Jan 2024 – Jun 2024 · 5 mos · Bengaluru, Karnataka, India · On-site

• Implementing Agile practices in the Aerospace business unit, optimizing fleet and asset management applications
• within customer portals, thereby enhancing operational efficiency and responsiveness.
• Developing automated testing using Nightwatch.js for the Engine change tool, accelerating delivery & ensuring
• precision.
• Contributing to the creation of a customer portal feature automating asset transfers, saving 583 man-hours annually for the support team.
• Embracing GE leadership behaviors during internship, fostering a culture of accountability and collaboration.

May 2023 – Jul 2023 · 2 mos · Gurugram, Haryana, India · Hybrid

May 2022 – Jun 2022 · 1 mo

• Worked on Data Analysis Track in which I developed a unique approach using several different technology stacks in combination with the latest web technologies and performed automated machine learning and formulating intricate visualizations in Python.
• Used Manual Spectral clustering followed by 9 advanced clustering methodologies.
• Created a responsive material UI-based dashboard with a dual light/dark theme where I have presented all of my findings.
• Deployed all the 9 models upon which different graphical outputs, as well as other numerical metrics, allow us to find patterns and gauge and prepare the automotive industry for future trends.
• Extracted different aspects of information from the dataset which provides customizable automated machine learning to power the future direction of the automotive industry.
• Github Link: https://github.com/micepram/MS-Engage-22/

Oct 2021 – Sep 2022 · 11 mos

Aug 2021 – Sep 2021 · 1 mo

• Additionally upskilled via other training by the Microsoft team on the Microsoft Learn platform and got certified by Microsoft Evangelists in over 2 Learning Paths with each consisting of 2 - 6 courses.
• Collaborated with my fellows to co-conducted multiple events with 100+ participants to raise awareness about Big Data & Deep Learning on Microsoft Azure.
• Working towards building and growing a community of high school and university students online hundred's in strength.
• Acquired tools and training to lead technology discussions and informed students about student benefits like Azure credits.
• Reached the Alpha milestone within 48 hours of joining the program which is close to record time.

Jul 2021 – Aug 2021 · 1 mo

• Selected among a highly selective pool of thousands of applicants of each cohort to work and explore Microsoft technologies.
• Worked on building on connecting, building awareness among the student community.
• Upskilled via training by the Microsoft team on the Microsoft Learn platform and got certified by Microsoft Evangelists in over 4 Learning Paths with each consisting of 2 - 6 courses.

May 2022 – Jul 2022 · 2 mos · Le Mont-sur-Lausanne, Vaud, Switzerland · On-site

• Selected among the top 2% of global applicants for a fully funded fellowship to conduct federated machine learning experiments focused on distributed deep learning under resource constraints.
• Designed training loops and simulation pipelines to evaluate model performance on heterogeneous data; implemented lightweight pre-processing to mitigate bandwidth bottlenecks in realistic network environments.
• Optimized aggregation strategies and communication frequency, achieving an 18% improvement in convergence speed and reducing mean network communication overhead by 23.2%.

Oct 2021 – May 2022 · 7 mos · Remote

• Selected as one of 40 fellows from a pool of 6,200+ applicants (Top 0.65%) for an exclusive 6-month mentorship program; received weekly technical guidance from senior DESIS engineers.
• Developed a fully fledged Recruitment Content Management System (CMS) in Node.js, designed to streamline candidate tracking and automate application workflows.
• Led a team to architect Fin¤fy, a novel fintech product designed to revolutionize financial independence for homemakers; built the backend infrastructure and presented the MVP to firm leadership.

Sep 2021 – May 2022 · 8 mos

Aug 2021 – Dec 2021 · 4 mos

• Selected for the program as an Open Source Contributor among thousands of applicants from India & beyond.
• Promulgating different practices and standards for improvement of open source code.
• Prepared to work on audiovisual documentation of projects along with properly styled and formatted textual representation.
• Will be focused in mentoring students under me in Data Science using R (Rscript & Notebooks).
• Ready to build connections and work with a group of fellow contributors to help improve open source code-bases and make them better accessible to folks with non-technical backgrounds.

Jul 2021 – Aug 2021 · 1 mo · Singapore, Singapore

• Learnt and explored several Computer Vision libraries available for different platforms and languages.
• Worked on 2 tasks under the guidance of previous interns and a rich resource set.
• Built a reverse color identifier using KMeans Clustering based Machine Learning algorithm.
• Architectured an integrated object detection module using a co‐implemented pre‐trained MobileNet & Single Shot Detector reaching accuracy’s of 0.73 – 0.91 on varied input.
• Assisted on a team of 6 interns organizing group meetings and upskilling sessions.
• Co‐conducted 2 workshops on data cleaning and feature engineering with support from several colleagues to help new learners.

Jun 2021 – Aug 2021 · 2 mos

• Worked with the Human Resources Management (HRM) & Information Technology Services (ITS) liason to identify problems and areas of improvement in the HR Software modules.
• Found 2 major issues and collaborated with my co‐interns to refactor and improve 2 integrated platforms.
• First platform had 3 Machine Learning models added to it in a stacked configuration to automate the review analysis process, and with the team, we added analytics and automated metrics. Additionally had a had a sentiment analysis pipeline on enabled performance reviews for key terms related to behavior and abuse of power.
• Second platform was updated to perform automated analysis and added custom filter metric based reporting on multiple unexpected trends for the annual joining and separation platform. Another classification model was integrated to provide with improvement insights.
• I also took part in 8 sets of training sessions and 5 48‐hour workshops.

Jan 2021 – Mar 2024 · 3 yrs 2 mos

• Code2Create: The flagship hackathon of ACM, worked extensively in the sponsorship team raising over 10,000+ and as well as worked on editorial pieces for the website & social media handles, and marketing materials leading a final foot-count of 1300+.
• Summer Bootcamp: To train all the freshers during the summer vacation, we organized a summer bootcamp consisting of 4 domains (Web, App, ML, React) and I worked on editorial pieces as well as marketing to ensure a large number of viewers could attend and the event flowed smoothly.
• Code Plus Plus: Working on the sponsorship and editorial teams for content development as well as forming partnerships. Also contributed on posters for social media for the design team.

Jan 2021 – Mar 2024 · 3 yrs 2 mos

Aug 2020 – Nov 2020 · 3 mos

• Worked with the Corporate Social Responsibility team at Sirona to ensure that they were meeting the required regulations and guidelines.
• Developed a commitment to manage the socioeconomic and environmental affairs of the manufacturing operations.
• Identified potential social sector departments, CSR wings and community organizations
• commensurate to their cause and develop a database.
• Compiled a database of international donor organizations (international foundations, bilateral
• and multilateral agencies, and private corporations offering donations).
• Assisted the lead team in writing project proposals and grant applications through online data
• mining and research.
• Supported the promotional activities of their fundraising campaign on Ketto.
• Performed regular tracking of EOIs / RFPs / Grants from print media and different online websites.
• Assisted in developing communication materials for the social media division of Sirona.
• Policies were developed to ensure all ethical business standards were followed and our contractors were upheld to the same standards.

Jun 2020 – Sep 2020 · 3 mos · Chattogram, Bangladesh

• Assisted the Emergency Response Department in logging patient information as it came in, directing it to the nurse in charge, and helped them in assigning three severity levels.
• Worked with two doctors in the pediatric department with patient information and status management, as well as coordinating with the records department.
• Undertook a special training program that taught me cardiopulmonary resuscitation (CPR) and 16 other fundamental medical techniques.

Mar 2020 – Jun 2020 · 3 mos · Chattogram, Bangladesh

• In the pharmaceutical department, responsible for gathering and working with patient information, including evaluating and validating doctor's prescriptions for completeness and accurate data input according to regulations.
• The sales of medications or other medical equipment were appropriately logged and recorded.
• To meet the requirements of new rules, I implemented a plan for record-keeping via weekly stock checks in collaboration with the head.
• Ensured that adequate medication storage policies and regulations were followed for pharmaceuticals with particular needs.
• To maintain track of records, I checked the cash box after each day-end.