Feb 2025 – Dec 2025 · 10 mos · Gurugram, Haryana, India · Hybrid

• Led data-driven analyses to identify and refine target Healthcare Providers (HCPs) and patient segments,
• increasing campaign reach efficiency by 30% and improving patient engagement outcomes.
• Extracted, cleaned, and integrated complex healthcare datasets from multiple sources, reducing data
• processing time by 25% and ensuring high-quality inputs for predictive modeling and insights.
• Built and deployed tree-based models (XGBoost) to predict HCP prescribing behavior and patient
• treatment pathways with 92% accuracy; leveraged SHAP for interpretability, surfacing the top 5 drivers
• that directly informed targeting strategy.
• Partnered with cross-functional teams to translate model-driven insights into actionable
• recommendations, improving client decision-making and driving a 15% uplift in ROI on commercial
• strategy initiatives.

Jul 2023 – Jan 2025 · 1 yr 6 mos · Pune District, Maharashtra, India

• Developed an 𝗡𝗟𝗣-𝗯𝗮𝘀𝗲𝗱 𝗶𝗻𝗳𝗹𝘂𝗲𝗻𝗰𝗲𝗿 𝘁𝗮𝗴𝗴𝗲𝗿, which increased targeted advertising 𝗲𝗳𝗳𝗶𝗰𝗶𝗲𝗻𝗰𝘆 𝗯𝘆 𝟴𝟬%, generating $80,000 in revenue.
• Led the development of an 𝗮𝘂𝘁𝗼𝗺𝗮𝘁𝗲𝗱 𝗽𝗮𝗿𝘁𝘀 𝗱𝗲𝘁𝗲𝗰𝘁𝗶𝗼𝗻 𝘀𝘆𝘀𝘁𝗲𝗺 for generator maintenance, improving reporting accuracy by 40%.
• Designed and implemented 𝗙𝗖 (𝗙𝘂𝗹𝗹𝘆 𝗖𝗼𝗻𝗻𝗲𝗰𝘁𝗲𝗱) 𝗰𝗹𝗶𝗽 𝗺𝗼𝗱𝗲𝗹𝘀 to enhance action recognition in retail store environments, improving the ability to identify and 𝗽𝗿𝗲𝗱𝗶𝗰𝘁 𝗰𝘂𝘀𝘁𝗼𝗺𝗲𝗿 𝗯𝗲𝗵𝗮𝘃𝗶𝗼𝗿𝘀.
• Utilized 𝗞𝗡𝗡 (𝗞-𝗡𝗲𝗮𝗿𝗲𝘀𝘁 𝗡𝗲𝗶𝗴𝗵𝗯𝗼𝗿𝘀) algorithms in 𝗮𝗰𝘁𝗶𝗼𝗻 𝗿𝗲𝗰𝗼𝗴𝗻𝗶𝘁𝗶𝗼𝗻 systems for retail store environments, optimizing the tracking and recognition of customer actions for better insights and operations.
• Collaborated with cross-functional teams to integrate machine learning models into production, ensuring 𝗵𝗶𝗴𝗵 𝗮𝗰𝗰𝘂𝗿𝗮𝗰𝘆 and reliability of the implemented solutions.
• Spearheaded 𝗔𝗜-𝗱𝗿𝗶𝘃𝗲𝗻 𝗶𝗻𝗻𝗼𝘃𝗮𝘁𝗶𝗼𝗻 to streamline processes, enhance decision-making, and optimize client-facing applications.

Sep 2021 – Oct 2022 · 1 yr 1 mo

• 𝗧𝗮𝘂𝗴𝗵𝘁 𝗰𝗼𝗹𝗹𝗲𝗴𝗲 𝘀𝘁𝘂𝗱𝗲𝗻𝘁𝘀 the fundamentals of 𝗗𝗮𝘁𝗮 𝗦𝗰𝗶𝗲𝗻𝗰𝗲 𝗮𝗻𝗱 𝗗𝗲𝗲𝗽 𝗟𝗲𝗮𝗿𝗻𝗶𝗻𝗴, covering key topics like 𝗱𝗮𝘁𝗮 𝗽𝗿𝗲𝗽𝗿𝗼𝗰𝗲𝘀𝘀𝗶𝗻𝗴, 𝗺𝗮𝗰𝗵𝗶𝗻𝗲 𝗹𝗲𝗮𝗿𝗻𝗶𝗻𝗴 𝗮𝗹𝗴𝗼𝗿𝗶𝘁𝗵𝗺𝘀, 𝗻𝗲𝘂𝗿𝗮𝗹 𝗻𝗲𝘁𝘄𝗼𝗿𝗸𝘀, 𝗮𝗻𝗱 𝗱𝗲𝗲𝗽 𝗹𝗲𝗮𝗿𝗻𝗶𝗻𝗴 𝗳𝗿𝗮𝗺𝗲𝘄𝗼𝗿𝗸𝘀.
• 𝗗𝗲𝘀𝗶𝗴𝗻𝗲𝗱 𝗮𝗻𝗱 𝗱𝗲𝗹𝗶𝘃𝗲𝗿𝗲𝗱 𝗲𝗻𝗴𝗮𝗴𝗶𝗻𝗴 𝗹𝗲𝗰𝘁𝘂𝗿𝗲𝘀 with practical examples to bridge the gap between theoretical knowledge and real-world applications in data science.
• 𝗚𝘂𝗶𝗱𝗲𝗱 𝘀𝘁𝘂𝗱𝗲𝗻𝘁𝘀 𝘁𝗵𝗿𝗼𝘂𝗴𝗵 𝗵𝗮𝗻𝗱𝘀-𝗼𝗻 𝗽𝗿𝗼𝗷𝗲𝗰𝘁𝘀 and assignments, ensuring they gained proficiency in tools like 𝗣𝘆𝘁𝗵𝗼𝗻, 𝗧𝗲𝗻𝘀𝗼𝗿𝗙𝗹𝗼𝘄, 𝗞𝗲𝗿𝗮𝘀, 𝗮𝗻𝗱 𝗣𝘆𝗧𝗼𝗿𝗰𝗵.
• 𝗠𝗲𝗻𝘁𝗼𝗿𝗲𝗱 𝘀𝘁𝘂𝗱𝗲𝗻𝘁𝘀 on developing and deploying machine learning models, fostering critical thinking and problem-solving skills.
• Received positive feedback for 𝗰𝗿𝗲𝗮𝘁𝗶𝗻𝗴 𝗮𝗻 𝗶𝗻𝘁𝗲𝗿𝗮𝗰𝘁𝗶𝘃𝗲 𝗹𝗲𝗮𝗿𝗻𝗶𝗻𝗴 𝗲𝗻𝘃𝗶𝗿𝗼𝗻𝗺𝗲𝗻𝘁 that encouraged collaboration and 𝗲𝗻𝗵𝗮𝗻𝗰𝗲𝗱 𝘀𝘁𝘂𝗱𝗲𝗻𝘁 𝗲𝗻𝗴𝗮𝗴𝗲𝗺𝗲𝗻𝘁.

Sep 2021 – Apr 2022 · 7 mos · Gurugram, Haryana, India · Hybrid

• Researched and implemented multiple face recognition algorithms, including 𝗗𝗲𝗲𝗽𝗙𝗮𝗰𝗲, 𝗔𝗿𝗰𝗙𝗮𝗰𝗲, 𝗙𝗶𝘀𝗵𝗲𝗿𝗙𝗮𝗰𝗲, 𝗮𝗻𝗱 𝗘𝗶𝗴𝗲𝗻𝗙𝗮𝗰𝗲.
• Conducted comparative analysis of 𝘁𝗿𝗮𝗱𝗶𝘁𝗶𝗼𝗻𝗮𝗹 𝘃𝘀. 𝗱𝗲𝗲𝗽 𝗹𝗲𝗮𝗿𝗻𝗶𝗻𝗴-based models to evaluate accuracy and efficiency.
• Developed and optimized 𝗴𝗲𝗻𝗱𝗲𝗿 𝗰𝗹𝗮𝘀𝘀𝗶𝗳𝗶𝗰𝗮𝘁𝗶𝗼𝗻 models, improving recognition accuracy across diverse datasets.
• Analyzed performance metrics to enhance 𝗺𝗼𝗱𝗲𝗹 𝗿𝗼𝗯𝘂𝘀𝘁𝗻𝗲𝘀𝘀, 𝗳𝗲𝗮𝘁𝘂𝗿𝗲 𝗲𝘅𝘁𝗿𝗮𝗰𝘁𝗶𝗼𝗻, 𝗮𝗻𝗱 𝗿𝗲𝗮𝗹-𝘄𝗼𝗿𝗹𝗱 𝗮𝗽𝗽𝗹𝗶𝗰𝗮𝗯𝗶𝗹𝗶𝘁𝘆.
• Explored 𝗱𝗲𝗲𝗽 𝗹𝗲𝗮𝗿𝗻𝗶𝗻𝗴 techniques to improve 𝗳𝗮𝗰𝗶𝗮𝗹 𝗿𝗲𝗰𝗼𝗴𝗻𝗶𝘁𝗶𝗼𝗻 under varying lighting and occlusion conditions.