Open to opportunities

K shiva

@kshiva1

Message

Detail-oriented aspiring Data Scientist skilled in Python and machine learning.

India

Message

What I'm looking for

I am looking for a role that fosters collaboration and innovation, where I can apply my data science skills to make a meaningful impact.

I am a passionate aspiring Data Scientist with a strong foundation in Python, data analysis, and machine learning. My journey has been driven by a desire to build models and interpret data to derive actionable insights. I thrive in collaborative environments where I can apply my knowledge to solve real-world problems.

Throughout my academic career, I have engaged in various technical projects, including stock price prediction using LSTM and customer churn prediction in the telecom sector. These experiences have honed my skills in data preprocessing, exploratory data analysis, and model building, utilizing tools such as Pandas, Scikit-learn, and TensorFlow. I am eager to contribute to innovative projects that challenge my abilities and expand my expertise.

Experience

Work history, roles, and key accomplishments

Stock Price Prediction Using LSTM

KG Reddy College of Engineering and Technology

Sep 2020 - Present (4 years 10 months)

Built an LSTM-based neural network to forecast stock prices using historical data. Performed data loading, preprocessing, and normalization using Pandas and MinMaxScaler.

Python TensorFlow Keras Pandas NumPy Matplotlib scikit learn data preprocessing Data Visualization Machine Learning

Customer Churn Prediction

KG Reddy College of Engineering and Technology

Sep 2020 - Present (4 years 10 months)

Developed a machine learning model to predict customer churn in telecom sector. Conducted EDA to identify patterns in churn behavior using Seaborn visualizations.

Python scikit learn Pandas SeaBorn NumPy Logistic Regression Random Forest Machine Learning

Sales Forecasting with Time Series Analysis

KG Reddy College of Engineering and Technology

Sep 2020 - Present (4 years 10 months)

Built ARIMA and Prophet models to forecast sales trends for a retail dataset. Delivered insights on future demand patterns and seasonality.

Python Time Series Analysis Sales Forecasting Data Analysis Machine Learning

Education

Degrees, certifications, and relevant coursework

KG Reddy College of Engineering and Technology

B.Tech, Computer Science and Engineering

Grade: 6.3 CGPA

Completed a Bachelor of Technology in Computer Science and Engineering. Studied core concepts of computer science and engineering, including programming, data structures, and algorithms.