With ~12 years of dynamic experience in Data Science Engineering (data engineering, data analytics, data science), product development, and business consulting, I am a seasoned data professional dedicated to empowering organizations through actionable insights.
Proficient in segmentation & targeting, strategic planning & customer insights, market assessment, performance analytics, forecasting, and business intelligence reporting. Executed projects encompassing classification, regression, A/B testing, marketing mix modeling, customer lifetime value (CLTV), time series analysis, sentiment analysis & topic modeling (NLP), fraud detection, and recommendation systems (suggestion engine).
Proficient in Python, SAS, Tableau, Alteryx, SQL, Palantir Foundry, Excel (VBA), and PowerPoint.
Below is my service overview:
Data Manipulation and Summarization: Utilizing SQL, Excel, and Python to clean, manipulate, and summarize data, transforming raw information into actionable insights to guide decision-making.
- Data Optimization & Strategy: Leveraging SQL, SAS, and Python to identify areas for improvement in marketing strategies and develop actionable insights to optimize campaigns.
- Marketing Performance Tracking: Designing and building interactive dashboards and reports using Excel and Tableau to monitor and measure marketing performance, ROI, and KPIs.
- Impact Assessment & Experimentation: Performing A/B testing and regression analysis to assess the effectiveness of marketing strategies and provide actionable recommendations for continuous improvement.
- Predictive Modeling & Forecasting: Conducting predictive analysis using classification, clustering, and marketing mix modeling to forecast trends and optimize decision-making.
- Natural Language Processing (NLP): Applying advanced NLP techniques such as topic modeling, sentiment analysis, and text summarization using transformer-based models for in-depth text analytics.