Hrishikesh Patil

A recent Electronics and Computer Science graduate with hands-on experience in data analytics through internships and academic projects. Experienced in working with raw data, developing insightful dashboards, and applying statistical methods to enhance decision-making processes. Eager to launch a career as a Data Analyst in the tech sector, leveraging a solid analytical foundation and a passion for solving complex problems.

Committed to continuous learning and contributing innovative solutions that drive business success.

Data Science Intern at NeoSOFT (2025-06 – 2025-07)

• Built a house price prediction model with industry-level data preprocessing.
• Developed NLP-based sentiment analysis using ML models, VADER, and transformer models (BERT, RoBERTa).
• Applied topic modeling (LDA, LSA) for review summarization & semantic search.
• Experimented with LLMs via Hugging Face (Mistral, Gemma), OpenRouter (LLaMA 3.1), OpenAI API (GPT-4-mini), and Google AI Studio (Gemini 1.5 & 2.5) for summarization, parsing, and analysis.
• Designed InsightLens, an AI-powered resume–JD matching platform.
• Implemented role-based access control with MongoDB.

ML Intern at Prodigy Infotech (2024-06 – 2024-07)

• Built and optimized machine learning models using scikit-learn, achieving high accuracy in predictive modeling, image classification, and hand gesture recognition.
• Implemented and fine-tuned Linear Regression, Support Vector Machine (SVM), and K-Means Clustering with scikit-learn, improving model performance and scalability.

B.E. – Vivekanand Education Society's Institute of Technology (2026)

HSC – Rao Junior College of Science (2022)

ICSE – Lilavatibai Podar Senior Secondary School (2020)