Santhosh Rao M
@santhoshraom
NLP Data Analyst at Prodigal Technologies
Bengaluru, KA
Santhosh Rao M is an NLP Data Analyst at Prodigal Technologies with a background in Aerospace Engineering. He specializes in building data migration pipelines, predictive modeling, and product analytics. Santhosh has a proven track record of optimizing engineering simulations and delivering actionable insights that drive client retention and revenue growth.
Experience
NLP Data Analyst
Prodigal Technologies
Lead the PyHub migration end to end which helped in isolating production analytics pipeline, the core of ProInsight. Orchestrated backtest of Intent To Pay model with one of the tenant which resulted in a significant upselling. Engineered seamless data migration pipelines, with constant monitoring facility over slack, from Mixpanel to Databricks (DBX), establishing a robust foundation for comprehensive product analytics. Built 500+ tags and events to ensure tenant’s success in using ProInsight and its features like tags, scorecards etc., which resulted in steady ARR. Templatized workflows of generating reports and emailing which resulted in 90% reduction in deploying reports. Built an classifier model to classify IVR calls and voicemail calls from connect calls. Spearheaded the construction and management of tags and events at ProInsight, elevating product functionality through strategic feature implementations. Collaborated closely with sales and account executives to distill actionable account-level insights, such as Intent To Pay playing a key role in successful up selling initiatives.
Data Science Intern
Course5 Intelligence
Pioneered a dynamic data pipeline and intuitive dashboards for real-time competitor analysis, catalyzing targeted marketing campaigns and slashing marketing expenses by approximately 33%. Designed and implemented Power BI dashboards.
Flow Analysis Intern
EndureAir Systems
Conducted serious of engineering simulations which helped achieve a 10% drag reduction in a flagship drone
Computational Engineer
Sukra Helitek Pvt Ltd
Under the guidance Dr. Ganesh Rajagopalan lead three engineering simulations projects. Handled 6TB of simulation data, processed with ffmpeg and Python that led to the significant design optimisations of one of the biggest vessels. Predicted high temperature plume crossing area over helipad for one of the largest vessel which led to the significant design and operational optimisation. Leveraged GPU and parallel computing for efficient engineering simulations which reduced 10xtime in simulation time
CFD Intern
Sukra Helitek
Maintained various engineering simulations pipeline, collated the results and reports
Education
IIT Kanpur
MTech
Aerospace Engineering
Anna University
BE
Aeronautical Engineering
Licenses & Certifications
Machine Learning
Coursera
Probability Theory, Statistics and Exploratory Data Analysis
Coursera