Bechdel Test Analysis
→
Summary
Conducted a comprehensive statistical analysis of movie scripts and industry data to identify and visualize gender bias trends in Hollywood.
About
Anusha Ajith Sreeja is an ambitious B. Tech student specializing in Computer Science and Engineering with a strong foundation in Data Science and Machine Learning. Eager to leverage expertise in Python, deep learning, and statistical modeling to develop innovative solutions, she has a proven track record of delivering impactful projects, including an AI-powered waste segregation system and a water demand forecasting model. Seeking an entry-level Data Scientist or Machine Learning Engineer role to contribute to data-driven decision-making and advanced analytical initiatives.
Volunteer
Google Developer Student Clubs (VIT Bhopal)
|Team Member, Event Management & Outreach
Bhopal, Madhya Pradesh, India
→
Summary
Contributed to community engagement and event success for a leading university tech club, fostering innovation and participation.
Highlights
Organized a 200+ participant hackathon, overseeing logistics and execution to foster innovation and skill development.
Increased event participation by 40% through targeted social media outreach and strategic promotional campaigns.
Education
VIT Bhopal University
Bhopal, Madhya Pradesh, India
→
B. Tech
Computer Science and Engineering
Grade: CGPA: 8.30/10.0
Awards
Gold Medal
Awarded By
National English Olympiad
Awarded for exceptional performance in English language proficiency and literary aptitude.
Languages
English
Hindi
Malayalam
Marathi
German
Certificates
Power BI for Beginners
Issued By
SkillUp
Cloud Computing
Issued By
NPTEL (IIT Kharagpur)
Applied Machine Learning in Python
Issued By
Coursera
Introduction to Deep Learning
Issued By
Great Learning
Skills
Programming Languages
Python (Pandas, NumPy, Scikit-learn), MySQL, C++, Java (Basics).
Data Analysis
Exploratory Data Analysis, Statistical Analysis, Hypothesis Testing, Data Mining, REST APIs, Data Cleaning.
Machine Learning
Predictive Modeling (Regression, Classification, Neural Networks/CNNs), Supervised Learning, Model Evaluation, Feature Engineering (PCA, Scaling).
Data Visualization
Power BI, Seaborn, Matplotlib, Plotly, DAX.
Tools & Technologies/Cloud
GitHub, Microsoft Excel (Pivot Tables, Power Query), AWS.
Interests
Dance
Bharatanatyam, Classical Indian Dance.
Projects
JALDARPAN – Water Demand Forecasting
→
Summary
Developed a robust water demand forecasting system to optimize municipal water resource management and support real-time decision-making.
CNN-Based Waste Segregation System
→
Summary
Designed and implemented an AI-powered waste segregation system utilizing deep learning to enhance recycling efficiency and reduce environmental impact.
Smart India Hackathon Project: AI-powered Social Media Security
→
Summary
Developed an AI-powered solution for detecting and reporting fake social media profiles, enhancing online security and trust.