Rajender Naik Gugulothu
Full Stack- Data Scientist
Building enterprise-grade AI systems that transform data into actionable insights
About & Expertise
Data Scientist & AI Engineer
Transforming data into intelligent solutions
Professional Journey
M.S. in Business Analytics graduate from Saint Peter's University with a 3.78 GPA and proven expertise in building enterprise-grade AI solutions. Currently developing RAG-based chatbots and semantic search systems at Vitharka Inc., with a track record of improving system performance by 30%+ across multiple projects.
Passionate about leveraging cutting-edge AI technologies to solve complex business challenges and drive innovation in data-driven decision making.
Education
Core Expertise
Certifications
Professional Journey
Showcasing career progression, quantifiable achievements, and technical impact through compelling storytelling
Data Scientist
Built enterprise RAG chatbot improving query relevance by 32%, processed 10,000+ documents with semantic embedding pipelines, achieved 99.9% system availability through microservices deployment.
Data Annotator/Analyst
Validated 12,000+ vision datasets improving ML model accuracy by 15%, automated labeling workflows reducing cycle time by 25%, standardized QA protocols cutting rework by 18%.
Data Analyst
Conducted SQL analytics identifying 18% attrition gap, created Power BI dashboards increasing student engagement by 12%, automated workflows reducing errors by 10%.
Featured Projects
Demonstrating technical capabilities and measurable business impact through innovative solutions
Customer Churn Prediction API
Machine Learning • API Development
Problem Statement
Customer retention challenges required predictive insights to identify at-risk customers and enable proactive intervention strategies.
Solution Approach
Developed real-time churn prediction system using FastAPI and RFM segmentation analysis, integrated with MongoDB for live profile updates and continuous learning.
Technologies Used
Quantifiable Results
Procurement Dashboard
Data Analytics • Business Intelligence
Problem Statement
Manual procurement processes lacked visibility into vendor performance and pricing anomalies, leading to cost inefficiencies and missed savings opportunities.
Solution Approach
Built automated insights dashboard using SQL queries and Tableau visualizations to flag vendor overcharges and identify contract renegotiation opportunities.
Technologies Used
Quantifiable Results
Ready to Transform Your Data Into Insights?
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