An analytical thinker and aspiring Data Scientist based in Pune, India. Skilled in Machine Learning, Exploratory Data Analysis, and Web Development.
A look at what drives me and the strengths I bring to a professional environment.
Seeking an engaging Data Science Internship or Web Development Internship where I can leverage my academic foundation and hands-on skills in Python, Machine Learning, Exploratory Data Analysis (EDA), and data preprocessing to contribute to meaningful projects and model development.
Constantly exploring new tools, languages, and methodologies independently.
Aptitude for breaking down data trends and drawing actionable insights.
Enjoys resolving software anomalies and constructing robust algorithms.
Collaborates effectively and translates technical ideas into simple terms.
Self-driven, organized, and optimized for remote workspace environments.
My educational background and achievements from Pune, India.
B.Tech in Artificial Intelligence & Data Science
CGPA: 8.57 / 10.0
Higher Secondary Education (HSC - Class XII)
Score: 71.67%
Secondary School Certificate (SSC - Class X)
Score: 91.20%
Categorized list of technologies, frameworks, and tools I work with.
Practical application of concepts built during my academic coursework.
Implemented a natural language spam classifier using Naive Bayes and Support Vector Machine algorithms, preprocessing text using TF-IDF vectorization to achieve over 95% classification accuracy.
Developed an ETL and reporting pipeline with Pandas and SQL to construct charts showcasing key operations and user trends, making data reporting interactive and streamlined.
Designed an interactive dashboard using Streamlit for exploratory data analysis on demographics, state-wise registration rates, and enrollment types with clear chart representations.
Verification of ongoing self-learning and professional development programs.
Amazon Web Services
Coursera / Stanford
Kaggle / HackerRank
Udemy
RedHat Certification
freeCodeCamp
Atlassian / Coursera
I am actively looking for Data Science or Web Development internships. Feel free to reach out via phone, email, or LinkedIn!
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