Rakesh Nain Email & Phone Number

Chennai, Tamil Nadu, India

Noida, Uttar Pradesh, India

Roles and Responsibilities:- Tackle client challenges by designing and implement end-to-end data science solutions using generative AI (LLMs, Large Multi-Modals and their finetuning based on the use cases) or traditional machine learning from data collection, preprocessing to model development and deployment- I ensure optimal model performance, engage in cross-functional collaboration, and deliver insights to clients through effective communication.- My role contributes to R systems consultancy prowess in delivering innovative and impactful solutions that address diverse business needs of clients.Achievements:- Increased the RAG Application accuracy by 40%.

Roles and Responsibilities:- Develop state-of-the-art machine learning and deep learning algorithms/models for visual recognition tasks, such as segmentation and detection.- Collaborate closely with multidisciplinary teams of software engineers, hardware engineers, business leaders and other key players to develop Artificial Intelligent machines.- Data Collection, EDA, Data Cleaning, ML Model Development(R&D) and deployment.Achievements:- Developed object detection and instance segmentation algorithm taking around 50 times less RAM in training with only twice extra time in inference as compared to present state-of-the-art algorithms in the market.- Improved grains classification results by 20%, and fruits defect detection results by 12%.

Noida, Uttar Pradesh, India

Roles and Responsibilities:Started as a Software Developer in the “My DishTV” Android App project but later shifted to Zee5 OTT Project as a Data Scientist, where key roles and responsibilities were:- Exploring and preparing machine learning approaches to perform personal recommendations.- Data collection, preprocessing, analysis, analyzing performance metrics, building and tuning hyperparameters of models.- Presenting information/results to higher management using data visualization techniques.Achievements:- Increased CTR by 15% and take-rate by 10%.Technologies used: Python, Pandas, scikit-learn, NumPy, Matplotlib

Master'S Degree, Data Science, Gpa 2.8 (4.0 Gpa Scale) | Wam 71.1 %

Activities and Societies: Monash Data Science SocietyCoursework Units: FIT9132 Introduction to databases FIT9133 Programming foundations.

Bachelor'S Degree, Computer Science, 66.25%

Activities and Societies: Techno-Cultural Fest Organiser Society. Coordinated Street Dance event in the Techno-Cultural.