Abhishek Kuppili
@abhishekkuppili
Aspiring data scientist turning data into predictive insights through Python and SQL.
What I'm looking for
I’m a Data Science undergraduate with a strong foundation in Python, SQL, and Machine Learning. I’m passionate about transforming raw data into meaningful insights that help teams make better decisions.
In my internship, I worked on data analysis and visualization using Python libraries such as Pandas and Matplotlib. I also developed predictive models with Scikit-learn, applying data preprocessing, feature selection, and model evaluation, while collaborating on Python-based solutions for business use cases.
My projects include a Customer Churn Prediction model for a Telecom dataset, where I achieved 80% accuracy. I used Logistic Regression, Random Forest, and Decision Trees, and used correlation and feature importance to identify key churn drivers, then visualized patterns with Seaborn and Matplotlib.
I’m building my technical depth through certifications like Data Analytics Essentials and IoT, and through hands-on work across EDA, data cleaning, feature engineering, and predictive modeling. I enjoy taking structured steps—from analysis to modeling to visualization—to deliver clear, actionable results.
Experience
Work history, roles, and key accomplishments
Data Science Intern
Council for Skills and Competencies
Conducted data analysis and visualization in Python using Pandas and Matplotlib, and developed predictive models with Scikit-learn. Performed data preprocessing, feature selection, and model evaluation, collaborating on Python-based solutions for business use cases.
Education
Degrees, certifications, and relevant coursework
Gayatri Vidya Parishad College for Degree and P.G. Courses (Autonomous)
B.Sc. (Hons), Data Science
2023 - 2026
Pursuing a B.Sc. (Hons) in Data Science, expected to complete from Sept. 2023 to Jun. 2026.
St. Francis Junior College
Intermediate Education, MPC Stream
2021 - 2023
Grade: 65%
Completed Intermediate Education (MPC Stream) from Sept. 2021 to Jun. 2023, scoring 65%.
Availability
Location
Authorized to work in
Job categories
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