JANHVI MARU

Data Analyst

LinkedIn | GitHub

About

Highly analytical Data Analyst with hands-on experience transforming complex datasets into actionable business solutions. Proficient in MS Excel, Python, SQL, and Power BI, with a proven ability to develop predictive models and conduct in-depth customer segmentation analysis. Successfully translated analytical insights into tangible business strategies, demonstrating a strong aptitude for optimizing operations and driving data-driven decision-making.

Work Experience

Data Analyst Intern

Bhilai Steel Plant, SAIL

Dec 2025 - Present

Data Analyst Intern responsible for leveraging data to optimize steel production processes and enhance R&D efficiency in a leading steel manufacturing company.

  • Optimized IS2062-250BR steel composition by analyzing large chemical datasets, achieving a 15% increase in tensile strength and 30% improvement in corrosion resistance through targeted alloying element analysis.
  • Collaborated with cross-functional teams to develop and implement a predictive model using chemical data, resulting in a 30% improvement in production streamlining and overall efficiency.
  • Automated testing workflows using Python (Pandas, NumPy) and Excel, enabling the processing of over 200 monthly samples and reducing project timelines by 20%.
  • Designed and built comprehensive data dashboards to monitor material distribution, significantly optimizing R&D resource allocation.

Education

Robotics & Automation

Bharati Vidyapeeth College of Engineering, Pune

CGPA - 8.2

General Studies

Delhi Public School Durg

91.6%

Courses

  • Core Curriculum

Certificates

Career Essentials in Data Analysis by Microsoft and LinkedIn

LinkedIn Learning Community

DIGITAL SKILLS: ARTIFICIAL INTELLIGENCE(ACCENTURE)

FutureLearn

100 Days of Code: The Complete Python Pro Bootcamp

Udemy

Projects

Telecom Churn Analysis

Comprehensive data analysis project focused on identifying and mitigating customer churn in the telecom sector using SQL, Python, MS Excel, and Power BI.

Customer Segmentation Analysis

Data science project focused on segmenting customers to optimize business strategies based on purchasing behavior using Python and Power BI.

Skills

Programming Languages

  • Python
  • SQL

Machine Learning

  • Statistical Analysis
  • Supervised Learning Algorithms
  • Unsupervised Learning Algorithms
  • Predictive Modelling

Data Analysis Libraries

  • Pandas
  • NumPy
  • Matplotlib
  • Seaborn
  • Scikit-learn

Data Tools & Platforms

  • MS Excel
  • Power BI
  • MySQL
  • Jupyter Notebook

Soft Skills

  • Problem Solving
  • Adaptability
  • Data Storytelling
  • Cross-functional Collaboration
  • Critical Thinking