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CS + Social Science Undergraduate @iiitd'27
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Indraprastha Institute of Information Technology
Data Scientist
June 18, 2026 – Present
GS-Hackathon-2026
June 8, 2026 – Present
Ranked 2034/16,000 (Top 12.7%) in Goldman Sachs India Hackathon 2026. Repository contains optimized C++20 solutions for all three CS-track challenges.
View ProjectCustom-Redis
June 3, 2026 – Present
A high-performance, asynchronous in-memory key-value store built in C++20 using Linux epoll, featuring a zero-copy RESP parser, active key eviction, and AOF persistence.
View ProjectStore-Intelligence-System
June 1, 2026 – Present
A containerized real-time retail analytics stack processing concurrent camera feeds via isolated processes, tracking shopper trajectories with spatial-temporal identity stitching, and predicting customer conversion likelihoods early in the journey.
View ProjectReal_Time_Trade_Risk_Monitor
May 20, 2026 – Present
High-throughput, low-latency financial risk engine built with FastAPI, Redis and PostgreSQL. Tracks live positions, calculates Historical Value-at-Risk (VaR) and triggers automated risk alerts in real-time.
View ProjectFinance_Data_Processing_and_Access_Control_Backend
April 3, 2026 – Present
Backend system for financial data processing and dashboard analytics built with FastAPI, PostgreSQL, and JWT authentication. Features role-based access control, transaction management, filtering, analytics APIs and secure enterprise-style backend architecture.
View ProjectElection_Data_Analysis
December 16, 2025 – Present
Research-oriented electoral influence analysis exploring political power structures, material vs ideological influence, and post-merger dynamics. Includes publication-grade visualizations incorporated into a Routledge book on Pakistan's northwest borderlands.
View Projectfdi-network
September 16, 2025 – October 1, 2025
FDI partner network visualization with centrality metrics, clustering, and community detection (using OECD data, graph theory, and NetworkX).
View Projectindia-fdi-heterogeneity
September 16, 2025 – September 16, 2025
Analysis of India’s FDI regulatory heterogeneity vs key partners using OECD data
View Projectwater_pipeline_management_system
June 25, 2025 – June 25, 2025
water_pipeline_management_system — GitHub repository
View ProjectDeep-Learning-Based-NER-Models
June 25, 2025 – June 25, 2025
Building a transformer-based NER model using spaCy and RoBERTa to extract entities, such as quantity, unit, state, from 10,000+10,000 NER Phrases data. Furthermore, preprocessing BIO-tagged data and fine-tuned the model, achieving high F1 performance on domain-specific entity recognition.
View ProjectCultural Fit Analysis
The candidate's project portfolio shows a strong inclination towards data science, backend development, and competitive programming. The projects are diverse, ranging from financial risk monitoring to retail analytics and electoral influence analysis, indicating a broad interest and ability to apply technical skills across different domains. The 'Data Scientist' role at Indraprastha Institute of Information Technology aligns well with the candidate's demonstrated project experience in data analysis and machine learning. The personal projects suggest a strong drive for learning and building, which is a positive indicator for cultural fit in a technically driven environment. However, the lack of team-based project descriptions or explicit collaboration experiences makes it difficult to fully assess team cultural fit.
Soft Skills & Operational Fit
The candidate's project descriptions indicate a proactive and self-driven individual capable of tackling complex technical challenges. The diversity of projects suggests adaptability and a strong problem-solving orientation. However, without specific psychometric or English test results, a comprehensive assessment of soft skills, stress handling, and team collaboration is not possible.