Manohar Pragada Email & Phone Number

Richardson, Tx, Us

Richardson, Tx, Us

Richardson, Texas, United States

Analyzed over 25,000 student housing records using Python (Pandas, NumPy) and SQL, identifying key trends in occupancy rates, maintenance requests, and student satisfaction to drive data-driven continuous improvements and optimize housing services. ◦ Developed 8 comprehensive Tableau dashboards, enabling real-time monitoring of housing metrics, facilitating a 20% improvement in resource allocation efficiency, and supporting strategic decision-making for university administrators and stakeholders. ◦ Generated actionable insights that contributed to a $75,000 cost savings by optimizing space utilization and reducing underutilized resources through comprehensive data analysis and innovative strategic resource planning initiatives.

Richardson, Texas, United States

Hyderabad, Telangana, India

◦ Utilized Python and SQL to analyze data from Hive Data Warehouse, designing 15 data models with 2,000+ attributes for payment and account risk detection, enabling fraud detection, reducing losses, ensuring compliance, and supporting decision-making. ◦ Orchestrated hundreds of ETL processes using Airflow-like tools within Hive and Spark environments, managing petabyte-scale data volumes for predictive modeling, ensuring data quality, scalability, and optimizing performance across large-scale analytics projects. ◦ Developed 15 predictive models with F1-scores above 0.91 using techniques such as Clustering, Regression, Decision Trees, Random Forests, and XGBoost to assess payment and account risks, improving fraud detection accuracy and minimizing financial losses. ◦ Leveraged Python visualization libraries and Tableau to create dashboards, enhancing model efficiency by 20% and providing actionable fraud analysis insights to stakeholders, improving decision-making accuracy and supporting real-time monitoring of critical metrics. ◦ Spearheaded the establishment of MLOps configurations and data synchronization workflows, increasing model development efficiency by over 60% through the development of 20+ components, enhancing deployment speed, reliability, and team collaboration. ◦ Developed Selenium and Python scripts for web scraping unstructured data and implemented DL and NLP methods (e.g., tokenization, POS tagging, sentiment analysis, RNN, CNN, Transformers) to detect triggering content in images and text for fraud detection.

Built and deployed a predictive model using Python (scikit-learn) and SQL to identify potential customer churn, resulting in a targeted retention strategy that decreased churn rates by 15% within six months, verified through quarterly performance reviews. ◦ Developed 10+ automated Tableau dashboards, integrating data from sources using SQL and Python to visualize key business metrics. These dashboards provided real-time insights, reducing report generation time by 50% and enhancing decision-making speed. ◦ Led the optimization of ETL processes, implementing automated data cleaning and transformation pipelines using Python and SQL, reducing processing time by 40% and ensuring data accuracy. Regular audits confirmed a 99% data integrity rate post-implementation.

Visakhapatnam, Andhra Pradesh, India

● Created Minimalistic Icon pack for IOS using Figma and sold them locally and Online● Experienced deal dynamics by selectively approaching 215 clients/year and producing client specific pitch packages● Directed a growing company and successfully generated revenues from ₹ 5000/month to ₹ 9750/month within 6 months

Visakhapatnam, Andhra Pradesh, India

● The overall operation of a thermal power plant, as well as a general knowledge of how a steel plant operates and operated toprovide the desired performance and the plan to increase production of steel from 7.3mt in 2019 to 200mt by 2030● Liaised with multiple teams and completed durable assemblies and subassemblies with hand and power tools● Calculated and Produced items in bulk and removed assembling complexities by using automated systems● Analyzed and reviewed demand forecasts in Excel and Power BI to determine realistic production approaches and manageinventory comprehensively, significantly increasing information productivity and plan to increase production by 9% in 1year● Successfully learned the process of steel making and production of electricity, and helped identify lowest cost approach

Master Of Science - Ms, Business Analytics

Bachelor'S Degree, Mechanical Engineering

Activities and Societies: ● Academics: S in Problem Solving and Oriented Programming, A in New Product Development, Technical Answers.

High School

Activities and Societies: ● Honors: Major in Math, Physics and Chemistry, Talent Scholarship (2014,2015) and Yearbook Design Team Lead ●.

Master Of Science - Ms, Business Analytics