Versatile Data Analyst and Machine learning engineer with over Four years of progressive experience in the analysis of intricate, high-volume datasets across various project stages. Instrumental in crafting strategic rep…
Versatile Data Analyst and Machine learning engineer with over Four years of progressive experience in the analysis of intricate, high-volume datasets across various project stages. Instrumental in crafting strategic reports and timely insights that have propelled business achievements. Proven track record of collaborating with extensively cross-functional internal teams to successfully deploy models into production. Possesses a profound comprehension of diverse database types, and research methodologies. Substantial expertise in data acquisition, manipulation, and visualization. Enthusiastic about advancing organizational objectives, dedicated to implementing innovative business remedies, and proven leadership expertise.
Led development of Power BI dashboards, visualizing user activities and subscription trends.
Utilized MongoDB query language for efficient data retrieval.
Integrated real-time data feeds for up-to-date insights.
This resulted in a 20% increase in user engagement and a 15% rise in subscription renewals, driving company growth.
Utilized machine learning algorithms to predict user behavior especially customer churn on the platform.
Analyzed historical data to identify patterns and trends.
Implemented personalized recommendations resulting in a 25% increase in user engagement and higher subscription retention rates, contributing to the company's growth in the competitive market.
Facilitated regular cross-functional meetings, notably with the social media manager, to align strategies.
Presented Power BI insights on user retention, signup trends, and campaign impacts.
Collaborative efforts resulted in a significant 25% increase in new signups, effectively enhancing overall customer engagement and user retention.
Perform Sales Forecasting and Inventory Optimization for clients by analyzing historical sales data and other external factors influencing demand. Develop dashboards using Tableau and Power BI to visualize the data. Build time-series
forecasting models to aid in inventory planning and procurement decisions.
Enhanced the reputation of a financial service client by utilizing SQL queries to identify patterns associated with fraudulent behavior thus addressing fraudulent transactions within their account statements.
Applied K-Means clustering to detect anomalies and unusual transaction patterns leading to a 97% accuracy rate in detecting fraudulent transactions, saving the client over $150,000 annually.
Improved customer retention for a subscription-based business seeking to reduce customer churn by analyzing usage patterns and engagement metrics to identify churn predictors.
Created a machine learning model to predict potential churners using Logistic Regression.
Collaborated with the client's marketing team to implement targeted retention campaigns which led to a decrease in customer churn by 25%, thus improving revenue stability for the client.
Performed Sales Forecasting and Inventory Optimization for a retail client by analyzing historical sales data and other external factors influencing demand.
Developed a dashboard using Tableau to visualize the data.
Built time-series forecasting models to aid in inventory planning and procurement decisions which improved inventory turnover by 20%, reducing carrying costs and stockouts.
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