Dec 2024 – Mar 2025 · 3 mos · Bengaluru, Karnataka, India · Remote

Nov 2023 – Dec 2024 · 1 yr 1 mo · Bengaluru, Karnataka, India · Remote

• As a Lead Data Science Instructor, I have spearheaded numerous initiatives aimed at enhancing our curriculum and fostering a robust learning environment for our students. One of my notable achievements includes leading the development of an innovative LLM-based resume reviewer project. This project leverages Large Language Models (LLMs) to automatically review and provide feedback on resumes, significantly improving the quality of job applications for our students.
• In addition to project leadership, I have trained and mentored remote instructors, ensuring they possess the necessary skills and knowledge to deliver high-quality education. My role also involved directing the design and overhaul of several Machine Learning modules, incorporating the latest industry trends and technologies to keep our curriculum cutting-edge. Over my tenure, I have delivered more than 300 hours of live Machine Learning classes, providing hands-on, practical instruction to enhance student understanding and engagement.
• Part of my responsibilities also included conducting interviews for potential instructor roles, selecting top talent to join our teaching team. I have had the privilege of guiding over 8,000 students towards successful careers in Machine Learning and Data Science, offering personalized support and mentorship to help them achieve their career goals. Additionally, I organized and conducted Masterclasses to reach a broader audience beyond Scaler, sharing expert insights and advanced knowledge in Data Science and Machine Learning.
• My role at Scaler has been incredibly rewarding, allowing me to contribute to the professional growth of thousands of aspiring data scientists and machine learning engineers. I am passionate about education and committed to staying at the forefront of the field to deliver the best learning experiences possible.

Dec 2024 – Mar 2025 · 3 mos · Asansol, West Bengal, India · On-site

Sep 2023 – Sep 2023 · 0 mo · Bengaluru, Karnataka, India · Remote

• At Newton School, I taught deep learning part-time, focusing on delivering comprehensive lessons through hands-on projects and interactive methods. I ensured students gained both theoretical knowledge and practical skills, fostering a deep interest in the field. Providing personalized guidance and mentorship, I supported students in achieving their career goals in AI and deep learning. My role aimed to create an engaging learning environment where students could develop critical thinking and problem-solving abilities.

Apr 2023 – Oct 2023 · 6 mos · Bengaluru, Karnataka, India · On-site

• At Akaike Technologies, I am working as a Data Scientist with a focus on medical data. My role involves building sophisticated models to recommend targeted content to sales personnel, and optimizing the sales of various drugs in the pharmaceutical industry.
• I have developed a recommendation model that leverages medical data to provide personalized content suggestions to sales representatives, enabling them to effectively engage with clients and improve sales outcomes.
• Additionally, I have contributed to the development of a text-to-SQL system capable of generating SQL queries and extracting valuable insights across diverse domains such as healthcare and sales. This system empowers users to obtain meaningful information and gain valuable insights from their data.
• Being part of the dynamic environment at Akaike Technologies, I collaborate closely with cross-functional teams to understand the unique requirements of different domains and develop tailored solutions. My expertise in data analysis, machine learning, and natural language processing enables me to deliver impactful insights and contribute to the company's success.
• In this role, I have gained valuable experience in data modeling, recommendation systems, and text analytics. The complexity of working with medical data has challenged me to deliver actionable insights that have a tangible impact on sales strategies and contribute to the overall growth of Akaike Technologies.

Jul 2022 – Sep 2022 · 2 mos · Bengaluru, Karnataka, India · Remote

• As an instructor, I taught students the fundamentals and advanced concepts of Machine Learning, as well as data-wrangling techniques. Through engaging lessons and practical exercises, I equipped students with the skills necessary to understand and apply machine learning algorithms and effectively work with datasets.

May 2021 – Apr 2023 · 1 yr 11 mos · Hyderabad, Telangana, India · On-site

• As a Data and Applied Scientist at Microsoft, I had the privilege of designing and developing an innovative Natural Language Processing (NLP) solution. By harnessing the power of Deep Learning, I created a cutting-edge system capable of extracting keyphrases from diverse sources such as emails, chats, and documents. To enhance keyphrase extraction accuracy, I successfully implemented a BERT-based model.
• Utilizing advanced technologies like Spark and Azure Machine Learning, I efficiently processed large-scale datasets, ensuring optimal performance and scalability. Working collaboratively with cross-functional teams, I seamlessly integrated the NLP solution into Microsoft's comprehensive email and document management system.
• To maintain peak performance, I conducted rigorous performance evaluations and implemented strategic optimizations. This included fine-tuning algorithms, resource optimization, and ensuring efficiency and scalability were at the forefront of system design.
• In this role, my expertise in Deep Learning, Natural Language Processing, and Machine Learning enabled me to make significant contributions to Microsoft's suite of intelligent solutions. I thrived in an environment that valued innovation, collaboration, and the pursuit of excellence.

Jan 2020 – Jun 2020 · 5 mos · Kanpur, Uttar Pradesh, India

Jul 2019 – Dec 2019 · 5 mos · Kanpur, Uttar Pradesh, India

Jan 2019 – Jun 2019 · 5 mos · Kanpur, Uttar Pradesh, India

Jul 2018 – Dec 2018 · 5 mos · Kanpur, Uttar Pradesh, India

Oct 2016 – Jul 2018 · 1 yr 9 mos · Bengaluru, Karnataka, India · On-site

• During my tenure at Tata Consultancy Services, I had the opportunity to work on a challenging project as a Software Developer. I was involved in developing an event management tool for our client using AngularJS 1.4.8 and Spring Boot. As a dedicated team member, I played a crucial role in implementing key features, including timezone support, event calendar display, carousel functionality, and routing.
• Working in agile sprints, both weekly and bi-weekly, with a team size ranging from four to six members, we followed the Scrum Agile Methodology. I actively participated in daily Scrum meetings to ensure effective collaboration and progress tracking.
• Additionally, I was entrusted with the responsibility of serving as the group representative for a team of thirty-two members during the initial training program of sixty days. This role required effective communication and coordination skills, as I facilitated the smooth functioning of the team and acted as a bridge between the team members and the management.
• In this dynamic role, I honed my expertise in AngularJS and Spring Boot, while also gaining valuable experience in agile development practices and team management. I thrived in a fast-paced environment, leveraging my technical skills and collaborative mindset to deliver high-quality software solutions.