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SNEHA PAUL

AI & DS ENGINEER

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ABOUT

AI AND DS ENGINEER

I'm Sneha Paul, a B.Tech student specializing in Artificial Intelligence and Data Science at Jyothi Engineering College. Passionate about technology and innovation, I have experience in data analysis, Python development, and event coordination. Currently, I'm exploring cutting-edge topics like blockchain, machine learning, and Bitcoin development. Let's connect and create impactful solutions together!

SKILLS

Areas of Expertise

  • Data Analysis & Visualization

  • Artificial Intelligence & Machine Learning

  • Blockchain & Bitcoin Development

  • Leadership & Event Coordination

October 2024 – Present

Content Writer Intern

TinkerSpace,Kochi

  • Created engaging and informative blog posts, social media content, and newsletters focused on technology and innovation topics.

  • Collaborated with the marketing team to align content strategy with brand messaging, resulting in a 15% increase in online engagement.

  • Conducted research on industry trends and emerging technologies to craft content that resonated with the target audience.

  • Edited and proofread articles to maintain high-quality standards and ensure consistent tone and style.

  • Managed social media accounts, posting regularly and interacting with followers to build an active online community.

February 2024 - July 2024 

Python Developer Intern /

CipherByte Technologies

  • Developed optimized Python scripts and tools to automate repetitive tasks, increasing team productivity by 40%.

  • Collaborated with data scientists to build machine learning pipelines and perform data wrangling for accurate model training.

  • Designed backend REST APIs for data integration across systems, enhancing data accessibility and reducing data retrieval time.

  • Conducted code reviews and implemented best coding practices to maintain a high standard of code quality and readability.

  • Worked closely with cross-functional teams to understand project requirements and develop tailored solutions.

September 2023 – December 2023

Data Analyst Intern       /

Cognifyz IT Solutions

  • Analyzed and visualized sales and business data to identify trends, best-selling products, and revenue opportunities, helping guide strategic decisions.

  • Created interactive dashboards using tools like Tableau and Power BI, enabling real-time insights for stakeholders.

  • Utilized SQL and Python to manage and analyze large datasets, increasing data processing speed and report accuracy.

  • Developed predictive models to forecast sales trends, improving forecasting accuracy by 25%.

  • Communicated analytical findings effectively to non-technical stakeholders, supporting data-driven decision-making across departments.

WORK EXPERIENCE

EDUCATION

B.Tech in Artificial Intelligence and Data Science with Honours in Cyber Security

Jyothi Engineering College,Thrissur / Graduate:2026

High school diploma

Little Flower Public School, Muringoor / Graduated:2024

CERTIFICATIONS

Certified Cloud Engineer

Certified Ethical Hacker 

AWS Certified Machine Learning & Data Engineer

Lost2Found Web App

An application designed to help users report and find lost items efficiently. Users can upload details and images of lost or found items, enabling quick identification and recovery through a searchable database. The platform fosters community support by connecting people who have lost belongings with those who have found them.

AtmosphAIre: Classifying the Unclassifiable

A machine learning project focused on "classifying" different types of air based on environmental data. Using sensors and AI algorithms, it analyzes air quality metrics to categorize and label unique atmospheric conditions. The project creatively applies AI to explore air types, even those that may seem unclassifiable, providing insights into air composition and quality.

Titanic Survival Prediction: A Journey to Resilience

This project uses the Titanic dataset to predict passenger survival outcomes based on factors like age, gender, and class. By applying machine learning techniques, the model analyzes historical data to determine survival likelihood. It serves as a powerful example of how data science can uncover insights from real-world events and inform decision-making.

PROJECTS

LET'S WORK TOGETHER

sneha@myweb.com

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