Aug 2023 – May 2024 · 9 mos · Mumbai Metropolitan Region · On-site

• 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.

Nov 2022 – Aug 2023 · 9 mos

• 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

Feb 2022 – Oct 2022 · 8 mos · Panchkula, Haryana, India

Sep 2021 – Sep 2021 · 0 mo · Virtual

• 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

May 2021 – Jul 2021 · 2 mos · Australia

• 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.

Jul 2020 – Feb 2022 · 1 yr 7 mos

• 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.
• AI tool with speech recognition and POS tagging using spacy developed for faster turn around time between clients and BA team.
• Speaker at a Global event organized for the banking sector clients of the company.
• Won Ace performer award for Quarter 2, 2021.

Jan 2020 – Jul 2020 · 6 mos

• 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.

Jun 2019 – Jan 2020 · 7 mos

• 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.

Jan 2016 – Jan 2017 · 1 yr

• 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.