Data Science Graduate - Python, Power BI, SQL Specialist

EDUCATION

Yash Santosh Lale +91-738*******

Enrollment No.: 228180372 Email

B.E – Computer Science Engineering (Data Science) DOB: 17-11-2004 Prof. Ram Meghe College of Engineering & Management, Badnera GitHub Profile Degree/Course Institute /Board CGPA/Percentage Year B.E CSE (Data Science) Prof. Ram Meghe College of Engineering & Management, Badnera - Amravati

7.13(Current) 2026

CLASS XII (HSC) Mahatma Gandhi College, Loahgaon 83% 2022 CLASS X (SSC) Sandipani Secondary High School, Karanja (Lad) 77% 2020 EXPERIENCE

AI Intern – TechSaksham (Microsoft & SAP) Remote – May-June 2025

• Worked on AI/ML workflows and developed Python-based ML projects for real-world problem solving.

• Performed data preprocessing, feature engineering, and model evaluation using analytics tools. Data Analytics & Data Science Job Simulations – Forage Remote 2024 (Deloitte, British Airways, Accenture)

• Conducted data analysis, visualization, and business insight generation using real-world datasets.

• Applied analytical problem-solving and reporting techniques for business scenarios SKILLS

Languages: Python, C, MATLAB, HTML, CSS, JavaScript, SQL Technologies: Backend development, Data Structures, Data Analytics, Machine Learning, Data Visualization, Business Analytics GenAI, Agentic Ai.

Frameworks and Libraries: Flask, Matplotlib, Jupyter Notebook, Langchain, NumPy, Pandas, Matplotlib Engineering tools: Vs-Code, Power BI, MongoDB, Git/Github Coursework: Data Analytics, Machine Learning, Statistics, DBMS, Python Programming, Data Structures & Algorithms. PROJECTS

• Loan Credit Scoring System Python, Scikit-learn, Flask, MySQL, HTML, CSS, JavaScript, Git Developed a machine learning-based loan eligibility prediction system using Logistic Regression and Random Forest. Implemented data preprocessing, feature engineering, and model evaluation, and built a Flask-MySQL web application for real-time predictions.

• Stock Market Analysis & Prediction Python, Pandas, Matplotlib, Machine Learning Analyzed historical stock market data using EDA, visualization, and predictive analytics techniques. Developed forecasting models and interactive dashboards to generate actionable market insights.

• Multiple Disease Prediction Web App Python, Flask, Machine Learning (Github Link) Developed a healthcare-focused web application capable of predicting multiple diseases based on user-provided medical parameters. Implemented and integrated machine learning models for disease risk assessment and early prediction, helping users gain quick health insights. Designed a responsive Flask-based interface with real-time prediction capabilities and result visualization, ensuring an interactive and user-friendly experience. CERTIFICATIONS

• Google Cloud Platform Fundamentals – Google Cloud

• AWS Academy Cloud Foundations – Amazon Web Services (AWS)

• McKinsey Forward Program – McKinsey & Compan

• Getting Started with Artificial Intelligence (AI) – IBM

• AI & Data Scientist / Data Analyst Career Path – OneRoadmap

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