Aakriti

Data Scientist

https://talent.gravityer.com/aakriti

building stuff

Noida, Uttar Pradesh, IndiaMember since June 19, 2026

Key Strengths

Demonstrated interest in Data Science and Machine Learning through personal projects like 'ipc-legal-reasoning-slm', 'Smart-Waste-Inspector', and 'Traffic-Incident-Forecasting'.
Experience with Python and Jupyter Notebook, essential tools for Data Scientists.
Exposure to various machine learning models (SARIMA, LSTM, GRU) and deep learning concepts.

Cultural & Operational Fit

Cultural 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.

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Assessing your cultural and operational fit

Projects

bili-legal

May 19, 2026 – Present

bili-legal — GitHub repository

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cross-sell-propensity-model

May 16, 2026 – Present

cross-sell-propensity-model — GitHub repository

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ipc-legal-reasoning-slm

May 4, 2026 – Present

Two-stage training for Chain-of-Thought reasoning in small legal language models

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Nibble

March 24, 2026 – Present

Nibble — GitHub repository

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aakritisukumar.github.io

November 25, 2025 – Present

aakritisukumar.github.io — GitHub repository

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Smart-Waste-Inspector

July 11, 2025 – July 12, 2025

Smart-Waste-Inspector — GitHub repository

View Project

Traffic-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.

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LetterGen

June 20, 2025 – June 21, 2025

LetterGen is a full-stack app to generate formal letters with customizable tone and PDF download.

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Deep-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.

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MyntraHackerRamp

July 14, 2024 – December 14, 2024

MyntraHackerRamp — GitHub repository

View Project

Key Strengths

Demonstrated interest in Data Science and Machine Learning through personal projects like 'ipc-legal-reasoning-slm', 'Smart-Waste-Inspector', and 'Traffic-Incident-Forecasting'.
Experience with Python and Jupyter Notebook, essential tools for Data Scientists.
Exposure to various machine learning models (SARIMA, LSTM, GRU) and deep learning concepts.

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit

Insufficient data to assess soft skills and operational fit. The psychometric test score is 0, providing no insights.

Aakriti

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Projects

Key Strengths

Cultural & Operational Fit