Apr 2024 – Oct 2025 · 1 yr 6 mos · Pune, Maharashtra, India · Hybrid

• 𝗣𝗿𝗶𝗺𝗮𝗿𝘆 𝗣𝗼𝗶𝗻𝘁 𝗼𝗳 𝗖𝗼𝗻𝘁𝗮𝗰𝘁 (𝗣𝗢𝗖) 𝘄𝗶𝘁𝗵 𝗦𝘁𝗮𝗸𝗲𝗵𝗼𝗹𝗱𝗲𝗿𝘀: Led discussions to understand business goals, translated them into AI strategies, and presented insights in business-friendly language.
• 𝗗𝗲𝘃𝗲𝗹𝗼𝗽𝗲𝗱 𝗣𝗿𝗼𝗼𝗳 𝗼𝗳 𝗖𝗼𝗻𝗰𝗲𝗽𝘁𝘀 (𝗣𝗢𝗖𝘀): Created POCs for potential data science use cases and prepared estimates to help clients plan for MVPs and upcoming opportunities.
• 𝗧𝗲𝗮𝗺 𝗟𝗲𝗮𝗱𝗲𝗿𝘀𝗵𝗶𝗽: Led a team of 5, including Data Analysts and Data Scientists, guiding them in performing advanced machine learning experiments and enhancing data-driven solutions.
• 𝗠𝗼𝗱𝗲𝗹 𝗗𝗲𝗽𝗹𝗼𝘆𝗺𝗲𝗻𝘁 & 𝗠𝗟𝗢𝗽𝘀: Oversaw the deployment of machine learning models into production environments using cloud platforms (AWS), leveraging MLOps best practices to ensure scalability and model performance.
• 𝗔𝗪𝗦 𝗚𝗲𝗻𝗔𝗜 𝗔𝗿𝗰𝗵𝗶𝘁𝗲𝗰𝘁 𝗜𝗻𝗶𝘁𝗶𝗮𝘁𝗶𝘃𝗲: Led the AWS GenAI Architect initiative, helping multiple teams across the organization build innovative GenAI solutions using AWS services.
• 𝗟𝗟𝗠 𝗖𝗼𝘀𝘁 𝗘𝘀𝘁𝗶𝗺𝗮𝘁𝗼𝗿 𝗗𝗲𝘃𝗲𝗹𝗼𝗽𝗺𝗲𝗻𝘁: Built and piloted an LLM Cost Estimator for GenAI use cases on AWS and Azure, streamlining cost estimation for client projects.

Jun 2021 – Mar 2024 · 2 yrs 9 mos · Pune, Maharashtra, India · Hybrid

• 𝗖𝗼𝗹𝗹𝗮𝗯𝗼𝗿𝗮𝘁𝗶𝗼𝗻 𝘄𝗶𝘁𝗵 𝗦𝘁𝗮𝗸𝗲𝗵𝗼𝗹𝗱𝗲𝗿𝘀: Working closely with business teams, engineers, and other data professionals to understand business problems, define requirements, and implement data-driven solutions.
• 𝗗𝗮𝘁𝗮 𝗖𝗼𝗹𝗹𝗲𝗰𝘁𝗶𝗼𝗻, 𝗠𝗼𝗱𝗲𝗹 𝗗𝗲𝘃𝗲𝗹𝗼𝗽𝗺𝗲𝗻𝘁 & 𝗘𝘃𝗮𝗹𝘂𝗮𝘁𝗶𝗼𝗻: Collected and cleaned data, developed machine learning models on AWS, trained and tuned them, and evaluated performance to solve business problems.
• 𝗗𝗲𝗽𝗹𝗼𝘆𝗺𝗲𝗻𝘁 𝗼𝗳 𝗠𝗼𝗱𝗲𝗹𝘀: Implementing and integrating machine learning models on AWS in production environments and ensuring their scalability and reliability.
• 𝗔𝗻𝗼𝗺𝗮𝗹𝘆 𝗗𝗲𝘁𝗲𝗰𝘁𝗶𝗼𝗻: Utilizing historical data to identify anomalies in historical data that is used for decision-making.
• 𝗢𝗽𝘁𝗶𝗺𝗶𝘇𝗮𝘁𝗶𝗼𝗻 & 𝗧𝘂𝗻𝗶𝗻𝗴: Continuously refining and improving model performance, accuracy, and efficiency based on real-time feedback and new data.
• 𝗗𝗮𝘁𝗮 𝗣𝗶𝗽𝗲𝗹𝗶𝗻𝗲 𝗠𝗮𝗻𝗮𝗴𝗲𝗺𝗲𝗻𝘁: Developing and maintaining data pipelines, ensuring smooth data flow between systems, and optimizing for speed and reliability.

Dec 2018 – Jun 2021 · 2 yrs 6 mos

• Worked for a highly demanding and critical process of the 𝗯𝗮𝗻𝗸 to 𝗺𝗮𝗶𝗻𝘁𝗮𝗶𝗻 𝗱𝗮𝘁𝗮 𝗽𝗶𝗽𝗲𝗹𝗶𝗻𝗲.
• Ensuring the 𝘀𝗲𝗮𝗺𝗹𝗲𝘀𝘀 𝗼𝗽𝗲𝗿𝗮𝘁𝗶𝗼𝗻 of the 𝗱𝗮𝘁𝗮 𝗽𝗶𝗽𝗲𝗹𝗶𝗻𝗲 to optimize performance.
• 𝗔𝗻𝗮𝗹𝘆𝘇𝗶𝗻𝗴 𝗰𝗮𝗺𝗽𝗮𝗶𝗴𝗻 𝗮𝗻𝗱 𝗰𝘂𝘀𝘁𝗼𝗺𝗲𝗿 𝗱𝗮𝘁𝗮 to address and resolve user-facing issues.
• Identifying and fixing code bugs to 𝗲𝗻𝗵𝗮𝗻𝗰𝗲 𝘁𝗵𝗲 𝗲𝗳𝗳𝗶𝗰𝗶𝗲𝗻𝗰𝘆 of the data pipeline.
• Conducting data manipulation and 𝗴𝗲𝗻𝗲𝗿𝗮𝘁𝗶𝗻𝗴 𝗰𝗼𝗺𝗽𝗿𝗲𝗵𝗲𝗻𝘀𝗶𝘃𝗲 𝗿𝗲𝗽𝗼𝗿𝘁𝘀 in Excel.

Aug 2018 – Dec 2018 · 4 mos

• Completed a comprehensive 3-month Teradata training program, 𝗴𝗮𝗶𝗻𝗶𝗻𝗴 𝗲𝘅𝗽𝗲𝗿𝘁𝗶𝘀𝗲 𝗶𝗻 𝗱𝗮𝘁𝗮𝗯𝗮𝘀𝗲 𝗺𝗮𝗻𝗮𝗴𝗲𝗺𝗲𝗻𝘁, 𝗱𝗮𝘁𝗮 𝘄𝗮𝗿𝗲𝗵𝗼𝘂𝘀𝗶𝗻𝗴, 𝗮𝗻𝗱 𝗮𝗱𝘃𝗮𝗻𝗰𝗲𝗱 𝗦𝗤𝗟 𝗳𝘂𝗻𝗰𝘁𝗶𝗼𝗻𝗮𝗹𝗶𝘁𝗶𝗲𝘀.
• Achieved Teradata 16 Certification, demonstrating 𝗽𝗿𝗼𝗳𝗶𝗰𝗶𝗲𝗻𝗰𝘆 𝗶𝗻 𝗧𝗲𝗿𝗮𝗱𝗮𝘁𝗮 𝗮𝗿𝗰𝗵𝗶𝘁𝗲𝗰𝘁𝘂𝗿𝗲, database performance optimization, and data analytics capabilities.

Aug 2017 – Apr 2018 · 8 mos · Mumbai Metropolitan Region · Remote

• Won a consolation prize in the 𝗦𝗺𝗮𝗿𝘁 𝗜𝗻𝗱𝗶𝗮 𝗛𝗮𝗰𝗸𝗮𝘁𝗵𝗼𝗻 under ISRO and was offered a R&D internship to develop a prototype.
• Researched 𝘀𝗲𝗰𝘂𝗿𝗶𝘁𝘆 𝗮𝗹𝗴𝗼𝗿𝗶𝘁𝗵𝗺𝘀 and implemented a secure email and web server.
• Used 𝘀𝘁𝗲𝗴𝗮𝗻𝗼𝗴𝗿𝗮𝗽𝗵𝘆 𝗳𝗼𝗿 𝗲𝗺𝗮𝗶𝗹 𝘀𝗲𝗻𝗱𝗲𝗿 𝗮𝘂𝘁𝗵𝗲𝗻𝘁𝗶𝗰𝗮𝘁𝗶𝗼𝗻 and built a 𝗱𝗲𝗰𝗲𝗻𝘁𝗿𝗮𝗹𝗶𝘇𝗲𝗱 𝗻𝗲𝘁𝘄𝗼𝗿𝗸 𝗳𝗼𝗿 𝗲𝗺𝗮𝗶𝗹 𝘁𝗿𝗮𝗻𝘀𝗺𝗶𝘀𝘀𝗶𝗼𝗻 without third-party digital certificates.
• Executed the project using 𝗕𝗹𝗼𝗰𝗸𝗰𝗵𝗮𝗶𝗻 𝗧𝗲𝗰𝗵𝗻𝗼𝗹𝗼𝗴𝘆.