Professional Overview
I am a Data Analyst & Data Scientist with 2.5+ years of experience with strong expertise across SQL, Python, Machine Learning, Marketing Analytics, and Digital/Ecommerce Analytics. My experience includes end-to-end analytics work — from data extraction and cleaning to modeling, insights, experimentation, and stakeholder communication. I have hands-on experience in marketing measurement, customer segmentation, A/B testing, campaign analysis, Funnel optimizations, and lifecycle analytics.I worked with Banking and Finance domain and currently working with e commerce analytics.My technical foundation combines advanced SQL, Python for data science, statistical modeling, and ML algorithms, giving me the ability to build analytical solutions that solve real business problems. I regularly work with Pandas, NumPy, Scikit-learn, Statsmodels, and GA4 (Ecommerce events). I also specialize in analytics for marketing funnels, product performance, user journeys, and conversion rate optimization (CRO). My experience spans consulting environments, working directly with business stakeholders to define KPIs, interpret model outputs, build dashboards (Power BI, Looker Studio), and deliver insights that influence marketing spend, product strategy, and customer targeting. I am now expanding into Deep Learning, including CNNs, and building strong ML pipelines to transition into advanced Data Science roles.
Areas of Expertise
Data Science & Analytics
Extract business insights from raw data using statistical modelling, predictive analytics, A/B testing, and interactive dashboards.
AI & Machine Learning Engineers
Design, train, and ship production ML models — from data pipelines to model inference at scale. Covers supervised learning, neural networks, LLM integration, and model optimisation.
AI Business, Marketing & Strategy
Apply AI to marketing automation, content generation, customer segmentation, and revenue growth strategies.
