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I am a mathematics-loving individual with a strong academic background and a passion for data-driven problem-solving. As a postgraduate from NIT Patna, specializing in Mechanical Engineering, I have consistently demonstrated my dedication to academic excellence and achieved an impressive All India Rank of 950 in the GATE 2017 examination.
I began my career as a Subject Matter Expert and teacher of Physics, catering to JEE Main/NEET students. While imparting knowledge to aspiring students, I discovered my fascination for product and operation management. This marked my initial exposure to Google Sheet automation and SQL, where I realized the power of leveraging data to streamline processes and enhance efficiency.
Working in the Ed-Tech industry, I witnessed the transformative impact of Artificial Intelligence on student learning, which further fueled my interest in data-driven solutions. Throughout my journey, I have been deeply involved in working with data, utilizing it to develop products, drive marketing strategies, and optimize sales processes.
My studies in Mechanical Engineering introduced me to Operational Management, where I discovered the intriguing application of Linear Regression and Forecasting techniques in predicting and forecasting, empowering organizations to achieve growth and success. As I explored the dynamic landscape of technology, I came across the captivating realms of Data Science and Machine Learning. Delving into these fields, I realized that they encompassed the perfect blend of my passion for data analysis and my desire to create tangible impacts. Through continuous learning, I have honed my skills in Python for Data Science, Data Science, Machine Learning, Deep Learning, NLP, LLMs, GenAI(GANs, Auto-regressive and, VAEs) while also acquiring expertise in Google Sheets, SQL, and Agile methodologies such as Scrum.
I am currently seeking an exciting role in Data Science, Machine Learning Engineering, Deep Learning engineering, and AI engineering where I can further enhance my skills and make a positive impact on organizations and end-users alike. I am driven by the opportunity to leverage my expertise in Python, Data Science, Machine Learning, Deep Learning, and Generative Artificial Intelligence to contribute to the growth and success of an organization while utilizing Artificial Intelligence to drive innovation and create meaningful solutions.
With a strong foundation in mathematics, a diverse skill set encompassing data analysis and management, and a deep passion for leveraging technology for positive change, I am ready to embark on new challenges in the field of Data Science and make a significant difference in the world of data-driven decision-making.
Python
95%
Data Science
97%
Machine Learning
98%
Deep Learning
96%
NLP and LLMs
96%
GenAI
94%
Tableau and Power BI
94%
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From Blog
The R2 score, also known as the coefficient of determination, is a statistical measure used to assess the goodness of fit of a regression model. It indicates the proportion of the variance in the dependent variable that is predictable from the independent variables. In other words, it measures how well the regression model fits the observed data.
Measures of variability or dispersion provide information about how the data points are distributed around a central tendency measure (such as the mean, median, or mode) and give an indication of the spread or extent to which the values deviate from the central value. And because of this, the dispersion is also known as a scatter, or, variation.
Data privacy is not just a buzzword — it’s a fundamental right. In a world where personal information is constantly being collected, processed, and shared, safeguarding this data against unauthorized access and misuse is critical. Whether it’s financial records, healthcare data, or user profiles, maintaining the privacy of sensitive information is essential to building trust with customers and stakeholders.
First and foremost, AWS Bedrock is all about making AI accessible to everyone. Gone are the days when you needed a team of PhDs and a hefty budget to dabble in AI. With Bedrock, you can tap into state-of-the-art models from leading AI companies with just a few clicks. It’s AI for the people, by the people.
Hypothesis testing is a fundamental tool in statistical analysis and helps researchers and analysts make objective decisions based on data. It provides a structured approach for drawing conclusions about populations from limited sample information.