building stuff
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
cross-sell-propensity-model
May 16, 2026 – Present
cross-sell-propensity-model — GitHub repository
View Projectipc-legal-reasoning-slm
May 4, 2026 – Present
Two-stage training for Chain-of-Thought reasoning in small legal language models
View Projectaakritisukumar.github.io
November 25, 2025 – Present
aakritisukumar.github.io — GitHub repository
View ProjectSmart-Waste-Inspector
July 11, 2025 – July 12, 2025
Smart-Waste-Inspector — GitHub repository
View ProjectTraffic-Incident-Forecasting
July 9, 2025 – July 9, 2025
Forecasts road accident trends using classical (SARIMA) and deep learning (LSTM, GRU) models, with a hybrid SARIMA+GRU architecture for improved accuracy. Visualized via a Streamlit dashboard.
View ProjectLetterGen
June 20, 2025 – June 21, 2025
LetterGen is a full-stack app to generate formal letters with customizable tone and PDF download.
View ProjectDeep-Learning
December 14, 2024 – December 14, 2024
This repository contains Jupyter Notebook files showcasing my learning journey during a deep learning internship at Indira Gandhi Delhi Technical University for Women (IGDTUW). These notebooks cover a wide range of foundational concepts and practical implementations in deep learning, demonstrating my understanding and application of key topics.
View ProjectCultural Fit Analysis
The candidate's projects show a strong inclination towards personal learning and exploration across different domains, including legal tech, waste management, and traffic forecasting. This indicates a proactive and self-driven individual. However, the projects are predominantly personal and lack details on team collaboration or professional experience, making it difficult to fully assess cultural fit in a team or corporate environment. The diversity of technologies (Dart, C++, JavaScript, HTML alongside Python) suggests a broad interest but also a potential lack of deep specialization in Data Science specific tools beyond Python/Jupyter Notebook.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The psychometric test score is 0, providing no insights.