Pranav Karnth Mannur Email and Phone Number
Master's degree graduate with a strong foundation in math, programming logic, and computer systems. Strategic and analytical professional with 3 years of success in data science. Highly proficient in analysing business needs using technical skills to provide data and information analysis to achieve continuous improvement. Skilled in utilising Python libraries, SQL, Excel data sources, Workday Adaptive and Power BI for the purposes of data ingestion, processing, and analysis.Work Rights: Australian Resident – Subclass 485 | Date of expiry : 11/03/2029
Australian College Of Optometry
View- Website:
- aco.org.au
- Employees:
- 93
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Data AnalystAustralian College Of Optometry Apr 2024 - PresentMelbourne, Victoria, Australia1) Querying, analysing, and presenting data to stakeholders: External and Internal. 2) Create reports and dashboards using Workday Adaptive and Microsoft Power BI for the organization’s business divisions. 3) Provide support in preparation of budgets, forecasts and measure financial performance against targets and metrics. 4) Promoting data quality and maintaining integrity throughout the organization by providing education to all staff. 5) Delivery and presentation of reports on a: Daily, Weekly, Bi-weekly, Monthly, Quarterly basis. 6) Respond to ad-hoc data requests for all divisions and levels in the organization. 7) Make large volumes of data usable to the 3 primary divisions: Clinical Services, Research and Education. -
Data Reporting Analyst And Business SupportMann Travel Australia Feb 2022 - Apr 2024Melbourne, Victoria, AustraliaWorking closely with the founder and manager on the business's development and analytics. 1) Transform complex data into actionable insights that drive operational improvements.2) Create reports and dashboards on sales, performance, and customer demographics for the CEO and the manager. 3) Identify key performance indicators (KPIs) for the agency's business units and monitor their performance against goals. 4) Efficiently manage meeting logistics, prepare concise reports, and impactful presentations.5) Engaging with stakeholders to understand evolving business needs and tailor data-driven solutions.6) Investigate analytics to provide insight to optimise marketing campaigns. -
Machine Learning EngineerSiam Computing Feb 2021 - Feb 2022Chennai, Tamil Nadu, IndiaWorked in collaboration with the Chief Technology Officer to create and deploy machine learning models. The projects I worked on:1. Recommendation Engine2. Attendance System using Facial Recognition3. Real time sound emotion analysis4. OCR based text extraction -
Research Assistant - Data ScienceIndian Institute Of Science (Iisc) Dec 2019 - Jul 2020Banglore1. Created custom image datasets and performed image processing.2. Performed the study of various machine learning algorithms such as YOLO , RCNN , F- RCNN for vehicle detection on Indian roads.3. Co-author: http://troindia.in/journal/ijcesr/vol8iss6/5-46.pdf -
Summer InternDefence Research And Development Organisation (Drdo) Jun 2019 - Jul 2019Bengaluru, Karnataka, IndiaWorked with Robot Operating System (ROS) and SLAM technology by simulating robots in 2D and 3D interface at DRDO CAIR. -
Summer InternIsro - Indian Space Research Organization May 2018 - Jun 2018Bengaluru, Karnataka, IndiaInternship in Satellite communication and embedded systems.
Pranav Karnth Mannur Education Details
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Distinction 3.2/4
Frequently Asked Questions about Pranav Karnth Mannur
What company does Pranav Karnth Mannur work for?
Pranav Karnth Mannur works for Australian College Of Optometry
What is Pranav Karnth Mannur's role at the current company?
Pranav Karnth Mannur's current role is Business Intelligence Lead | 3x Microsoft Certified.
What schools did Pranav Karnth Mannur attend?
Pranav Karnth Mannur attended Rmit University, Sri Venkateswara College Of Engineering, Padma Seshadri Bala Bhavan Sr. Sec. School.
Who are Pranav Karnth Mannur's colleagues?
Pranav Karnth Mannur's colleagues are Laura De Angelis, Dzung Tran, Vicki Mcsweeney, Maggie Fisher, Jan Wang, Courtney Turner, Jianing Yan.
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