"As a dynamic and results-driven professional with a strong foundation in Python development, I specialize in Data Science and Machine Learning, leveraging advanced analytical techniques to derive actionable insights from complex datasets. My expertise extends to developing robust and scalable applications using Flutter, with a portfolio that includes a portfolio app, a music app, and an e-learning app. I am currently enrolled in the advanced Data Science and Machine Learning using GenAI program at NIIT Limited. This comprehensive course is designed to deepen my expertise in various essential tools and skills, including Advanced SQL, Excel, Python, Python for Data Science, Machine Learning, Tableau, and core concepts in Statistics and Mathematics. In Data Science, I have successfully executed multiple projects where I applied machine learning algorithms to solve real-world problems, from predictive modeling to natural language processing. My hands-on experience with Python, alongside tools such as TensorFlow, Scikit-learn, and Pandas, enables me to create intelligent systems that drive business value."
Data Visualization, Data mining , Big data Analysis.
Predictive Modellling , Large Language Models
Data Analysis
I created a Tableau COVID-19 dashboard and compiled a comprehensive report summarizing key findings, including total deaths by state, d etails on age groups, administration of first and second doses, doses administered by vaccine type, and state-specific positive case information.
Machine Learning
Developed an intelligent book recommendation engine using large language models (LLMs) to provide personalized book suggestions based on user input.Extracted and preprocessed book descriptions to create meaningful text representations for contentbased recommendations.Utilized LangChain for efficient text splitting and vector search to build a robust book recommendation system.
Pyhton Programming
Libraries like NumPy, Pandas, Matplotlib, and Scikit-Learn for data manipulation, analysis, and visualization. Implementing machine learning algorithms for classification, regression, clustering, etc. Deep learning frameworks like TensorFlow or PyTorch for neural network development.
B.E Computer Engineering ,University of Pune
BE with 8.55 CGPA
HSC XII
Higher Secondary Education with 60 %
SSC X
Secondary Education with 87.20 %
Advance Certification Done
Certification Done
Project Finished
Ongoing Projects
Comprehensive program focused on mastering data science and machine learning concept.Skill Learned - Advance Python , SQL, Excel , Statistics and Probability , Machine Learning, GenAIGained expertise in Advanced SQL for handling and Excel for data manipulation. Enhanced data visualisation proficiency using Tableau. Strengthened statistical and mathematical foundations relevant to data science
Certified by NPTEL with a commendable achievement of 65% in the examination, this certification represents my expertise in Python for Data Science. Acquired through rigorous coursework and practical application, this certification showcases my ability to leverage Python's powerful libraries and tools for data analysis, visualization, and machine learning.
This certification signifies successful completion of the "Data Science A-Z" course on Udemy, a comprehensive and hands-on exploration of the world of data science. Through this course, I gained a deep understanding of the fundamental concepts, tools, and techniques essential for a career in data science..
This certification showcases my proficiency in mobile app development using Flutter, a powerful framework for creating dynamic and engaging applications. Through the comprehensive curriculum provided by Udemy, I gained hands-on experience in building cross-platform apps with Flutter, enabling me to create responsive and feature-rich applications for both Android and iOS platforms.
Acquired comprehensive skills in harnessing the power of Tableau for insightful data analysis and visualization. This certification showcases my proficiency in using Tableau to create impactful visualizations, dashboards, and stories from complex datasets.
Gained theoretical knowledge but also hands-on experience in applying these concepts to real-world scenarios. This portfolio section encapsulates my journey, from learning the foundations of machine learning to implementing advanced algorithms and drawing meaningful insights from data.
