Aug 2025 – Present · 10 mos

Jun 2025 – Aug 2025 · 2 mos · Dublin, County Dublin, Ireland

Oct 2024 – Jun 2025 · 8 mos · Dublin, County Dublin, Ireland · On-site

Aug 2024 – Sep 2024 · 1 mo · Dublin · On-site

Sep 2023 – Aug 2024 · 11 mos · On-site

• Developed and Deployed Vision-Based AI Solutions: Successfully tested and deployed fire & smoke detection and people count algorithms on desktop systems and Jetson Nano, ensuring real-world applicability.
• Implemented Advanced Image Processing Solutions: Developed and demonstrated innovative AI-driven tools for image enhancement, stitching, and background removal, showcasing the practical applications of AI in image processing.
• Explored Generative AI and Vision Transformers: Conducted in-depth research and documentation on Generative Adversarial Networks and Vision Transformers, contributing to advancements in computer vision.

Jan 2023 – Jul 2023 · 6 mos · Pune, Maharashtra, India · On-site

• Enhanced Customer Experience by 40\%: Leveraged NLP techniques to analyze and optimize technician feedback, significantly boosting customer satisfaction and service quality.
• Strategic KPI Optimization: Identified and measured key performance indicators across business areas, recommending data-driven improvement strategies that led to measurable business impact.
• Collaborative Data Science Projects: Played an integral role in a dynamic team, contributing to a wide range of data-driven initiatives and gaining comprehensive hands-on experience across the data science lifecycle.

Oct 2021 – Nov 2021 · 1 mo · Remote

• 1. Made our own college-level team who will be campus coordinators and will work under me
• 2. Promoted the event on social media platforms like Whatsapp and Facebook
• 3. I was in constant touch with the NEO team and college students regarding the promotion of the event

Jul 2021 – Aug 2021 · 1 mo · Remote

• The two main purposes of our project were
• 1. Build an ML model — To Predict the popularity of any song by analyzing various metrics in the dataset. This Prediction helps any content creator/musician to understand what Spotify listeners prefer to hear more nowadays which is key in order to compete in the market
• 2. To attain the Objective it's important to start by doing Exploratory Analysis and achieve a few insights from data. Find out which features are highly correlated with the Popularity attribute. The next step is to test different model algorithms and pick the best model based on key evaluation metric (R2 Score)

Jul 2021 – Aug 2021 · 1 mo · Remote

• Youtube advertisers pay content creators based on adviews and clicks for the goods and services being marketed. They want to estimate the adview based on other metrics like comments, likes etc. The problem statement is therefore to train various regression models and choose the best one to predict the number of adviews.

Feb 2021 – Mar 2021 · 1 mo · Sangli, Maharashtra, India

• My Internship at Sparks Foundation was beneficial for me to put my learnings into an actual task. I learned about data science and business analysis. Overall my experience was very good with the sparks foundation and internship provided by them.