Rajath M.
Data Scientist @Vitu
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WORK HISTORY
Data Scientist @Vitu
San Francisco, CA, US
Automated the ETL process of 250K+ customer interaction records into HubSpot using GCP cloud functions, enabling real-time insights and reporting, leading to a 25% improvement in customer service response time. Analyzed A/B test data using Python and statistical models to validate hypotheses on customer interaction methods, delivering insights that contributed to a 15% increase in user engagement. Developed Looker Studio reports to track and analyze sales campaign performance by region, products, and deals, driving a 20% improvement in market capture and targeting strategies.
EDUCATION
University of Washington
Master's degree
Vellore Institute of Technology
Bachelor of Technology - BTech
ABOUT RAJATH M.
Data Scientist | Business Intelligence Enthusiast | 🧠 Turning Data into Insights Hello! I\'m Rajath M, a dedicated Data Scientist passionate about transforming complex datasets into actionable insights. My journey has taken me from shaping the dynamics of Formula Student race cars to driving data-driven strategies in the sports, healthcare, and automotive analytics sectors. I hold a Master’s degree in Information Management from the University of Washington and a strong foundation in Mechanical Engineering. Currently, I’m working as a Data Scientist at Vitu, where I develop data pipelines, automate ETL processes, and build predictive models that enhance customer experience and optimize business operations. I’m proficient in Python, R, SQL, and tools like Tableau, Power BI, and Looker Studio, excelling in data wrangling, visualization, statistical analysis, and machine learning. Whether it\'s tracking region-specific revenues, analyzing user behavior, or optimizing digital marketing strategies, I thrive on translating raw data into impactful business strategies. My expertise spans data-driven decision-making, dashboarding, NLP, ETL pipelines, and deploying machine learning models into production. I’m always excited to collaborate on impactful projects and make data the driving force behind business decisions. I am currently open to exploring opportunities in data science and analytics that allow me to continue growing and contributing to innovative teams.
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