Ergode

• Spearheaded the development of AI-powered product listing tools for various e-commerce platforms, resulting in a significant reduction in human errors and monthly savings exceeding $2000.
• Engineered a centralized shipment tracking system that saved 150 manual hours of operations team featuring predictive alerts for delayed shipments, enhancing overall end-user satisfaction.
• Crafted an end-to-end solution leveraging AI and ML methodologies to optimize vendor relations 
management, fostering enhanced partnerships, seamless vendor onboarding, and empowering the organization with data-driven insights for strategic decision-making and sustainable growth.
• Supervising a team of 4 professionals, responsible for fulfilling data science needs across all organizational verticals.
• Overseeing deployments, technical documentation, and the architecture of large-scale software solutions.
• Addressing Business Intelligence requirements by delivering intelligent dashboards and implementing scheduled reporting via Metabase.

Data Scientist - Tech Manager

Workruit

• Adding on new product advancements to existing products based on AI.
• Creating new and innovative AI driven products to help the company grow it's clientele.
• Utilising language models and training new ones to tackle NLP related tasks.
• Successfully led the development and implementation of automatic suggestion generation for different job titles, which improved the user experience and increased engagement in platform.
• Conceptualized and developed an Artificial Intelligence Resume Reviewer, an innovative tool that used machine learning algorithms to review resumes and provide actionable feedback.
• Led the development of a Job Description to Resume Matching system using AI, which greatly improved the user experience and reduced time-to-hire for our users.
• Conducted extensive research on emerging AI trends and applied them to solve complex business problems, resulting in streamlined operations and increased profitability.
• Contributed to the development of AI strategies and road-maps for the organization, resulting in a clear path for future AI initiatives and growth.
• Tools used: Flask, Amazon Elastic Beanstalk, Jupyter notebook, Spacy, Python, OpenAI

Data Scientist - AI Engineer

Passion Gaming

Jr Data Scientist

Hexaware Technologies

Developed a tool from scratch using python that could be run easily on Colab which helped the
Quality & Assurance team in reducing human errors and getting things done faster. (That's all anyone ever wants right?)
Completed 2 certifications under the company's cloud challenge initiatives.
Was rated the top band in potential & performance evaluations.
Speaker at a Global event organized for the banking sector clients of the company.
Won Ace performer award for Quarter 2, 2021.

Software Engineer

Associated to Capital Market Domain,
working for one of the major client under banking & Financial sector arm of the company.
Tools worked on includes EAGLE STAR. Primarily in the front end panel development teams
and developing products as per requirements received from client.
Completed foundation level training and e-learning modules on upcoming technologies.

Associate Software Engineer

Trained on SQL, Java, Angular, Git & Python.
Creation of dummy end to end projects utilizing the skills trained on.
Trained on soft-skills enhancement, Strategic thinking and team work.

Graduate Engineering Trainee

KPMG Australia

This was a virtual internship experience aimed to provide practical skills in a simulated project environment.
I got to learn about the different life cycles in an analytics project like:
1. Data Quality assessment
2. Data transformation and adding/mining additional features for the dataset.
3. Data presentation using Power-BI interactive dashboards

Intern

Okkular.io

Being in the AI for retail sector Okkular had a lot to offer in terms of learning:
I worked on: 1. Creating an earrings classification model using PyTorch and FastAi that helped to distinguish between 9 types of earrings
2. Designed a dress type classification model and performed parameter tuning to make it better (PyTorch + FastAi)
3. Using FastText to clean up a large number of raw item descriptions so that they could be used in designing an outfit recommendation model.

Machine Learning Engineer - Intern

IEEE

Was in this just so that I could be part of a technical committee during my graduation years.
But... As it turns out that I am actually good at finance-related stuff so was appointed an Executive position as treasurer.

executive IEEE council member

Experienced problem solver with a passion for data science and emerging technologies. Known for my ability to swiftly tackle challenges and deliver results, dedicated to continuous learning and growth in the field of data science.

With a goal-oriented mindset and a knack for effective communication, I excel in collaborative environments where I can contribute to innovative solutions. My ambition is to leverage my skills and expertise to take on new and challenging roles, while driving mutual success for both myself and the organization.

If you're seeking a dedicated team player with a strong foundation in data science and a drive for excellence, let's connect and explore potential opportunities for collaboration.

Taplio

Rahul Nair's Linkedin Analytics

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