CHHAVI DWIVEDI

Data Science

https://www.opentalent.in/chhavi-dwivedi

Data Science with 1+ years in Data Analytics and Machine Learning.

Key Strengths

Demonstrated proficiency in Python, SQL, and data analysis tools (Pandas, NumPy, Power BI).
Experience with machine learning concepts including TF-IDF, cosine similarity, and DistilBERT for NLP tasks.
Completed multiple academic projects showcasing end-to-end data analytics and machine learning workflows.
Familiarity with data cleaning, EDA, and model evaluation techniques.
Strong academic background in Computer Science and Engineering.

Cultural & Operational Fit

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.

AI is analyzing your overall score…

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Evaluating your skill match against the job requirements…

Assessing your cultural and operational fit

About

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.

Top Skills

PythonSQLPower BIData Analysis

Education

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

Projects

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 Project

Banking 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.

Key Strengths

Demonstrated proficiency in Python, SQL, and data analysis tools (Pandas, NumPy, Power BI).
Experience with machine learning concepts including TF-IDF, cosine similarity, and DistilBERT for NLP tasks.
Completed multiple academic projects showcasing end-to-end data analytics and machine learning workflows.
Familiarity with data cleaning, EDA, and model evaluation techniques.
Strong academic background in Computer Science and Engineering.

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit