Akshay Bhat
Sydney,Australia
Summary
A tech-savvy and results-driven Data Scientist, I am deeply passionate about leveraging the power of data science and Machine Learning to propel business success. I have a solid foundation in Machine Learning, Data Analysis Tools, Cloud-based data technologies, and data mining. Proficient in Python, R, and SQL, and possess hands-on experience in harnessing AWS services to develop and deploy cutting-edge machine learning solutions. My expertise extends to algorithms, data solutions, data management, statistics, and navigating large data sets. With a keen eye for detail and a commitment to driving business solutions, I am dedicated to utilizing my skills and knowledge to deliver impactful results in the dynamic field of data science.
Overview
3
3
years of professional experience
1
1
Certification
Work History
ML / AI Engineer Intern
JCU Founder in Residence Portfolio
, Australia
07.2022 - 09.2023
- Led a successful project turnaround, showcasing analytical leadership and problem-solving abilities, achieving record-breaking delivery time, emphasizing leadership skills
- Designed and implemented an advanced smart mirror for Ingham State High School, featuring real-time interaction through OpenAI's Language Model (LLM), emotion detection through Computer Vision, and affirmations display, highlighting expertise in AI flexible models and technology integration
- Leveraged version control to ensure project integrity and collaborated effectively within team environments, emphasizing data analytics, automation, process optimization, and process improvement, incorporating big data, statistics, and computer science.
Data Science / ML Engineer Intern
Ocean Infinity
, UK
09.2022 - 03.2023
- Implemented flexible Machine learning models and Computer Vision techniques for complex data sets to enhance the saturation of videos and utilized AI techniques for real-time video classification, showcasing proficiency in video processing, AI applications and scalability
- Led the development of an innovative ML architecture for subsea asset monitoring, highlighting advanced AI and machine learning skills
- Demonstrated financial acumen and risk management by achieving significant cost reductions, with quarterly savings of up to 260,000, emphasizing competitive intelligence
- Bridged the gap between theoretical AI concepts, Computer Vision techniques, and practical applications by seamlessly integrating ML technology, incorporating operations research, statistical techniques, and big data.
Data Scientist
Ganadhipa Industries
, India
07.2020 - 08.2021
- Developed statistical and machine learning models for sales forecasting, inventory management, and resource allocation, applying advanced statistical techniques and mathematics
- Conducted thorough customer research to inform and enhance the development of targeted marketing and product management strategies
- Engineered user-friendly GUIs based on business requirements, fostering efficient data analytics, and conducted A/B testing, refining marketing strategies for retail excellence with a focus on accuracy, flexibility, and simulation of business processes
- Integrated business metrics, customer satisfaction insights, and applied operations research techniques.
Education
Master of Data Science -
James Cook University
09.2023
B.E (Robotics) -
KLE Technological University
07.2020
Skills
- Python
- R
- SQL
- Tableau
- A/B Testing
- Data Analysis
- Mathematics
- Statistics
- Predictive modelling
- Statistical Data Analysis
- Machine learning
- Deep Learning
- Research
- Quantitative Analysis
Certification
- Introduction to Data Curation for SAS Data Scientists
- SAS Data Management Tools and Applications
- Complete Python Developer
- Machine Learning A-Z
Projects
-> Churn Prediction & Intervention Strategies (Personal Project)
- Goal: Develop a data-driven system to recommend personalized books based on user preferences.
- Approach:Analyzed user data (reading history, ratings, genres) to identify patterns and interests.
Implemented machine learning models (collaborative filtering, content-based) for book recommendations.
Incorporated advanced features like author similarity, contextual recommendations.
- Evaluation:Monitored user engagement, click-through rates, and purchase conversions.
Iteratively refined model based on user feedback and performance metrics.
- Impact:Increased user engagement and discovery of new books.
Improved user satisfaction and overall experience.
Demonstrated ability to apply machine learning and data analysis for real-world impact.
- Tech Skills: Machine learning, data analysis, statistics, Python, SQL.
Projects
Personalized Book Recommendation Engine (Personal Project)
- Goal: Explore churn prediction & mitigation using machine learning.
- Approach:Developed simulated user data for a subscription service. Built churn prediction models (logistic regression, random forests). Designed personalized interventions (recommendations, discounts). Continuously evaluated & refined strategies.
- Key Learnings:Deep understanding of churn prediction & intervention methods. Hands-on data analysis, model development & evaluation. Strong communication skills in project documentation.
- Tech Skills: Machine learning, data analysis, statistics, Python.
Referees
SAMANTHA J HORSEMAN
Advisory Board Member | AI Hub Director
Mob - 0419839907
Email - samantha.horseman@jcu.edu.au
Timeline
Data Science / ML Engineer Intern
Ocean Infinity
09.2022 - 03.2023
ML / AI Engineer Intern
JCU Founder in Residence Portfolio
07.2022 - 09.2023
Data Scientist
Ganadhipa Industries
07.2020 - 08.2021
Master of Data Science -
James Cook University
B.E (Robotics) -
KLE Technological University
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