Data science and machine learning

Gowhar Addepalli

+91-868**-***** *****************@*****.*** linkedin.com/in/addepalli-gowhar github.com/gowharaddepalli Education

Parul University Vadodara, Gujarat

Bachelor of Technology, Computer Science and Engineering (AI) — CGPA:6.89/10.0 Aug. 2021 – April 2025 Sri Gayatri Junior College Vijayawada, Andhra Pradesh Major: Physics, Chemistry, Mathematics (PCM) — 57% June 2019 – April 2021 Experience

Data Science & Analytics Intern June 2025 – Present Zidio Development Remote

• Mastered Python, SQL, Pandas, Seaborn, Google Sheets, and Power BI for automating data analytics workflows.

• Analyzed user behavior and performed models segmentation and retention modeling using Python and SQL.

• Supported marketing strategies by delivering actionable business insights through churn prediction. Data Analyst Intern May 2025 – Present

Infotact Solutions Remote

• Gained hands-on experience with Python, SQL, Pandas, Seaborn, Google Sheets, and Power BI.

• Applied churn analytics and customer segmentation to deliver insights for data-driven marketing strategies.

• Automated reporting workflows using Python and SQL to streamline weekly performance tracking. Data Science & Machine Learning Intern April 2025 – July 2025 Zaalima Remote

• Mastered Scikit-learn, Python, Pandas, Streamlit, and Jupyter Notebook for building ML pipelines.

• Built a churn prediction model using Random Forest (88% recall) using Scikit-learn, Pandas, and Jupyter.

• Created interactive dashboards in Streamlit to present key business insights. Projects

InvoiceIQ-DataExtractor Python, Tesseract OCR, OpenCV, Regex, Pandas, Streamlit § github

• Built an OCR system to extract invoice fields (Invoice No., Date, Total, Tax) from scanned PDFs.

• Preprocessed invoice images with OpenCV to improve OCR accuracy and text extraction quality. HireWise-AIResumeFilter NLP, TF-IDF, Scikit-learn, Streamlit, Git § github

• Developed an NLP-based resume screening system using TF-IDF and classification models.

• Scored resumes against job descriptions and deployed the tool using Streamlit for HR use cases. ToxicTextSniper NLP, TF-IDF, Logistic Regression, Scikit-learn, Git § github

• Built a toxic comment classifier using TF-IDF and Logistic Regression with 92% accuracy.

• Evaluated model with precision, recall, F1-score, and deployed insights in report form. SmartSearchRecommender Python, Cosine Similarity, CountVectorizer, Streamlit, Git § github

• Created a content-based recommendation system using TF-IDF and cosine similarity for keyword filtering.

• Ranked items in real-time based on user input and content relevance. Technical Skills

Programming Languages: Java, Python, SQL (Postgres), JavaScript, HTML/CSS, R Technologies: Flask, Django, Tensorflow, Keras, Scikit-learn, FastAPI, Power BI, Git, Jupyter Machine Learning: Supervised & Unsupervised Learning, Regression & Classification, Neural Networks, NLP CS Fundamentals: Object-Oriented Programming (OOP), DBMS, Operating System Coursework: Data Structures & Algorithms, Software Design, Data Analytics, Machine Learning Achievements

@LeetCode — Consistent performance in algorithm challenges

@HackerRank — Earned badges in SQL and Python

§ GitHub — Built and published 10+ Machine Learning and Data Science projects Problem Solving — Actively solving problems and participating in coding contests

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