Avas Bajracharya

Data Scientist

https://talent.gravityer.com/avas-bajracharya

Data-driven CS graduate student with hands-on experience in analytics, ML models, and data pipelines

East Tennessee State University

Key Strengths

Demonstrated interest in data analysis and pipeline development through projects like 'youtube-trend-analysis' and 'Goodreads-ETL-Pipeline'.
Experience with Python for data-related tasks.
Exposure to data visualization tools like Streamlit.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's projects show a strong inclination towards data science and analytics, which aligns with the target role. However, the diversity of projects also includes front-end development (instaClone, Tic-Tac-Toe, fight-covid), which might indicate a broader interest beyond the specific target role or a lack of focused specialization. The single listed work experience as 'Data Scientist' at East Tennessee State University is current but lacks details on responsibilities or achievements, making it difficult to fully assess cultural fit within a professional data science team.

Soft Skills & Operational Fit

Insufficient data to assess soft skills and operational fit. Psychometric test scores are 0, providing no insight.

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Evaluating your skill match against the job requirements…

Assessing your cultural and operational fit

Projects

youth-mental-analysis

June 15, 2026 – Present

youth-mental-analysis — repository

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airbnb-analytics-v2

June 6, 2026 – Present

airbnb-analytics-v2 — repository

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dbt-practice-jaffle-shop

May 30, 2026 – Present

dbt-practice-jaffle-shop — repository

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bank-performance-analysis

April 29, 2026 – Present

Designed a data-driven solution to analyze branch profitability and performance, helping identify underperforming locations and uncover key factors impacting revenue and operational efficiency.

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ai-powered-ticket-workflow-automation-

April 27, 2026 – Present

AI-powered smart ticketing system with automated assignment, skill matching, helpful notes, and status updates.

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Goodreads-ETL-Pipeline

March 29, 2026 – Present

A production-grade data platform for ingesting and analyzing Goodreads metadata using a distributed S3-to-Redshift architecture and custom Analytics modules.

View Project

youtube-trend-analysis

May 15, 2025 – Present

A complete data pipeline project that ingests trending YouTube video data and performs analysis (e.g., engagement and time-based trends), and visualizes insights through an interactive Streamlit dashboard

View Project

fight-covid

September 2, 2020 – September 22, 2020

fight-covid — repository

View Project

instaClone

July 31, 2020 – July 31, 2020

instaClone — repository

View Project

Tic-Tac-Toe

May 11, 2020 – May 11, 2020

Tic-Tac-Toe — repository

View Project

Key Strengths

Demonstrated interest in data analysis and pipeline development through projects like 'youtube-trend-analysis' and 'Goodreads-ETL-Pipeline'.
Experience with Python for data-related tasks.
Exposure to data visualization tools like Streamlit.

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit

Insufficient data to assess soft skills and operational fit. Psychometric test scores are 0, providing no insight.

Avas Bajracharya

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Experience

Projects

Key Strengths

Cultural & Operational Fit