Sunidhi Shukla

MBA Finance & IT | Data Analytics & Optimization

Kanpur, India 0+ yrs exp 80 · Excellent

About

MBA candidate with Finance major and IT minor, focused on data analytics, business optimization, and Python-based problem solving. Hands-on experience in analyzing large datasets, performing data cleaning, text mining, sentiment analysis, dashboarding, and generating actionable business insights. Strong foundation in SQL, Python, statistics, financial analysis, and business intelligence, with exposure to AI/ML concepts and optimization-based decision-making. Skilled at structuring insights, preparing professional presentations, and supporting data-driven business decisions across revenue, cost, operations, and customer experience use cases.

Skills & Expertise (19)

Python Intermediate

7.6/10

Years Exp

Excel Intermediate

7.0/10

Years Exp

SQL Intermediate

6.5/10

Years Exp

Google Sheets Intermediate

6.5/10

Years Exp

Sentiment Analysis Intermediate

6.5/10

Years Exp

Text Mining Intermediate

6.5/10

Years Exp

Model Evaluation Intermediate

5.5/10

Years Exp

Classification Intermediate

5.5/10

Years Exp

scikit-learn Intermediate

5.5/10

Years Exp

Business Optimization Intermediate

5.0/10

Years Exp

Scenario analysis Intermediate

5.0/10

Years Exp

Financial Analysis Intermediate

5.0/10

Years Exp

Market Research Intermediate

5.0/10

Years Exp

Business Case Development Intermediate

5.0/10

Years Exp

Stakeholder Presentation Intermediate

5.0/10

Years Exp

Jira Intermediate

5.0/10

Years Exp

GIT basics Beginner

4.5/10

Years Exp

Figma Beginner

4.5/10

Years Exp

Resource Allocation Beginner

4.5/10

Years Exp

Work Experience

Data Analytics & Business Insights Intern

IBM CEP - Developer Skills Network

Jul 2025 - Sep 2025

Analyzed 10,000+ customer reviews using Python-based data cleaning and text-mining techniques to identify sentiment trends, recurring issues, and feature-level feedback. Converted unstructured customer feedback into structured business insights to support data-driven decision-making and customer experience improvement. Built dashboards and visual reports to track customer satisfaction patterns, feature mentions, recurring complaints, and negative feedback drivers. Applied analytical thinking to identify improvement opportunities and presented recommendations in a clear, business-focused format. Strengthened practical exposure to analytics workflows including data preprocessing, insight generation, visualization, reporting, and stakeholder communication.