Ansh Khandelwal

Engineered responsive UI components using React.js, Next.js, and Tailwind CSS. Worked on web application performance optimization, resulting in a 30% faster load time. Focused on creating modular and reusable components while adhering to design systems and accessibility standards. Collaborated with back-end developers for REST API integration. Conducted unit testing and bug fixing in production-level code. Applied Agile methodologies, used Git for version control, and participated in sprint planning and peer reviews. Strengthened skills in front-end architecture and user-centered design.

Led one of the largest student-led finance and analytics clubs at BITS Pilani, Dubai, organizing strategic initiatives and workshops on financial modeling, investing, and business strategy. Directed a team of 10+ members and mentored junior associates, increasing club engagement by over 40%. Oversaw participation in global programs including Microsoft for Startups and PIEDS Cohort 2, helping secure visibility for student-led projects. Initiated partnerships with campus and external entities, streamlining workflow using tools like Notion, Trello, and Google Drive. Organized planning sessions and ideation meetups that resulted in innovative student-led product strategies. Enhanced member productivity through structured workflows and content-driven engagement. Strengthened skills in project leadership, communication, and team management, bridging the gap between tech, finance, and entrepreneurship on campus.

Assisted in auditing and analyzing customer data for compliance and operational insights. Collaborated with the Quality Control team to evaluate agent performance data using Excel and basic Python scripts. Supported the design of dashboards that identified key process improvements, improving compliance scores by 10%. Helped automate data reporting and visualized metrics for management. Developed a strong understanding of data cleaning, customer interaction metrics, and KPI-driven reporting in a corporate environment. Gained exposure to data handling in CRM and debt collection systems.

Completed a hands-on internship focusing on the foundations of data science and machine learning using Python. Worked on real-world datasets to perform data preprocessing, feature engineering, and model training using scikit-learn. Gained practical exposure to concepts such as supervised learning, classification, and performance evaluation (accuracy, precision, recall). Contributed to group assignments and mini-projects focused on solving business-related problems through data analysis. Strengthened skills in using Pandas, NumPy, Matplotlib, and Jupyter Notebooks for EDA and visualization. This internship solidified my understanding of the ML workflow, from data cleaning to model deployment readiness, and improved collaboration skills through team-based assignments. Tools used: Python, Jupyter, scikit-learn, GitHub.

Engaged in customer interaction and sales research operations for a student-focused platform hosting innovation challenges and hackathons. Contributed to organizing corporate partnerships and outreach programs with a focus on youth engagement. Played a key role in helping the team qualify for accelerator initiatives like Microsoft for Startups and PIEDS Ideate-Create Cohort 2. Supported go-to-market strategy development by conducting market research and identifying key product gaps and student needs. Managed data entry and outreach tracking to streamline team operations and improve client follow-up accuracy. Developed strong interpersonal communication skills and gained exposure to sales planning, stakeholder communication, and early-stage product positioning. Tools used: Google Workspace, Microsoft Excel, Trello, Canva.