Headline

Lead Data Scientist at Happiest Minds Technologies

About

With over 8 years of experience in data science, I specialize in building scalable machine learning solutions and driving product innovation across industries. My career includes the successful execution of numerous AI/ML projects—from concept to deployment—focused on solving complex business problems through data-driven decision-making. I’ve led and managed AI/ML teams on initiatives that achieved a 30% increase in productivity and a 25% reduction in time-to-market for key products. I’ve worked closely with cross-functional teams—including product, engineering, and business stakeholders—across geographies to deliver high-impact solutions. My cloud expertise (AWS, Azure) has enabled the seamless deployment and scaling of AI systems in real-world environments. In today’s fast-evolving AI landscape, I take pride in being a fast adopter of emerging technologies. Beyond technical capabilities, I bring a strong track record in leadership and adaptability—navigating ambiguity, mentoring teams, and aligning technical execution with business goals. Known for a pragmatic yet forward-thinking mindset, I thrive where data meets purpose. I enjoy exploring the intersection of technology and psychology, especially how people interact with intelligent systems.

Location

Bengaluru

AI stack

anthropic apis

antigravity

claude code

claude

codex

gemini

Work experience

Lead Data Scientist at Happiest Minds Technologies, Jul 2026 - Present · 3 mos, Bengaluru

Senior Data Scientist at Happiest Minds Technologies, Jul 2024 - Jun 2026 · 2 yrs, Bengaluru, ➤ Led the design and deployment of LLM-based solutions, including generative AI models for both internal tools and client-facing applications, reducing delivery timelines by 25%. ➤ Guided business strategy by collaborating with product and business development teams to align AI solutions with market needs. ➤ Supported pre-sales initiatives, including project estimation, defining SOWs, and technical scoping for enterprise clients. ➤ Mentored and led a team of data scientists, providing hands-on guidance in product development and streamlining ML workflows. ➤ Acted as a technical point of contact for post-deployment support, resolving critical issues and maintaining customer satisfaction. ➤ Led company demos and client-facing showcases, articulating AI value propositions in strategic presentations. ➤ Facilitated collaboration between engineering, analytics, and business units to ensure successful AI project delivery. ➤ Championed ML development standards and best practices, driving operational excellence across data science teams.

Data Scientist at Happiest Minds Technologies, Aug 2021 - Jul 2024 · 3 yrs, Bengaluru, Karnataka, India, ➤ Led the development of anomaly detection systems to identify outliers in real-time data streams, enhancing operational monitoring and reducing false alarms. ➤ Spearheaded the design and deployment of Remaining Useful Life (RUL) prediction models for predictive maintenance, enabling real-time monitoring of asset health and reducing unplanned downtimes. ➤ Designed and developed machine learning models for a range of business problems, using Python, Scikit-learn, PyTorch, and TensorFlow. ➤ Collaborated with cross-functional teams including product managers, engineers, and analysts to deliver data-driven insights. ➤ Contributed to cloud-based deployment of models using AWS and GCP services, improving scalability and response times. ➤ Worked closely with the business analytics team to define success metrics and evaluate model performance. ➤ Participated in company demos and technical presentations to internal teams and clients.

Machine Learning Engineer at ViitorCloud Technologies Pvt. Ltd., Jul 2019 - Aug 2021 · 2 yrs 2 mos, Ahmedabad, Gujarat, India, ➤ Led a high-performing AI/ML team in delivering end-to-end AI-driven products, accelerating development cycles, and improving cross-functional collaboration across product, engineering, and business teams. ➤ Directed the design and implementation of BlockNet, an innovative blockchain-based solution for generating immutable credentials—setting a new benchmark in secure, tamper-proof credentialing systems. ➤ Oversaw backend architecture and development for Core19, enabling seamless digital integration between citizens, businesses, and government bodies—resulting in improved efficiency, transparency, and user engagement within a U.S.-based civic ecosystem. ➤ Championed agile best practices, aligning AI/ML solutions with strategic business goals and delivering high-impact results on schedule. ➤ Actively contributed to roadmap planning, stakeholder communication, and technical mentoring, fostering a culture of innovation and accountability.

Project Trainee at Physical Research Laboratory, Jul 2015 - Jul 2017 · 2 yrs 1 mo, Ahmadabad, ➤ Conducted exploratory data analysis (EDA) on Photometry and Spectroscopy data from the 2017 outburst of Nova Oph 2017, leading to deeper scientific insights and supporting hypothesis-driven research. ➤ Designed and implemented an automated spectral data reduction pipeline in Python for the Near-Infrared Camera Spectrometer (NICS), significantly increasing analysis efficiency, reproducibility, and accuracy. ➤ Streamlined the data processing workflow for large-scale observational datasets, reducing manual intervention and accelerating turnaround time for scientific interpretations. ➤ Contributed to the overall research effort by enabling data-driven decision-making, supporting publication-quality results, and enhancing the overall productivity of the observational astronomy team.

Education

Data Science Transition, Data Science, GreyAtom

Master of Science (M.Sc), Physics, CHARUSAT