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Data Science with 1+ years in Data Analytics and Machine Learning.
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Assessing your cultural and operational fit
Currently pursuing a B.E. in Computer Science and Engineering, Chhavi Dwivedi is an aspiring Data Science professional with hands-on experience in data analytics and machine learning projects. She has built solutions using Python, MySQL, Power BI, Pandas, NumPy, and DistilBERT, demonstrating skills in data cleaning, EDA, SQL analysis, interactive dashboard creation, and model development for recommendation and text classification systems. A recipient of academic excellence, Chhavi is also actively involved in extracurriculars and leadership roles.
Sir M. Visvesvaraya Institute of Technology
B.E. · Computer Science and Engineering
August 1, 2022 – Present
St. Karen's High School
Senior Secondary · 12th CBSE
June 1, 2019 – May 31, 2021
St. Karen's High School
High School · 10th CBSE
N/A – May 31, 2019
Sales Data Analytics Project
May 1, 2026 – Present
Built an end-to-end sales analytics solution using Python, MySQL, and Power BI on a regional sales dataset. Performed data cleaning, EDA, and SQL-based analysis to identify sales trends and customer behavior patterns. Created interactive Power BI dashboards to visualize KPIs, regional sales performance, and business insights.
View ProjectBanking Data Analytics Project
May 1, 2026 – Present
Built an end-to-end banking analytics solution using Python, MySQL, and Power BI. Performed data cleaning, EDA, and SQL analysis to identify customer and operational trends. Created interactive Power BI dashboards to visualize KPIs and customer insights.
News Category Classification using DistilBERT
November 1, 2025 – Present
Developed a DistilBERT-based text classification model to categorize news articles across multiple categories with improved prediction performance. Performed text preprocessing, EDA, tokenization, and model fine-tuning on large-scale news datasets and evaluated results using classification metrics.
Movie Recommendation System
May 1, 2025 – Present
Analyzed and processed a dataset of 5000+ movies using Pandas, NumPy, and EDA to identify content patterns and user preferences. Applied TF-IDF vectorization and cosine similarity to build a personalized movie recommendation system based on genres, cast, and keywords.
Cultural Fit Analysis
The candidate's academic projects demonstrate a focus on data science and analytics, aligning with the target role. The diversity of projects (sales, banking, movie recommendations, NLP) shows a breadth of interest within the data science domain. However, all projects are academic, and there is no professional experience, which limits the assessment of cultural fit in a professional work environment. The candidate is currently pursuing a B.E. degree, indicating an entry-level profile.
Soft Skills & Operational Fit
The candidate's resume indicates involvement in extracurricular activities and positions of responsibility (Head of college Band, Class Representative), suggesting potential for teamwork and leadership. However, without specific behavioral assessment data or interview insights, it's difficult to fully assess soft skills like logical reasoning, work attitude, stress handling, or team collaboration. The psychometric test score is 0, indicating no data for these aspects.