Kolluri Venkata Sai Harshitha
B.Tech AIML’26| Exploring AI&ML | Empowering Innovation through Python Full Stack & DSA | Git& GitHub | Multilingual|Open to Career Opportunities · Kondapi, Andhra Pradesh, India
As a data science professional with two years of experience, I approach complex challenges with a blend of ambition and diligent curiosity, always seeking innovative solutions. My flexible nature allows me to adapt quickly to new data landscapes, and I thrive in collaborative environments where I can apply my skills in machine learning, regression, and classification to drive meaningful insights and impact.
Experience
Data Science Intern
XYlofy AI · Jun 2026 – Present
- Week 1: House Price Prediction
- Built a regression-based machine learning model to predict house prices using real-world housing data.
- Performed data cleaning, preprocessing, and exploratory data analysis (EDA) to identify key pricing factors.
- Applied feature engineering, handled missing values, and encoded categorical variables for improved model performance.
- Trained and evaluated multiple regression algorithms using performance metrics such as Mean Absolute Error (MAE), Mean Squared Error (MSE), and R² Score.
- Visualized data trends and model predictions using Python libraries including Pandas, NumPy, Matplotlib, and Scikit-learn.
- Week 2: Employee Attrition Prediction using Machine Learning
- Developed a classification model to predict employee attrition using the IBM HR Analytics dataset.
- Conducted data preprocessing, feature selection, label encoding, and exploratory data analysis to uncover workforce trends.
- Trained and compared machine learning algorithms including Decision Tree, Random Forest, Logistic Regression, and Support Vector Machine.
- Evaluated model performance using Accuracy, Precision, Recall, F1-Score, and Confusion Matrix.
- Generated actionable insights to identify factors influencing employee retention and support data-driven HR decision-making.
Machine Learning Intern
TEACHNOOK (TEACHSCAPE ONLINE LEARNING SERVICES PRIVATE LIMITED) · Oct 2024 – Nov 2024
- Developed and evaluated a CNN-based image classification solution using Python and TensorFlow on the CIFAR-10 dataset, achieving 90% accuracy through data preprocessing, model training, and performance optimization.
- Collaborated in an Agile development environment using Git-based workflows, documenting technical findings and communicating project outcomes to support effective knowledge sharing and continuous improvement.
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Education
Bachelor of Technology - BTech, Artificial Intelligence
NRI University, AP · 2022 — 2026
12th standard, MPC
Vignan Girls Junior College via Guntur district Pedapalakaluru · 2020 — 2022
10th standard
Paparao Educational Academy located in Prakasam district Kondapi mandal via Koru.Uppalapadu · 2019 — 2020
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