Gaurav Bharatavalli Rangaswamy
Data Scientist
Expеriеncеd data science profеssional possеssing a prolific track rеcord of driving usеr growth, boosting usеr rеtеntion, and working on kеy mеtrics of wеb analytics. Adеpt at pеrforming dееp divе statistical analysis to gain actionablе insights to bеnеfit thе tеams and facilitatе sound dеcision-making whilе gеnеrating an еrror-frее rеport. Proficiеnt in data mining, data analysis, data visualization, and building Machine Learning and Deep Learning modеls to dеlivеr compеlling businеss results and succеssfully еxеcutе projects.
Careers
Data Analyst
SignDesk
- Developed 12+ Python algorithms based on in-depth statistical analysis and predictive data modeling (advanced machine learning) to estimate website traffic growth and lead generation.
- Analyzed blog performance with Google Analytics, integrated API for statistical analysis on Power BI and Looker Studio, and identified and addressed key improvement areas, resulting in a 37% increase in website traffic.
- Conducted rigorous Exploratory Data Analysis (EDA) on key metrics derived from Google Analytics and Google Search Console, enhancing user engagement and generating 500+ quality leads every month.
- Streamlined large marketing datasets, comprising 4-5 million data points, through advanced querying with SQL, ETL, and visualizations with Power BI, and analytical tools such as Python and Google Analytics.
- Developed and optimized data pipelines, enhancing data flow efficiency by 32% and improving data accessibility, supporting the analysis of over 1TB of big data.
- Enhanced website personalization using machine learning, boosting user session duration by 17%.
- Performed data analysis and created 20+ dashboards on Power BI to enhance flagship marketing initiatives across Search Engines and Social Media marketing, resulting in a 16% increase in ROI with reduced investment.
- Conducted A/B testing on over 150 web pages, analyzing results to make informed analytical decisions, leading to a 26% improvement in the conversion rate of these web pages.
- Resolved issues pertaining to dashboards and databases and oversaw the quality assurance of the imported data.
Education
Clark University
Data Analytics (Deep Learning)
International Institute of Information Technology
Data Science (Deep Learning)
BMS Institute of Technology and Management
Engineering
My projects
Predictive Modeling for High-Value Telecom Customer Churn Identification & Retention Strategy
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Achieved 85% recall in churn prediction for high-value customers using data preprocessing, feature derivation, class imbalance handling, and models like random forest and logistic regression, facilitating targeted customer retention strategies.
Role: Machine Learning Developer
Completed: 11/2023
Live project: https://github.com/Gaurav-B-R/Predictive-Modeling-Telecom-Churn-Logistic-Regression-and-Random-Forest
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