Aishwarya Wagh

I am a highly analytical, results-driven Data Analyst specializing in transforming complex, large-scale datasets particularly in e-commerce, digital marketing, and product analytics, into clear, quantifiable business strategies.

My core proficiency lies in leveraging Advanced Computational Methods to extract deep insights and significantly enhance data comprehension. I excel at the full analytical spectrum, from utilizing advanced SQL and Python (Pandas, Scikit-learn, NumPy) on Big Data platforms like BigQuery, to executing rigorous statistical analysis and machine learning tasks. Crucially, I have deep expertise in automating complex workflows and recurring reports using Python and SQL, creating a streamlined and highly efficient data ecosystem.

As a collaborative team player, I am dedicated to maximizing the impact of data visualization. I bring significant expertise in tools like Tableau, ThoughtSpot, Power BI, and Matplotlib to craft impactful reports and presentations, ensuring that technical findings are translated into compelling, actionable recommendations for stakeholders.

I thrive on solving business puzzles hidden within data and translating those solutions into real-world impact and process improvement. I'd like you to please explore my portfolio to see how I combine technical precision with strategic vision to achieve measurable business results. I welcome the opportunity to connect and discuss potential collaborations.

Website Highlights

Strategic Exploratory Data Analysis (EDA): I specialize in strategic deep-dives into multi-platform datasets (e-commerce, marketing), unraveling critical trends and anomalies to preempt business risks and inform high-stakes decision-making.
High-Impact Data Visualization & Storytelling: A cornerstone of my work is transforming complex data into clear, actionable narratives. I utilize tools like Tableau, ThoughtSpot, and Power BI to design and maintain interactive dashboards that effectively communicate insights to both technical teams and executive leadership.
Statistical Rigor & Experimental Design: Expertise in applying advanced statistical methods to validate critical business hypotheses, design robust A/B testing experiments (including sample size determination), and derive measurable conclusions that directly influence product and marketing strategies.
Applied Machine Learning & Predictive Modeling: Solid foundation in developing and deploying predictive models to forecast key business trends, outcomes, and KPIs, leveraging techniques such as regression, classification, and time series analysis for practical business application.
Cross-Functional Collaboration & Stakeholder Management: Proven ability to work collaboratively across engineering, product, and marketing teams. I excel at translating ambiguous business questions into technical requirements and presenting complex findings in a concise, impactful manner that drives immediate organizational action.