Sai Sudhiksha Reddy Chennugari
Junior Software Engineer at UTS Rapido- Claim this Profile
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Hindi Native or bilingual proficiency
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Telugu Native or bilingual proficiency
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English Full professional proficiency
Topline Score
Bio
Credentials
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Deep Learning Specialization
DeepLearing.aiJul, 2020- Nov, 2024 -
Machine Learning
Stanford OnlineMay, 2020- Nov, 2024 -
Math for Machine Learning Specialization
Imperial College LondonApr, 2020- Nov, 2024
Experience
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UTS Rapido
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Australia
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Research Services
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1 - 100 Employee
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Junior Software Engineer
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Jul 2023 - Present
• Revamped website structure by integrating dynamic storyblok components, enabling client to edit content without coding and built Quiz feature using Router from Next.js and translated the website to 16 languages using AWS Translate API.• Currently performing comprehensive data analysis on large datasets, utilizing data preprocessing methodologies and constructing predictive models using ML algorithms to anticipate customer demand for specific insurance products, resulting in more targeted marketing and product development strategies. Show less
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Software Engineer Intern
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Jan 2023 - Jun 2023
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The Australian National University
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Australia
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Higher Education
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700 & Above Employee
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Casual Sessional Academic (Tutor)
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Feb 2022 - Present
• Providing weekly tutorials for students in order to enhance their understanding of the course concepts. • Evaluating and providing constructive feedback to the students’ course assessments. Past courses- Sem 1, 2022: COMP2620 (Logic), COMP3120 (Managing Software Development) Sem 2, 2022: COMP2120 (Software Engineering), COMP3600 (Algorithms) Sem 1, 2023: COMP2620 (Logic), COMP3120 (Managing Software Development) Current courses- Sem 2, 2023: COMP2120 (Software Engineering), COMP3820 (Computing Internship) Show less
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National Computational Infrastructure
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Australia
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Research
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1 - 100 Employee
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Data Analyst Intern
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Feb 2022 - Jun 2022
• Conducted topic coherence analysis on LSI algorithm to determine the optimal number of topics, resulting in 7 topics with a coherence score of 0.44 and an estimated 87% of literature written in English. • Utilized LDA algorithm for highest accuracy and efficiency in determining 4 initial topics, but ultimately determined that 7 topics were most suitable for the project’s needs based on manual analysis of topic relevance and distribution. • Analyzed clusters of documents within each topic, allowing for further understanding of the algorithm’s identification process and supporting accurate determination of topic names using relevant metrics. Show less
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Education
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The Australian National University
Bachelor of Advanced Computing (Honours), Computer Science -
Manipal Academy of Higher Education
Bachelor of Applied Science, Computer Science -
FIITJEE
High School -
Little Flower High School - Hyderabad
High School