✿ Asmi Verma

ASE Intern at Accenture | Data Science Graduate | Data Engineering and Analytics

Hi, I am Asmi and I turn messy data into stories that make business sense.

I am a Data Science graduate and ASE Intern at Accenture with a growing focus on data engineering and analytics. I enjoy working with structured and unstructured data to uncover patterns, build practical solutions, and communicate insights clearly.

Say Hi View Work
Databricks PySpark SQL Problem Solving
Portrait of Asmi Verma
Jaipur, Rajasthan, India

Summary

A calm thinker with a builder mindset

I am a computer science graduate currently working at Accenture, with strong interest in technology, structured problem solving, and continuous learning.

My academic journey and project experience built a solid foundation in SQL, data handling, and visualization. At work, I am learning how engineering choices support real business outcomes.

I value clear communication, teamwork, reliability, and ownership. I enjoy collaborating with people who care about meaningful, practical impact.

Always open to connecting with professionals in data and software.

Experience

Leadership, internships, and global exposure

IAESTE India LC MUJ

Head Outgoing | Oct 2023 - Sep 2024 | Jaipur

Led outgoing exchange operations, coordinated student mobility, and managed communication across stakeholders.

Kasetsart University

Research Intern | Jun 2024 - Aug 2024 | Thailand

Worked on research initiatives and strengthened analytical and interdisciplinary collaboration skills.

International Relations Council - MUJ

Coordinator | Jan 2024 - Aug 2024 | Jaipur

Supported campus internationalization initiatives and engagement events with student communities.

Pledge A Smile

Summer Intern | Jun 2023 - Jul 2023

Contributed to social media marketing, content writing, and donation-related campaigns.

Projects

Selected data and machine learning projects

Focused on analysis, storytelling, and practical applications.

Nestle stock analysis dashboard

Nestle Analysis Dashboard

Financial Data Analysis | Power BI

Developed an interactive Power BI dashboard to analyze historical stock trends, trading volume, and moving averages for Nestle. The project focuses on identifying market behavior patterns and presenting insights through clear visualizations.

  • Time-series analysis of price movement
  • Moving average indicators for trend interpretation
  • Volume analysis for market activity insights
  • Interactive dashboard for exploratory analysis

Tools: Power BI, Excel

View Project
Amazon sales performance dashboard

Amazon Sales Performance

Business Analytics | Data Visualization

Built a Power BI dashboard to explore sales performance across product categories, regions, and seasonal trends. The project demonstrates how raw sales data can be transformed into actionable insights for business decision-making.

  • Regional sales distribution analysis
  • Product category performance comparison
  • Seasonal trend visualization
  • KPI dashboards for quick insights

Tools: Power BI, Excel

View Project
KDrama recommendation app

KDrama Recommender System

Machine Learning | NLP | Streamlit

Developed a content-based recommendation system that suggests similar Korean dramas using storyline and metadata signals. The pipeline combines NLP and semantic similarity for stronger ranking quality.

  • TF-IDF text representation for baseline recommendations
  • Sentence Transformer embeddings for semantic similarity
  • Cosine similarity for ranking related shows
  • Streamlit app for interactive exploration

Tools: Python, scikit-learn, Sentence Transformers, Streamlit

View Project

Top Skills

Tools I rely on and refine every day

SQL Spreadsheet Software Problem Solving PySpark Databricks Python Data Visualization Team Collaboration

Certifications

Learning pathway and completed programs

Business Analysis and Process Management
Share Data Through the Art of Visualization
Intro to ChatGPT and Generative AI
Introduction to Machine Learning with Python
Get Started With Tableau

Publication

Research spotlight

Exploring the Effectiveness of Fundus Image Enhancement for Diabetic Retinopathy Classification

Study focused on improving retinal image quality and evaluating enhancement techniques for stronger diabetic retinopathy classification support.

Why this work matters

Better image clarity can increase model confidence and improve decision support in healthcare screening workflows.

Contact

Let us connect and build something impactful