I have completed my master’s in electrical and Electronic Engineering at University of New Haven. This academic journey fueled my continuous thirst for knowledge and led me to a dynamic career in technology due to some of the courses I took during masters. My career started as a .Net Developer at Talent It Services where I worked for clients like Xerox and Mindtree where I honed development and business intelligence skills. I later joined Microsoft as Contractor and worked as Big Data and .Net Developer and completed projects in GDPR Team, CRM Telemetry team, Research Team, and Payee Portal Team. I’ve achieved certifications like Big Data, Data Science, HDInsight’s, Data Engineer, SQL, No-SQL, and Power BI. I finally landed at Microsoft in the year 2019 as a full-time employee in the role of Big Data Escalation Engineer. I am currently pursuing my doctoral degree in computer science specialized in Big Data at Colorado Technical University. Overall, I have 9 years of Experience in IT field handling technologies or roles like Big Data Engineer, Power BI , Software Developer and Data Scientist. I’m passionate about technology, dedicated to learning, and ready to contribute to your team’s success. Let’s connect and explore how I can make an impact in your organization.
Professional commitment to the field of expertise:
As a professional in my field, I’m committed to learning new technologies, ongoing learning, excellence in my work, and embracing innovation. Adaptability and Updating Knowledge is my success mantra, as I thrive in a dynamic, ever-changing environment. I uphold strong ethical values and prioritize collaboration and knowledge sharing. Microsoft customer satisfaction is a priority, and I thrive in dynamic environments. My goal is to make a meaningful impact while continuously investing in my own growth.
“Areas of Expertise”
In my field, I excel in areas such as Big Data, Data Science, Artificial Intelligence, Business Intelligence, Software Development and Cybersecurity Awareness
Demonstrated Professional/Academic Excellence
• Led critical data migration projects for Microsoft for Migrating data from Legacy Cosmos to Azure Data Lake
• Worked with Microsoft Research Team and Created an Innovative Dashboard for Microsoft Recruiter to hire researchers and engineers in the fields of Computer Science
• I worked on the GDPR team Microsoft to make sure the datasets in data lake follows all the regulations and standards.
• Achieved Microsoft Certified Data Engineer and Big Data Certification from Microsoft Azure.
• Created CRM Dashboards to Monitor Microsoft CRM customers.
• Resolved customer issues related to the latest technologies like HD Insight, Azure Data Lake, Data Factory, Databricks, Synapse and Fabric.
• Created Dashboards for several Microsoft customers to monitor their incoming cases and to track the progress on those cases.
• Designed and built the telemetry pipeline infra for Dynamics CRM Online and built real time alerting, usage & adoption trends, churn predictions and customer engagement models using Machine Learning.
• Mentor for newly joined engineers and helping them in training in updates Big data tools like Databricks and Synapse.
• Upgraded Maryland Government websites to the latest version.
Publications: Google Scholar Link
• Title of Paper: Study and Analysis of Chat GPT and its Impact on Different Field of Study
Journal: International Journal of Innovative Science and Research Technology
• Title of Paper: Emotet Malware- A Banking Credentials Stealer
Journal: IOSR Journal of Computer Engineering
• Title of Paper: Chatbot for medical treatment using NLTK Lib
Journal: IOSR Journal of Computer Engineering
• Title of Paper: Phishing Detection Implementation Using Databricks and Artificial Intelligence
Journal: International Journal of Computer Application
• Title of Paper: Impact of Phishing on Users with Different online browsing hours and spending habits
Journal: International Journal of Advanced Research in Computer and Communication Engineering
• Title of Paper: Advantages, Disadvantages and Risks associated with ChatGPT and AI on Cybersecurity
Journal: Journal of Emerging Technologies and Innovative Research
• Title of Paper: Heart Disease Prediction using Chi-Square Test and Linear Regression
Journal: International Journal of Data Mining and Knowledge Management Process
• Title of Paper: Hybrid Scalable Researcher Recommendation System Using Azure Data Lake Analytics
Journal: Journal of Data Analysis and Information Processing (Scientific Research)
• Title of Paper: Phishing Website URL’s Detection Using NLP and Machine Learning Techniques
Journal: Journal on Artificial Intelligence (Tech Science Press)
• Title of Paper: Safeguarding FinTech: Elevating Employee Cybersecurity Awareness in Financial Sector
Journal: International Journal of Applied Information System
• Title of Paper: Satellite Image Processing Using Azure Databricks and Residual Neural Network
Journal: International Journal of Advanced Trends in Computer Applications
• Title of Paper: Exploring How User Behavior Shapes Cybersecurity Awareness in the Face of Phishing Attacks
Journal: International Journal of Computer Trends and Technology
• Title of Paper: Cultivating Proactive Cybersecurity Culture among IT Professional to Combat Evolving Threats
Journal: International Journal of Electrical, Electronics and Computers
• Title of Paper: Navigating the Link Between Internet User Attitudes and Cybersecurity Awareness in the Era of Phishing Challenges
Journal: International Advanced Research Journal in Science, Engineering & Technology
• Title of Paper: Facial Emotion and Sentiment Detection Using Convolutional Neural Network
Journal: Indian Journal of Artificial Intelligence Research
• Title of Paper: Enhancing Cyber Security by Predicting Malwares using Supervised Machine Learning Models
Journal: International Journal of Computing and Artificial Intelligence
• Title of Paper: Enhancing Early Diagnosis: Machine Learning Applications in Diabetes Prediction
Journal: Journal of Artificial Intelligence and Cloud Computing
Judging and Reviewer: (80 Times judged and reviewed others work in below journals and conferences)
• International Journal of Interactive Multimedia and Artificial Intelligence: (UNIR LA UNIVERSIDAD EN INTERNET): As a judge, I had the privilege of evaluating submissions across diverse domains, identifying, and celebrating excellence.
• Journal of Artificial Intelligence Tech Science Press
• Informing Science & IT Education Conferences
• Journal of Computer Science
• Informing Science Institute
• International Conference on Natural Language Computing Advances
• International Conference on NLP and Machine Learning Trends
• Computer, Materials and Continua
• Journal of Control and Decision
• Plos One
• International Journal of Advanced Trends in Computer Applications
• International Journal of Computer Engineering and Data Science
• PeerJ Computer Science Journal
• Journal of Software Engineering and Applications
• Journal on Big Data Tech Science Press
• Open Science Journal
• Oriental Journal of Computer Science and Technology
• Judge at Business Intelligence Awards
Memberships and Board Member:
• Fellow Member at IEMA
• Member at Institution of Engineering and Technology
• Informing Science Institute
• International Association of Engineers
• Program Committee Member for Conferences BDIoT 2023, NLMLT 2023, DSCC 2023, NLCA 2023, NLPD 2023, CSTY 2023
• Board Member- International Journal of Computer Science and Mobile Computing
• IEEE Graduate Student Member
• International Expert and Member of Editorial Board – International Journal of Enterprise Computing and Business Systems
• Editorial Board Member – International Journal on Information Theory (AIRCC)
• Editorial Board for International Journal of Electronics Communication and Computer Engineering
• Member of BCS The Chartered Institute for IT
• Member at Institute of Industrial and Systems Engineers
• Member at Design Research Society
• Member at Association for Computing Machinery
Awards and Recognitions:
• The Global Recognition Award stands as a testament to my global impact in the field of AI, Big Data and Cybersecurity.
• Receiving the ISSN International Science and Technology Awards 2024 for creating cybersecurity awareness was one of the accomplishments I’ve made in my career.
• Achievers of Asia and Africa Award
• Indian Achievers Award
• Best Reviewer of the Month for Oriental Journal of Computer Science and Technology.
Certifications:
• Microsoft Certified: Azure Data Engineer Associate
• Microsoft Big Data Certified
• Microsoft Edx Certification – Azure Data Lake, Azure Data Factory, Power BI, Big Data Analytics, Cosmos DB, HDInsight, Spark, Data Warehousing, No-SQL, T-SQL, Python for Data Science
