Manohar Pragada

Manohar Pragada Email and Phone Number

Data Scientist @ SKYOVI
Richardson, TX, US
Manohar Pragada's Location
Dallas, Texas, United States, United States
About Manohar Pragada

I am a business analyst with a master's degree in business analytics from the University of Texas at Dallas, where I honed my technical skills and deepened my understanding of data science and analytics. I am passionate about the intersection of business and technology, and I thrive in challenging environments where I can leverage data to solve complex problems and provide actionable insights.Previously, I worked as a business analyst at Infosys, leading the Digital Banking Enhancement Initiative with Bank of America. I delivered a revamped digital banking platform that garnered positive customer feedback, by conducting thorough requirement-gathering sessions, translating business needs into functional specifications and user stories, facilitating transparent communication and stakeholder management, providing extensive support during testing and UAT, and implementing process improvements. I have a strong understanding of both the technical and business sides of the equation, and I bring a unique perspective and skill set to any team or project. I am always looking for new opportunities to expand my knowledge and skills, and I stay up to date with the latest industry trends and developments. I believe in the power of building relationships and collaborating with others to achieve success, and I am excited to explore how we can work together to drive innovation and growth in the field of business analytics.My skillset includes:Database: SQL Server, Oracle, SAP HANALanguages: Python , R , SQLApplications: Jupyter Notebook, SAP Lumira, Power BI, Tableau, R Studio, TableauCourses: Advanced Statistics for Data Science, Database Foundations, Business Analytics with R, Business Data Warehousing, Data Visualization, , Prescriptive Analytics, SAP ERPI wanted to share my unwavering passion for maintaining composure and focus during high-stress situations, which has proven to be a game-changer for me both personally and professionally. I am dedicated to delivering exceptional outcomes in everything I do, and that's why I am on the lookout for internship opportunities in the Analytics and Data Science field, with availability starting January 2024. If you know of any relevant opportunities, I would be deeply grateful if you could let me know. Thank you so much!Manohar Pragada4709217777manohar.pragada@utdallas.edu

Manohar Pragada's Current Company Details
SKYOVI

Skyovi

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Data Scientist
Richardson, TX, US
Manohar Pragada Work Experience Details
  • Skyovi
    Data Scientist
    Skyovi
    Richardson, Tx, Us
  • The University Of Texas At Dallas
    Student Worker
    The University Of Texas At Dallas Jun 2024 - Present
    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.
  • Chartwells Higher Education Dining Services
    Food Service Worker
    Chartwells Higher Education Dining Services Aug 2023 - May 2024
    Richardson, Texas, United States
  • Infosys
    System Engineer
    Infosys Sep 2021 - Dec 2022
    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.
  • Aptima
    Data Analyst
    Aptima Aug 2019 - Aug 2021
    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.
  • Aesthetic Design
    Owner And Founder – Ui/Ux Design
    Aesthetic Design Sep 2020 - Apr 2021
    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
  • Rashtriya Ispat Nigam Limited, Vizag Steel Plant
    Intern – Thermal Engineering Division– Production And Manufacturing Sector
    Rashtriya Ispat Nigam Limited, Vizag Steel Plant Jun 2019 - Jul 2019
    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

Manohar Pragada Education Details

Frequently Asked Questions about Manohar Pragada

What company does Manohar Pragada work for?

Manohar Pragada works for Skyovi

What is Manohar Pragada's role at the current company?

Manohar Pragada's current role is Data Scientist.

What schools did Manohar Pragada attend?

Manohar Pragada attended The University Of Texas At Dallas, Vellore Institute Of Technology, Ascent Classes, The University Of Texas At Dallas.

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