About
Artificial Intelligence and Machine Learning undergraduate with hands-on experience in Machine Learning, NLP, and Data Analytics, passionate about building AI solutions and transforming data into actionable business insights. I'm currently pursuing my B.E. in Artificial Intelligence and Machine Learning at Canara Engineering College, Mangalore (CGPA: 8.49), where I've developed practical experience through academic projects and industry internships. Some of the projects I've worked on include: 🔹 Fake Job Posting Detection System using TF-IDF, SMOTE, and XGBoost, achieving 98.46% accuracy with a deployed Streamlit application. 🔹 Emotion-Aware Image Reader using OCR (Tesseract, TrOCR) and DistilBERT for emotion-aware speech generation. 🔹 Customer Segmentation Analysis using RFM Analysis and K-Means Clustering on 541,000+ e-commerce transactions. 🔹 Google Play Store Analysis involving 10,300+ apps and 29,700+ user reviews using data visualization and sentiment analysis. 🔹 House Price Prediction using Linear Regression and Ridge Regression, achieving an R² score of 0.87. I'm currently applying these skills as a Data Analytics Intern at Oasis Infobyte, where I work on data cleaning, exploratory data analysis, feature engineering, machine learning, and visualization across real-world datasets. Previously, I completed a Data Analytics Internship at Navodita Infotech, where I developed interactive Power BI dashboards to support business decision-making. Technical Skills: Python, SQL, Scikit-learn, Pandas, NumPy, Power BI, Power Query, DAX, Tableau, Excel, Matplotlib, Seaborn, FastAPI, Flask, Git, GitHub, PostgreSQL. Beyond technical skills, I value analytical thinking, continuous learning, teamwork, and clear communication. I'm actively seeking AI/ML, Data Analytics, and Data Science internship or entry-level opportunities where I can contribute, learn, and grow. 📩 ananyahebbark@gmail.com
Work experience
Data Analytics Intern at Navodita Infotech, Apr 2026 - Apr 2026 · 1 mo, Remote, • Completed a one-month remote Data Analytics internship at Navodita Infotech. • Performed data cleaning, transformation, and preprocessing using Python. • Conducted exploratory data analysis (EDA) to identify trends and insights. • Created visualizations and business insight reports using Pandas, NumPy, Matplotlib, and Seaborn. • Collaborated on data-driven tasks while following industry best practices in analytics.
