NITYASHREE S

Data Analyst| Software Engineer| AI ML Engineer
New Delhi, IN.

About

Highly motivated final-year B.Tech student specializing in AI & Data Science, adept at full-stack development and machine learning. Proven ability to build and deploy web applications using React, Node.js, and EJS, coupled with strong data analysis skills in Python and EDA to deliver actionable insights. Seeking challenging roles in software engineering, data science, or web development where innovative solutions and impactful delivery are paramount.

Work

PwC
|

Data Analytics and AI Launchpad Program Participant

Summary

Participated in the PwC Data Analytics and AI Launchpad, developing core competencies in data analysis, machine learning applications, and business intelligence.

Highlights

Acquired practical skills in data manipulation, statistical analysis, and machine learning techniques relevant to business challenges.

Utilized industry-standard tools for data visualization and reporting, translating complex datasets into actionable insights.

Contributed to simulated projects, applying AI principles to solve real-world data problems and improve decision-making.

Edunet Foundation (Microsoft initiative, AICTE collaboration)
|

AI Azure Virtual Intern

Summary

Engaged in an intensive AI Azure Virtual Internship, focusing on cloud-based AI solutions and machine learning deployment within a Microsoft-backed initiative.

Highlights

Gained hands-on experience with Microsoft Azure AI services, developing and deploying AI models in a cloud environment.

Collaborated on project-based learning modules, applying theoretical knowledge to practical AI challenges.

Enhanced understanding of AI/ML pipelines, MLOps principles, and scalable cloud infrastructure.

Volunteer

Technotainment Club
|

Logistics Lead

Summary

Led logistics and team management for multiple technical events, engaging a large participant base.

Highlights

Directed logistics for multiple technical events, successfully engaging over 500+ participants.

Managed a diverse team to ensure seamless execution of events, demonstrating strong organizational and leadership skills.

Orchestrated event planning and resource allocation, contributing to the club's successful technical outreach.

TechnoInformals Club
|

Cultural Event Coordinator

Summary

Coordinated cultural events, significantly increasing participant engagement year-over-year.

Highlights

Coordinated a series of cultural events, significantly increasing participation by 40% year-over-year.

Managed event planning, promotion, and execution, fostering a vibrant student community.

Demonstrated strong communication and organizational skills in delivering successful campus-wide events.

Education

SASTRA University
Tanjore, Tamil Nadu, India

B.Tech

Computer Science (AI & Data Science)

Convent of Jesus and Mary
New Delhi, Delhi, India

High School Diploma

CBSE Class XII

Certificates

Full Stack Development

Issued By

Udemy

Supervised ML: Regression & Classification

Issued By

Coursera (Andrew Ng)

Prompt Engineering

Issued By

CognitiveAI

AI & Gemini Skill Badges

Issued By

Google Developers

AI Use Cases

Issued By

AWS Training

Google Analytics for Beginners

Issued By

Google

Virtual Software Engineering Simulations

Issued By

JP Morgan, Walmart, Skyscanner (Forage)

Skills

Programming Languages

Python, Java, C++, SQL, C.

Web Technologies

HTML, CSS, JavaScript, React, Node.js, EJS, Bootstrap.

AI/ML & Data Science

Pandas, NumPy, NLP, Jupyter Notebook, CNN, LSTM, Bi-LSTM, SHAP, Seaborn, Classification Algorithms, Predictive Modeling, Data-driven Insights, Exploratory Data Analysis (EDA).

Databases

SQL.

Tools & Platforms

Git, GitHub, Google Analytics, Google Cloud AI, MS Excel, Power BI, Microsoft Azure AI.

Projects

AI Image Caption Generator

Summary

Developed an advanced deep learning model for generating descriptive captions from images, enhancing contextual accuracy.

IMDB Review Sentiment Classifier

Summary

Engineered a robust binary sentiment classifier capable of real-time prediction for text sentiment.

COVID-19 EDA

Summary

Conducted comprehensive exploratory data analysis to identify socioeconomic correlations with COVID-19 case trends.

Personal Portfolio Website

Summary

Designed and deployed a personal website to showcase projects, certifications, and GitHub contributions.

Employee Attrition Prediction

Summary

Developed a machine learning model to predict employee attrition, providing actionable insights for human resources.