Hrishikesh W.
Mid-Level Data Analyst
Open to offersNew to PlatformAbout
Hrishikesh W. is an accomplished Data Analyst based in Boston, MA, with over four years of experience in leveraging complex datasets to drive actionable business insights. His proficiency in SQL and Python, coupled with his capability in statistical analysis and A/B testing, equips him to reduce processing times and enhance decision-making processes effectively. Currently with Epsilon, he plays a pivotal role in improving marketing strategies through his adept use of tools like Power BI and Alteryx to transform and analyze large datasets. Hrishikesh's expertise extends to developing interactive dashboards and reports that enhance cross-functional collaboration, making him a valuable asset in Agile environments. He also brings a strong interest in scaling data pipelines and optimizing analytical applications within the Palantir Foundry platform. His academic background from Northeastern University in Information Systems further strengthens his analytical foundation, complementing his technical skills in cloud platforms and machine learning.
Experience
Data Analyst
Epsilon · 2023 — PresentExtracted and prepared data from client marketing databases using SQL and Alteryx, ensuring analysis-ready datasets. Employed Python for statistical analyses, including regression and hypothesis testing, to derive actionable insights that aided in campaign strategy improvements. Conducted A/B tests and visualized outcomes through Power BI dashboards to drive data-informed decisions. Created and managed interactive dashboards and reports in Power BI for stakeholder communication regarding KPIs and trend identification. Worked in collaboration with cross-functional teams, applying Agile methodologies alongside tools such as Jira and Confluence, to deliver timely reports and insights. Analyzed campaign performance metrics by extracting data with SQL and applying advanced statistical techniques, including exploratory data analysis and time series analysis, to identify trends. Undertook market segmentation studies utilizing Snowflake and Python to reveal key customer demographics for refined marketing strategies.Data Analyst
Trigent Software · 2020 — 2022Processed and transformed data from MySQL and SQL Server through SQL and Alteryx, focusing on generating high-quality datasets for analysis. Analyzed user interaction data using Python and Snowflake to uncover software application pain points, delivering insights that bolstered user retention. Developed interactive dashboards in Tableau to represent customer retention KPIs, facilitating trend tracking for stakeholders. Conducted statistical analyses such as exploratory data analysis and hypothesis testing with Python to reveal insights into product development, optimizing resource allocation. Engaged with cross-functional teams within Agile workflows, using Jira and Confluence to synchronize data insights with project goals for timely recommendations. Executed comprehensive analyses of user behavior and product usage with SQL and Python, identifying key factors that drove customer engagement. Conducted customer segmentation analyses with SQL and Python, producing in-depth reports that guided personalized engagement strategies.
Skills & Expertise
Education
- Master of Science in Information SystemsNortheastern University · — — 2024
- Bachelor of Engineering in Electronics EngineeringVivekanand Education Society's Institute of Technology · — — 2020