About Me
A highly motivated and analytical professional with a profound passion for extracting insights from complex datasets. I thrive on transforming raw data into actionable intelligence, driving strategic decisions, and building innovative solutions through machine learning and data science techniques. My journey is fueled by a relentless curiosity and a desire to explore the ever-evolving landscape of data.
Key Projects
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Customer Churn Prediction Model
Python, Scikit-learn, Pandas, XGBoost
Developed a predictive model to identify customers at high risk of churning, leading to a 15% reduction in churn rate through targeted retention campaigns. Implemented feature engineering and hyperparameter tuning for optimal performance.
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E-commerce Sales Forecasting Dashboard
SQL, Tableau, Python (ARIMA)
Created an interactive dashboard visualizing historical sales trends and providing AI-driven future sales forecasts. This empowered the marketing team to optimize inventory and promotional strategies, resulting in a 10% increase in sales efficiency.
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Natural Language Processing for Sentiment Analysis
Python, NLTK, SpaCy, TensorFlow
Built a sentiment analysis engine to gauge customer feedback from social media and reviews. Leveraged deep learning techniques to achieve high accuracy, providing valuable insights into brand perception and product sentiment.
Experience
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Senior Data Scientist
Innovatech Solutions | 2020 - Present
Led cross-functional teams in developing and deploying advanced analytics solutions. Mentored junior data scientists and drove innovation in machine learning research. Focused on predictive modeling, A/B testing, and data strategy.
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Data Analyst
Data Insights Corp | 2018 - 2020
Analyzed large datasets to identify trends and patterns. Developed reports and visualizations for business stakeholders. Supported data-driven decision-making across various departments.
Education
M.S. in Data Science
University of Advanced Studies
Graduated: 2018
B.S. in Computer Science
Tech University
Graduated: 2016