A results-driven Data & Analytics Professional with 3.5 years of experience in data analysis, product analytics, and analytics engineering. I specialize in leveraging data to drive business growth, optimize product performance, and enhance user experiences. Skilled in extracting actionable insights from complex datasets, I conduct in-depth analyses to improve conversion rates, streamline operational processes, and support data-driven decision-making. My expertise includes data cleaning, exploratory analysis, and creating interactive dashboards to communicate insights effectively. I excel at collaborating with cross-functional teams, including product, engineering, and marketing, to align data strategies with business objectives and deliver measurable results.

Data Analytics, Product Analytics, Machine Learning, Natural Language Processing (NLP), and Computer Vision.

You can view my Medium profile here.

• Perform data cleaning, preprocessing, and exploratory analysis to ensure accuracy and reliability.
• Develop interactive dashboards and reports for clear, data-driven decision-making.
• Conduct in-depth user retention and behavioral analytics to optimize conversion rates.
• Optimize SQL queries for improved performance and efficiency.
• Collaborate effectively with cross-functional teams (product, engineering, and analytics) to align data insights with business objectives.
• Skilled in CRM experimentation, analyzing acquisition, retention, and feature performance.
• Strong ability to assess in-app user behavior, sales funnel efficiency, and product usability.
• Automate repetitive data tasks to enhance productivity and resource management.
• Proficient in documentation, crafting clear and comprehensive reports, as well as detailed data and analytics process workflows, to ensure transparency and facilitate knowledge sharing across teams.

• Programming & Query Languages: Python, SQL
• Data Visualization: Power BI, Apache Superset, Looker Studio
• Databases: MySQL, PostgreSQL, Microsoft SQL Server, Trino
• Data Engineering Tools: dbt, SparkSQL, Mage AI
• Machine Learning Frameworks: Scikit-learn, TensorFlow, Keras
• NLP Libraries: NLTK, spaCy, Gensim, Hugging Face, Transformers
• Computer Vision: OpenCV, DeepFace, MediaPipe

• Ad Platforms: Meta Ads Manager, Google Ads Manager
• Analytics & Tracking: Google Analytics, Mixpanel

• Web Scraping & Automation: Requests, Selenium, Beautiful Soup
• IDEs: Jupyter, Spyder, Visual Studio Code, Sublime Text
• Version Control: Git, GitHub Desktop
• Spreadsheet Tools: Excel, Google Sheets
• Cloud Platforms: Firebase, GitHub Pages, Heroku, Vercel
• Productivity & Collaboration: Notion