Research in Data Science
Aayushi Verma | Data Scientist | EdGE Networks Pvt LtdWhat is Research in Data Science?
You may be curious about a Career in Research in Data Science. Internet is brimming with pages on How to get into Research in Data Science, while one should first understand What is a Career in Research in Data Science. While anyone can have an opinion on what Research in Data Science entails; only a real professional can really explain it.
Data Scientist Aayushi Verma has 5 years of professional experience in Research in Data Science. Data Scientist Aayushi Verma defines 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 Path to a Data Science Research Career: Insights from Ayushi Verma In today’s data-driven world, the field of data science has never been more pivotal. This dynamic sector is at the forefront of solving complex business problems through innovative research and analytics. Ayushi Verma, a seasoned data scientist and researcher, offers her insights into the nuances of this exciting career. Her journey—from studying computer science to carrying out impactful research—highlights the education, skills, and daily realities of life as a data science researcher. What Is Research in Data Science Research in data science is a systematic approach that encompasses numerous stages, including data extraction, preprocessing, feature engineering, exploration, insight extraction, and visualization of data. This structured methodology is essential for addressing specific business problems effectively. According to Ayushi, the process of drawing meaningful insights from complex data sets not only clarifies challenges but also provides the foundation for data-driven decisions. For instance, she emphasizes how innovative visualizations can greatly enhance the comprehensibility of analytics results. Education A strong foundation in mathematics is crucial for anyone aspiring to excel in data science research. Mathematics enables researchers to understand and apply various algorithms and statistical methods essential for analyzing data effectively. Ayushi points out that a solid grasp of numbers helps in solving complex data problems, making it easier to extract meaningful insights. For instance, familiarity with statistical theories allows researchers to evaluate data accuracy and reliability. The right tools play a significant role in the success of data science research. Tools such as MS Excel and Tableau are vital for data representation and visualization, facilitating the communication of complex findings to diverse audiences. Ayushi emphasizes that mastering these tools not only enhances a researcher’s efficiency but also significantly improves the quality of insights derived from data. In her experience, visualizing data appropriately has often led to improved business decision-making processes. Conducting a thorough literature survey is a foundational step in data science research. This process involves reviewing existing research to identify gaps, trends, and previous methodologies. Ayushi believes that an understanding of what others have accomplished in the field greatly informs one’s own research trajectory. By grounding her innovations in previously published work, she has been able to substantiate her findings and contribute novel insights to the discipline. Skills In the realm of data science research, unwavering focus is indispensable. Ayushi highlights that deep concentration is necessary when dealing with complex data challenges, as distractions can lead to inaccurate results. Engaging intensely with the material not only enhances a researcher’s ability to derive insights but also fosters a more productive research environment. She encourages aspiring researchers to cultivate this skill early in their careers. Innovation is at the heart of impactful data science research. Ayushi asserts that researchers must always seek new approaches to problems, ensuring that their work contributes uniquely to the field. Embracing a mindset of innovation allows researchers to differentiate their findings and offer fresh perspectives. For example, Ayushi has often had to reimagine existing algorithms to deliver enhanced solutions to data challenges. Research is a meticulous process that requires considerable patience. Ayushi expresses that the journey often includes trial and error, requiring a steadfast dedication to navigating setbacks. This patience is critical as it enables researchers to learn from failures and continue refining their approach. Ultimately, patience contributes to the overall quality of research, as thorough investigation often leads to the most rewarding insights. Resilience is essential in navigating the challenges of data science research. Ayushi inspires aspiring researchers to adopt a 'never give up' attitude, even when experiments yield unexpected or negative results. This tenacity is vital for overcoming obstacles and achieving professional growth. Many successful breakthroughs in data science have stemmed from persistent experimentation and a commitment to continuous learning. Positives Engaging deeply in research can pave the way for advanced academic opportunities, such as pursuing a PhD. Ayushi points out that intensive research contributes significantly to one’s academic credentials, enhancing prospects for future roles in both academia and industry. This academic growth not only enriches personal knowledge but also establishes a credible professional profile. The satisfaction derived from conducting meaningful research is profound. Ayushi notes that contributing to valuable projects leads to a sense of accomplishment and recognition within the community. This fulfillment stems from knowing that one’s work has the potential to impact society positively through innovative solutions. The opportunity to validate one’s research through publication and presentation serves as a significant motivator in data science. Ayushi shares that presenting her research papers at conferences not only brings recognition but also affirms the importance of her contributions. Validation becomes an essential part of a researcher’s journey, showcasing their efforts to the broader community. Challenges One of the most significant challenges faced in data science research is the lack of relevant data. As Ayushi explains, while data is abundant, finding datasets that specifically address research questions can be difficult. This scarcity can hinder research progress and necessitates creativity in data sourcing and problem formulation. The absence of existing literature on particular research topics poses another challenge for researchers. Ayushi notes that when there are few or no related studies available, it becomes challenging to contextualize one’s work. However, this can also represent an opportunity for groundbreaking innovations, as researchers have the chance to operate in uncharted territory. A Day Of A typical day for Ayushi involves extensive literature reviews, where she distills knowledge from existing research to inspire her innovative projects. She dedicates time to read actively and think critically about how to approach data challenges uniquely. This iterative process of exploration, evaluation, and visualization forms the bedrock of her daily work, allowing her to forge ahead with her research goals. By remaining engaged with current studies and trends, she continues to refine her next research steps. In conclusion, a career in data science research is marked by continuous learning and innovation. Through her journey, Ayushi Verma illustrates that a blend of solid education, essential skills, and the perseverance to navigate challenges leads to significant contributions in the field. The pursuit of data science not only offers professional fulfillment but also the opportunity to make a meaningful impact on society. Embracing this path can lead aspiring researchers to exciting and rewarding experiences across the globe. | |
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]

