About Me
I am a Trading Data Engineer and Software Developer at DFSPL, working at the intersection of data engineering, financial markets, and scalable software systems. My work involves analyzing, computing, visualizing, and generating actionable insights from high-volume, complex trading data, along with the development, optimization, and deployment of responsive and scalable web applications.
I previously worked as a Research Intern at IIT Bhilai, contributing to a ₹4.5 crore sponsored industrial research project for the Steel Authority of India Limited (SAIL). This experience strengthened my ability to apply data-driven approaches to real-world, large-scale industrial challenges. I have also gained industry experience as a Data Science Intern at Navodita Infotech and Cognorise Infotech, and during my internship at Uptricks Solution Pvt. Ltd., Pune.
Currently, I am a 4th-year B.Tech (Honours) student in Computer Science Engineering with a specialization in Data Science at Chhattisgarh Swami Vivekanand Technical University. Alongside my academic journey, I actively work as a Stock Analyst and Trader at NSE India, where I perform market analysis, strategy evaluation, and data-backed decision-making.
Beyond technical roles, I have held leadership responsibilities as a Training & Placement Coordinator (Team Recruitment) and Cultural Event Manager at UTD–CSVTU. I am also an active member of IEEE, NSS, and other social organizations, contributing to initiatives focused on community development and public welfare.
Teaching and mentorship have been an important part of my journey. During my higher secondary education, while preparing for IIT-JEE, CUET, and NDA, I managed a tuition program mentoring 30+ students, teaching Classes 1–10 (all subjects) and Classes 11–12 (Physics, Chemistry, Computer Science, and English).
My technical strengths include data visualization, data interpretation, algorithmic thinking, and multi-language programming with hands-on experience in Python, C, C++, Java, R, JavaScript, HTML, and CSS. I am deeply passionate about computers and technology, and I continuously strive to grow as a learner, problem-solver, and professional.
What i'm doing
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Data Analysis and Visualization
Finding Useful insights from Huge Amount of Data and can Visualize the Same.
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Software Development
High-quality Development of System Softwares at the professional level.
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Mobile Apps DevelopMent
Professional development of applications for iOS and Android using Flutter with Dart Programming Language.
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Python Modules
I Can Work with Highly Optimized Python Modules and Libraries to Train and develop Models.
Key Courses
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Probability and Statistics
Probability and Statistics are essential in Data Science, enabling data-driven decisions through data analysis, pattern recognition, predictive modeling, and interpretation of uncertainty in real-world scenarios.
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Machine Learning
Machine Learning is a branch of AI that enables computers to learn from data, identify patterns, and make decisions or predictions with minimal human intervention.
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Object Oriented Programming
Object-Oriented Programming (OOP) is a programming paradigm centered around objects, encapsulation, inheritance, and polymorphism, enhancing code modularity, reuse, scalability, and real-world problem modeling.
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Natural language Processing
Natural Language Processing (NLP) enables computers to understand, interpret, and generate human language, powering applications like chatbots, translation, sentiment analysis, and speech recognition in Data Science.
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DataBase Management System
A Database Management System (DBMS) is software that stores, organizes, retrieves, and manages data efficiently, ensuring data integrity, security, scalability, and concurrent multi-user access.
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R for Data Science
R for Data Science leverages R programming to clean, visualize, and model data effectively, enabling insightful analysis, reproducible research, and impactful data-driven decision-making.
