demonstrate the innovation and quality of their work. This recognition not only boosts confidence but also enhances credibility within the academic and professional communities. Challenges One of the most pressing challenges researchers face in data science is the lack of relevant data. Ayushi points out that while data generation is at an all-time high, finding the appropriate data sets for specific research purposes can be difficult. This scarcity can hinder the ability to draw meaningful conclusions and complicate the research process. A frequent obstacle encountered in the research process is the unavailability of related papers. Ayushi expresses the difficulty of navigating uncharted territory where existing literature does not adequately support new inquiries. This lack of foundational work can make it challenging to justify novel contributions and may require researchers to position their work as entirely innovative. A Day Of A typical day for Ayushi as a researcher in data science involves extensive literature reviews and brainstorming innovative solutions to address current problems. Much of her time is spent sifting through academic papers, extracting useful insights, and identifying gaps that her work can fill. Throughout her day, she remains focused on developing algorithms and methods that contribute to the broader field, ensuring her approach is both logical and visually compelling. Ayushi's dedication to this routine reflects her commitment to pushing the boundaries of knowledge in data science. Reflecting on Ayushi Verma's career, it is evident that a journey in data science, particularly in research, is both challenging and rewarding. Her insights emphasize the crucial elements of education, skill development, and the ability to navigate the complexities of this rapidly evolving field. As the demand for data-driven solutions continues to rise, the role of researchers like Ayushi will only become more significant, underlining the essential impact of their work on society and industry alike. | |
Install the LifePage App to:
- (for Free) Watch Data Scientist Aayushi Verma’s full Research in Data Science Career Talk
- ₹ Do a Self Assessment on Research in Data Science to calculate your Dream Index, which is defined as:
According to Aayushi Verma your chances of success in Research in Data Science is __%
- Access your personalized Dream Index Report which will have all your Dream Indices sorted in descending order.
How to get into
Research in Data Science?
If you are want to get into Research in Data Science, start by investing in a Career Plan.
The 14 hour process, guided by a LifePage Career Advisor, will help you introspect and check whether your interest in Research in Data Science is merely an infatuation or is it truly something you wish to do for the rest of your life.
Next, your Career Advisor will help you document how you can get into Research in Data Science, what education and skills you need to succeed in Research in Data Science, and what positives and challenges you will face in Research in Data Science.
Finally, you will get a Career Plan stating which Courses, Certifications, Trainings and other Items you need to do in the next 7 years to become world’s best in Research in Data Science.
LifePage Career Plan
14 hour personalized guidance program
Your LifePage Career Advisor facilitates your guided introspection so that you systematically explore various Career options to arrive at a well thought out Career choice.
Next: your Advisor helps you figure out how you will get into your chosen Career and how will you develop the skills needed for success in your Chosen Career.
LifePage Plan will not stop at saying "to become an Architect study Architecture". It will guide you on which Certifications, Trainings and Other items you need to do along with your Architecture education to become the world's best Architect.
Links for this Talk
LifePage Career Talk on Research in Data Science
[Career]
https://www.lifepage.in/careers/research-in-data-science
[Full Talk]
https://lifepage.app.link/20181130-0009
[Trailer]
https://www.youtube.com/watch?v=s_-h3frvBC8
(Aayushi Verma, Data Scientist, Edge Networks, Research in Data Science, Natural Language Processing, NLP, Artificial Intelligence, Data Analytics, Big Data)
Similar Talks
Decision Management
Kapil Rawat
Business Analyst | G E Corp, Bangalore
Business Analyst | G E Corp, Bangalore
[ 3 years & 2 months Experience ]
Use of computers allows organizations to collect enormous amount of data. Decision Management is tasked with analyzing this data to help take smarter business decisions. These decisions can comprise of anything and everything, like which advertisement to show to a particular user on Facebook or which credit card defaulters to call and when.
"After M A in Economics from JNU, I started my career as a Business Analyst with G E Corp in Bangalore. In my almost two years there I was responsible for making data based collections strategies for two large US retailers with several million defaulting buyers."
|
|
An Actuary is a business professional who deals with the measurement and management of risk and uncertainty. These risks can affect both sides of the balance sheet, and require asset management, liability management, and valuation skills. Actuaries use mathematics, statistics, and financial theory to study uncertain future events, especially those of concern to insurance and pension programs.
"After completing my Masters in Actuarial Studies from University of New South Wales, Australia, I started working as a consultant with Watson Wyatt Worldwide. I have worked with over 20 financial institutions across Europe and Asia. Currently, I am the Founder and CEO of Greenassets.in which I started in 2015 in India. Greenassets.in is a startup where we promote investments which have a positive environmental and social impact."
|
|
Data analysis, also known as analysis of data or data analytics, is a process of inspecting, cleansing, transforming, and modeling data with the goal of discovering useful information, suggesting conclusions, and supporting decision-making.
"After completing my Schooling from Woodstock, I did BA in Political Science from Purdue University. I taught Business English for a year in Budapest. After that I joined Teach for India. I also worked as a Research Associate in IIM, Ahmedabad. I have been working as a Senior Associate at Evaldesign since 2015."
|
|
Planning & Statistics
Dr Manoj Pant
Chief Coordination Officer | Department Of Planning
Chief Coordination Officer | Department Of Planning
[ 25 years Experience ]
Statistics is a branch of mathematics dealing with the collection, analysis, interpretation, presentation, and organization of data. Statistics in indispensable into planning in the modern age which is termed as the age of planning. Almost all over the world the govt. are re-storing to planning for economic development.
"I completed my MSC in Statistics from Lucknow University. I did my PG Diploma in Computer Application. I joined Department of Planning as Chief Coordination Officer."
|
|
Data Science
Rajan Gupta
Analytics Consultant | Various Assignments
Analytics Consultant | Various Assignments
[ 7 years & 4 months Experience ]
Data science is an interdisciplinary field that uses scientific methods, processes, algorithms and systems to extract knowledge and insights from data in various forms, both structured and unstructured, similar to data mining.
"I am a Research & Data Analytics professional, learning new ways to deal with various business and research problems through technological and analytical tools. With the help of past experiences and academic exposure, following are the highlights of current capabilities. I have a substantial experience of working on research & analytics projects in the area of Information Systems, E-Governance and Public Schemes Assessment. I have working knowledge of application of various data science concepts through statistical techniques, operation research & optimization, data mining and machine learning across multiple industries (healthcare, retail, education, etc.) and domains. I have hands-on experience of using various analytical & development tools like SPSS, R, Tableau/MS Power BI and MATLAB and exposure of training and teaching in specialized areas of IT & Analytics. I am UGC NET-JRF Qualified and also possess management consulting certification from Government of India. I am one of the few Analytics professional in India to have CAP (INFORMS) and GStat (ASA) certification & accreditation, respectively and also serving as the Brand Ambassador of CAP in Asia Region for INFORMS. I am Efficient in Report preparation and Article writing. I can prepare Research proposals, Research Frameworks, Data Source identification, Data Collection Framework and Data Preparations. I have experience of handling teams up to 50 people for project execution."
|
|
Risk analytics (or risk analysis) is the study of the underlying uncertainty of a given course of action. It often works in tandem with forecasting professionals to minimize future negative unforseen effects.
"I pursued a Bachelors degree in Economics from St Stephen's College and a Masters degree in Economics from Delhi School of Economics. Soon after, I joined BFSI Risk Analytics where I have been working for more than 4 years. Currently, I am working there as a Senior Consultant."
|
|
Data Analytics
Pratap Shankar Gharge
Executive President & CIO | Bajaj Electricals
Executive President & CIO | Bajaj Electricals
[ 34 years & 2 months Experience ]
Data analytics or analysis is a process of inspecting, cleansing, transforming, and modeling data with the goal of discovering useful information, informing conclusions, and supporting decision-making
"After completing my graduation from Shivaji University, Diploma in Computer Management from Mumbai University and an MBA (Operations Research) from IGNOU, I started my career with Simplex Textile Mills as a Programmer (1984-85) and post that I was associated with Bajaj Electricals for 33 Years and retired as an Executive President & Chief Information Officer."
|
|
Data science is an interdisciplinary field that uses scientific methods, processes, algorithms and systems to extract knowledge and insights from data in various forms, both structured and unstructured, similar to data mining.
"After completing my education, I started my career with TCS as a DBA. After that, I joined Sharda University as an Associate Professor and worked there for almost 17 years. I am a Professor at UPES since 2017."
|
|
Data Science & Statistics
Raman Nautiyal
Scientist E | Indian Council of Forestry Research & Education (ICFRE)
Scientist E | Indian Council of Forestry Research & Education (ICFRE)
[ 20 years & 10 months Experience ]
Data science is an interdisciplinary field that uses scientific methods, processes, algorithms and systems to extract knowledge and insights from data in various forms, both structured and unstructured, similar to data mining. Statistics is a branch of mathematics dealing with the collection, analysis, interpretation, presentation, and organization of data.
"I did Bachelors in Statistics, Maths & Economics from DAV College, Dehradun. I then did Masters in Statistics from the same college. I am pursuing my Ph D in Statistics from Kumaon University. I am a Scientist E at Indian Council of Forestry Research & Education (ICFRE)."
|
|
Data science is a multidisciplinary blend of data inference, algorithmm development, and technology in order to solve analytically complex problems. At the core is data. Troves of raw information keep streaming in and stored in enterprise data warehouses as there is much to learn by mining it.
"After completing my M Tech in Data Analytics, I joined a start-up in Delhi as a Data Scientist. After that I have worked for few companies as a Data Scientist, in 2018, I joined EdGE Networks Pvt Ltd as Data Scientist. I have also published few Research Papers in Journals like IEEE & Springer."
|
|
Economics & Finance Consulting
Manmeet
Consultant | Planning Commission of India
Consultant | Planning Commission of India
[ 7 years Experience ]
Economic consulting is the practice of providing organizations in the public and private sector with information to improve their performance and policies, primarily through the use of applied economics, mathematical economics, economic impact analysis, and forecasting across a broad spectrum of issues.
"After graduating in commerce, I went on to do masters in Economics. I also attended winter school in Delhi School of Economics. I have done a course in management from London School of Economics. I did my internship at Planning Commission of India. I have worked at RMS as Business Risk Analyst and as Risk Management Consultant at Inductis. I am Strategy & Operations Head at Nuts for Cuts."
|
|
Risk analysis is the process of identifying and analyzing potential issues that could negatively impact key business initiatives or critical projects in order to help organizations avoid or mitigate those risks.
"After completing my education, I joined Barclays as senior analyst and I am working as an Assistant Manager at Barclays."
|
|
[Install the LifePage App to access all Talks]
