Bhavya Dixit

Aspiring Data Scientist | IIT Roorkee
Roorkee, IN.

About

Highly analytical and results-driven student from IIT Roorkee with a strong foundation in data analysis, statistical modeling, and programming (Python, R, SQL). Proven ability to transform complex data into actionable insights and build impactful visualizations, as demonstrated through internships and projects. Eager to apply advanced analytical techniques to solve real-world problems and contribute to data-driven decision-making in a dynamic data science environment.

Work

Skoolam
|

Data Analyst Intern

Roorkee, Uttarakhand, India

Summary

Engineered data pipelines and designed impactful visualizations to identify at-risk students and enhance learning outcomes for an educational technology platform.

Highlights

Developed efficient data pipelines to analyze FLN, attendance, and survey data, enabling early detection of at-risk students and learning challenges.

Designed impactful visualizations using Python libraries (Pandas, Seaborn, Matplotlib) to communicate key trends in literacy, health, and engagement across regions.

PeerHub (IIT Roorkee Chapter)
|

Community Growth and Partnership Leads

Roorkee, Uttarakhand, India

Summary

Led strategic partnerships and community engagement initiatives to expand PeerHub's reach and foster an inclusive environment at IIT Roorkee.

Highlights

Built strategic partnerships with organizations and businesses, contributing to significant community growth and membership expansion for PeerHub.

Co-hosted engaging events with stakeholders, enhancing student involvement and fostering an inclusive and collaborative environment.

VJ Nucleus
|

Business Development Intern

Roorkee, Uttarakhand, India

Summary

Drove content strategy, influencer collaborations, and event coordination to expand resource reach and student engagement for an educational platform.

Highlights

Developed targeted academic content and collaborated with influencers to expand resource reach and student engagement.

Led organization and promotion of webinars and workshops, coordinating cross-functional teams and partnerships to maximize impact.

Education

Indian Institute of Technology, Roorkee
Roorkee, Uttarakhand, India

Bachelor of Technology

Chemical Sciences

Grade: 7.624 CGPA

Aklank Public School
Kota, Rajasthan, India

Senior Secondary

Secondary Education

Grade: 92.2%

Global Public School
Kota, Rajasthan, India

Secondary

Secondary Education

Grade: 95.5%

Awards

Finalist in Envision'25

Awarded By

Inter-Enactus Event

Recognized as a finalist in the prestigious Inter-Enactus event, Envision'25, demonstrating strong problem-solving and presentation skills.

Certificate of Appreciation

Awarded By

NSS CEA Cell, IIT Roorkee

Awarded for significant contributions and dedication to the National Service Scheme (NSS) CEA Cell at IIT Roorkee.

Certificates

Google Data Analytics Specialization

Issued By

Google

Share Data through the Art of Visualization

Issued By

Google

Data Analysis with R programming

Issued By

Google

Basics of Stock Market

Issued By

SEBI

Data Structures and Algorithms

Issued By

GeeksforGeeks

Skills

Programming & Analytics

Python, SQL, Excel (Advanced), Power BI, R, Data Visualization, Statistical Analysis, Machine Learning Concepts, Data Modeling, Predictive Analytics.

Tools & Technologies

C, C++, Figma, Canva, PowerPoint, Lucidchart, Jira, Pandas, Seaborn, Matplotlib.

Professional Skills

Communication, Leadership, Adaptability, Critical Thinking, Team Co-ordination, Time Management, Decision-Making, Strategic Planning, Problem-Solving.

Projects

Indian Case Challenge (ICC 2025)

Summary

Developed ethical and AI-driven strategies to rebuild customer trust, enhance supply chain efficiency, and drove market research and financial modeling.

E-Commerce Sales Dashboard

Summary

Developed an interactive Power BI dashboard using e-commerce sales data to visualize key metrics and deliver actionable insights for strategic decision-making.

Netflix Stock Analysis

Summary

Analyzed Netflix stock trends using Seaborn and Matplotlib by visualizing price movements, volatility, and seasonality across multiple timeframes.