🎯 Data Scientist | MSc Data Science & Analytics (University of Westminster)
📍 London, United Kingdom
📫 LinkedIn | 📧 saradabre1234@gmail.com

I’m a Data Scientist with a strong foundation in Mathematics, Statistics, and Applied Computing.
I specialize in using data-driven approaches to solve business problems, uncover insights, and build predictive models that make an impact.

• 🔭 Currently exploring Machine Learning, Deep Learning, and NLP applications
• 🌱 Passionate about AI-driven decision-making and data storytelling
• 💬 Ask me about Python, SQL, Machine Learning, or Data Visualization
• ⚡ Fun fact: I see datasets as stories waiting to be told!

Programming: Python, R, SQL
Data Science: Machine Learning, Statistical Analysis, Predictive Modeling, NLP
Libraries & Tools: Pandas, NumPy, Scikit-learn, TensorFlow, Matplotlib
Visualization: Tableau, Power BI, Looker Studio, Google Data Studio
Other: Data Wrangling, Feature Engineering, Model Optimization
Soft Skills: Analytical Thinking, Problem Solving, Communication, Leadership

Built ML models to predict app ratings using real Google Play Store data.
Implemented Linear Regression, Random Forest, and KNN algorithms to analyze features such as installs, reviews, and categories.
Performed data cleaning, feature scaling, and model evaluation using R² and RMSE to assess accuracy.

Developed time-series analysis and visualizations to identify stock performance trends.
Used Python, Pandas, and Matplotlib to analyze closing prices, moving averages, and daily returns.
Generated insights to help understand stock volatility and market movement patterns.

Created regression models to predict Uber ride prices using feature engineering and hyperparameter tuning.
Optimized model accuracy using cross-validation and evaluated performance metrics such as RMSE and MAE.

Implemented ARIMA and SARIMAX models to forecast energy consumption trends.
Evaluated time series models for predictive accuracy and trend consistency.

Applied NLP techniques to analyze social media sentiment around Tesla’s Model 3.
Performed text preprocessing, tokenization, and sentiment scoring using Python NLP libraries.

MSc Data Science & Analytics
University of Westminster, London (2023–2024)

BSc Mathematics and Applied Computing
University of Mumbai (2018–2021)

• Data Analytics Essentials
• Tableau for Data Scientists
• Data Visualization: Storytelling
• The Fundamentals of Digital Marketing

💼 LinkedIn
📧 saradabre1234@gmail.com

⭐ “Turning data into decisions — one model at a time.”