Skills
🔍 Data & Analytics
Data Visualization: Power BI (PL-300 Certified), Tableau, Excel
Statistical Analysis & Modeling: Python (pandas, NumPy, scikit-learn), R, SQL
Predictive Analytics, A/B Testing, Exploratory Data Analysis (EDA)
🤖 AI & Machine Learning(AI-102 Certified)
ML Algorithms: Logistic Regression, Random Forest, Gradient Boosting, Clustering
NLP & Generative AI: OpenAI GPT, LangChain, Agentic AI, RAG
Deep Learning: TensorFlow, PyTorch
💻 Programming & Development
Languages: Python, Java, C++, .NET, C#, Shell Scripting
REST API Development, Streamlit Dashboards, Automation Scripts
Version Control: Git, GitHub
☁️ Cloud & Big Data
Cloud Platforms: Microsoft Azure (AZ-204 Certified), AWS
Tools: Snowflake, ETL Pipelines, Big Data Processing
🧠 Soft Skills & Tools
Agile & Scrum, Jira, Project Collaboration
Strong Problem-Solving & Communication
Fast Learner, Creative Thinker, Team Player
About
I’m a Data & AI Product Analyst with 5+ years of experience translating complex data into actionable insights that drive business impact. With a strong foundation in Python, Power BI, and machine learning, I specialize in AI feature optimization, predictive analytics, and performance monitoring.
My career spans impactful roles across system analytics, BI reporting, and AI product analysis where I’ve reduced model downtime by up to 35%, improved feature adoption by 20%, and restored model accuracy losses by 25%. I’ve built real-time dashboards, automated reporting pipelines, and led cohort and funnel analysis to guide strategic decisions.
I’m passionate about building scalable, AI-enhanced solutions that improve product engagement, reduce operational friction, and align cross-functional teams. I’m committed to continuous growth in the intersection of data, AI, and product innovation.
🤝 Let’s connect if you’re solving problems with AI, automation, or data-driven products.
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