Available to hire
Hi, I’m Guna Yaswanth Gadde, a results-driven Data Scientist with hands-on experience in machine learning, deep learning, and cloud-based analytics. I love solving real-world problems by building scalable ML solutions and turning complex data into strategic insights. I have worked across healthcare, enterprise, and academic environments and enjoy collaborating across teams to create impactful data-driven results.
I am passionate about leveraging Python, SQL, and cloud platforms like AWS and GCP to automate data pipelines and make data storytelling clear and actionable. When I’m not working on intricate models and data systems, I enjoy diving deep into research projects and constantly expanding my capabilities to stay at the forefront of AI and machine learning advancements.
Skills
Experience Level
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Intermediate
Intermediate
Intermediate
Intermediate
Intermediate
Intermediate
Language
Afar
Intermediate
Bashkir
Intermediate
Work Experience
Graduate Student Assistant – Data Analytics at CSUN Career Center
November 1, 2024 - PresentAnalyzed raw student-job interaction data from the Handshake platform using Pandas and NumPy to identify engagement patterns and hiring bottlenecks. Built dynamic ETL pipelines to standardize and aggregate data, improving data reliability for downstream analytics. Developed Power BI dashboards that translated engagement data into actionable visual insights, improving advisor-student match strategies. Designed SQL queries to extract and summarize longitudinal hiring data, supporting evidence-based employer outreach. Applied cosine similarity-based resume-job scoring algorithms to improve automated student job recommendations. Automated daily and weekly reports using Jupyter Notebooks and cron-based schedulers, reducing reporting workload by 70%. Conducted time series analysis on student applications to predict peak recruiting cycles and inform event planning. Implemented secure data handling protocols aligned with FERPA compliance using role-based access controls and encryption.
Analyst Trainee – Core Technology Operations at Deloitte Consulting
December 31, 2023 - July 25, 2025Designed Python-based ETL workflows to extract, validate, and transform operational data from Snowflake and PostgreSQL, streamlining data readiness for analytics. Created Tableau dashboards to present KPIs on platform uptime, incident resolution time, and SLAs to senior stakeholders. Developed and managed Jenkins CI/CD pipelines to automate deployment of dashboards and perform pre-release data checks. Diagnosed data pipeline failures and performed RCA using log analysis and stakeholder interviews, reducing report downtime by 35%. Authored detailed SOPs and reusable code modules to ensure onboarding efficiency and platform consistency. Led SQL query optimizations using EXPLAIN plans and index tuning to improve dashboard load times. Conducted periodic data audits, raising data accuracy across internal dashboards by 18%. Participated in Agile ceremonies to align analytics workstreams with client priorities.
ML & Web Development Intern at Raymedis Medical Technologies
May 31, 2023 - July 25, 2025Identified the need for early-stage disease prediction support in underserved clinical environments and built a web-based solution integrating ML and intuitive UI. Developed a backend in Python Flask integrated with a Random Forest model trained on clinical datasets to predict disease likelihood based on patient-entered symptoms. Conducted exploratory data analysis and applied feature selection techniques to improve signal clarity, boosting prediction accuracy to 88%. Created RESTful APIs to connect the ML backend with a responsive frontend tailored for medical use. Designed an interactive dashboard for physicians displaying diagnostic confidence scores, case history, and model outputs. Collaborated with domain experts to map medical terminology to input features to improve clinical relevance. Ensured HIPAA compliance with encryption and role-based access control. Deployed the tool in a local network setting for feedback-driven testing and iterated on UI/UX based on usability surveys.
Graduate Student Assistant – Data Analytics at CSUN Career Center
November 1, 2024 - PresentAnalyzed raw student-job interaction data from the Handshake platform using Pandas and NumPy to identify engagement patterns and hiring bottlenecks. Built dynamic ETL pipelines to standardize and aggregate data, improving data reliability for downstream analytics. Developed Power BI dashboards that translated engagement data into actionable visual insights, improving advisor-student match strategies. Designed SQL queries to extract and summarize longitudinal hiring data, supporting evidence-based employer outreach. Applied cosine similarity-based resume-job scoring algorithms to improve automated student job recommendations. Automated daily and weekly reports using Jupyter Notebooks and cron-based schedulers, reducing reporting workload by 70%. Conducted time series analysis on student applications to predict peak recruiting cycles and inform event planning. Implemented secure data handling protocols aligned with FERPA compliance, using role-based access controls and encryption.
Analyst Trainee – Core Technology Operations at Deloitte Consulting
December 31, 2023 - July 25, 2025Designed Python-based ETL workflows to extract, validate, and transform operational data from Snowflake and PostgreSQL, streamlining data readiness for analytics. Created Tableau dashboards to present KPIs on platform uptime, incident resolution time, and SLAs to senior stakeholders. Developed and managed Jenkins CI/CD pipelines to automate deployment of dashboards and perform pre-release data checks. Diagnosed data pipeline failures and performed RCA using log analysis and stakeholder interviews, reducing report downtime by 35%. Authored detailed SOPs and reusable code modules to ensure onboarding efficiency and platform consistency. Led SQL query optimizations using EXPLAIN plans and index tuning to improve dashboard load times. Conducted periodic data audits, raising data accuracy across internal dashboards by 18%. Participated in Agile ceremonies to align analytics workstreams with client priorities.
ML & Web Development Intern at Raymedis Medical Technologies
May 31, 2023 - July 25, 2025Identified the need for early-stage disease prediction support in underserved clinical environments and built a web-based solution integrating ML and intuitive UI. Developed a backend in Python Flask integrated with a Random Forest model using scikit-learn, trained on clinical datasets to predict disease likelihood based on patient-entered symptoms. Conducted exploratory data analysis and applied feature selection techniques to improve signal clarity, boosting prediction accuracy to 88%. Created RESTful APIs to connect the ML backend with a responsive HTML/CSS frontend tailored for medical use. Designed an interactive dashboard for physicians, displaying diagnostic confidence scores, case history, and model outputs. Collaborated with domain experts to map medical terminology to input features, improving real-world clinical relevance and minimizing prediction ambiguity. Ensured HIPAA compliance by using encryption for mock patient records and implementing role-based access control. Depl
Education
Bachelor of Computer Science & Engineering at Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology, Chennai, India
January 1, 2019 - May 31, 2023Master of Computer Science at California State University, Northridge (CSUN)
January 1, 2025 - July 25, 2025Bachelor of Computer Science & Engineering at Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology, Chennai, India
January 1, 2023 - May 31, 2023Qualifications
Google Cloud Platform – Fundamentals
May 1, 2023 - May 31, 2023AWS Academy Data Analytics
April 1, 2022 - April 30, 2022Oracle Cloud Infrastructure Architect Professional
December 1, 2021 - December 31, 2021AWS Academy Machine Learning Foundations
October 1, 2021 - October 31, 2021Google Cloud Platform – Fundamentals
May 1, 2023 - May 31, 2023AWS Academy Data Analytics
April 1, 2022 - April 30, 2022Oracle Cloud Infrastructure Architect Professional
December 1, 2021 - December 31, 2021AWS Academy Machine Learning Foundations
October 1, 2021 - October 31, 2021Industry Experience
Healthcare, Software & Internet, Professional Services, Education, Financial Services, Life Sciences
Skills
Experience Level
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Intermediate
Intermediate
Intermediate
Intermediate
Intermediate
Intermediate
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