Hany Jagwani

Data Scientist

ByteVolt•  May 2024 - Present•  Remote (USA)

Developed and deployed machine learning models to optimize product performance and enhance user experience, leading to a 20% increase in engagement across ByteVolt's digital platforms. Leveraged advanced analytics and data mining techniques on ByteVolt's extensive datasets, enabling data-driven insights that informed strategic business decisions, resulting in a good improvement in customer retention. Designed and maintained dashboards using Tableau and Power BI, providing real-time insights into key metrics, which supported cross-functional teams in improving operational efficiency.

Business Analyst

Yogin•  August 2021 - July 2022•  Bengaluru, KA, India

Spearheaded a collaborative effort across teams to strategize and implement initiatives driving operational efficiency and revenue growth; utilized Power BI for data visualization, leading to a 15% increase in sales revenue and a 25% decrease in overhead costs. Implemented a new electronic user database system, using SQL queries to extract and analyze data. This resulted in a 30% increment in productivity and a 20% reduction in errors. Executed comprehensive competitive analysis using Excel and Power BI to identify market trends and consumer preferences, resulting in a 15% increase in market share within 6 months. Reduced costs by $15,000 by identifying and eliminating inefficiencies in the supply chain, using SQL queries to analyze and present data to stakeholders.

Data Analyst Intern

Embellir Pictures•  May 2021 - July 2021•  Indore, MP, India

Pioneered the design and management of Tableau dashboards showcasing key metrics related to website traffic, social media engagement, and customer behavior, empowering management to optimize strategies and drive a 25% increase in online sales revenue. Analyzed website traffic and social media engagement metrics using Google Analytics, resulting in a 20% increase in website traffic and 10% increase in social media engagement. Conducted a customer segmentation analysis using SQL and Python, identifying three distinct customer segments, and informing target marketing campaigns that resulted in a 30% increase in sales.