Rahul Deo

Background

About Rahul Deo

I help companies increase their revenue by developing enterprise-level data science applications that assist data scientists in marketing, finance, and retail domains. As a data scientist, I turn complex data into actionable insights that drive business growth. I specialize in machine learning (ML), natural language processing (NLP), and data visualization, solving challenges and unlocking hidden opportunities across various industries. As a data scientist, I start by working closely with stakeholders to understand their specific goals and challenges. Then, I design and execute a data-driven approach, meticulously cleansing, organizing, and structuring raw data into a well-defined format suitable for analysis. Key Highlights: • Developed customer retention models, improving retention by 15%. • Implemented NLP techniques such as keyword extraction and text classification. • Created recommender systems that boosted click-through rates by 12%. • Experience in Python backend development and APIs using Flask web services. • Skilled at developing churn prediction models and using machine learning for business impact. Soft Skills: • Critical Thinker: I develop and deploy impactful machine learning models for customer churn prediction and keyword extraction, bringing a critical and analytical approach by analyzing cookie policies and marketing campaigns. • Collaboration : I thrive in collaborative environments, actively engaged with cross-functional teams (product, technical architects, data scientists, and business partners) to understand the requirements of Auto ML platform and ensured solutions align with overall business goals. I'm a passionate lifelong learner who stays abreast of advancements in data science and its potential for positive impact. Tools & Technologies: Languages: Python, C, C++, SQL, R, HTML/CSS Database: PL-SQL, MySQL, SQLite, PostgreSQL, MongoDB Libraries: Pandas, NumPy, Matplotlib, Scikit-Learn, Flask, Seaborn, SQLAlchemy, Keras, SciPy, Statsmodels, NLTK Core Domain Expertise: Supervised Learning (Regression-Linear, Ridge, Lasso, Logistic | Decision Trees | SVM, Random Forest | Gradient Boosting), Unsupervised Learning (K-Means | PCA | Cluster Analysis) Big Data: Hadoop, Sqoop, Snowflake Visualization & Others: Tableau, PowerBI, JIRA, SNOW, Figma, Canva, Office 365, Github, VS Code, Linux, Visio Domain Interests: Retail - Marketing, Pricing | Healthcare | Manufacturing and Automotive | Finance Are you seeking a data science professional to drive growth through data-driven decision making? Let's connect!