Machine Learning Data Analytics

Shubham Mule

+ Pune, Maharashtra # ************@*****.*** +91-901**-***** ð linkedin.com/in/shubham-mule1

§ github.com/shubhammule1 Ð hackerrank.com/shubham1996m Career Objective

Data Scientist with a strong foundation inMachineLearning,SQL, Python, Spark, data analysis and anomaly detec- tion, seeking to leverage analytical and problem-solving skills to deliver actionable insights and support data-driven decision-making. Passionate about developing professional skills and solving real-life problems in a dynamic environ- ment.

Experience

Patronaid Technologies LLP Sept 2024 - Feb 2025

Advanced Data Science Intern

• Developed an AI chatbot using Retrieval-Augmented Generation (RAG) architecture, achieving over 90% response accuracy, which reduced manual information lookup time by up to 80% for end-users.

• Skills: Python, NLP, Deep Learning, LangChain, FAISS, OpenAI GPT-3.5-turbo, tiktoken, PyPDF Chegg India Pvt Ltd Oct 2020 - Sept 2024

Subject Matter Expert for Chemistry

• Provided solutions with a quality score above 90% to academic chemistryquestionsonaweb-based platform, help- ing over 1,000 students worldwide learn and excel in chemistry. Skills

Programming Languages: Python, SQL, R, Linux Programming Big Data & Databases: Hadoop Ecosystem, Apache Spark, Hive, Kafka, MySQL, MongoDB Data Science & Analytics: Machine Learning, Deep Learning, Predictive Modeling, NLP, LLM, Tableau, Microsoft Power BI,MicrosoftExcel,AnomalyDetection,DataAnalysis,HypothesisTesting,AdvancedStatisticalAlgorithms,High-Dimensionality Problem-Solving, Rigorous Research & Analysis

Cloud & Development Tools: AWS, Git, Webots, Google Colab Soft Skills: Integration and Communication of Analytical Findings, Problem-Solving, Knowledge Sharing, Industry In- sights, Critical Thinking, Professional Skills Development, Communication and Public Speaking Education

CDAC Know-IT Pune Aug 2024

Post Graduate Diploma in Big Data Analytics Percentage: 63% Shri Guru Gobind Singhji Institute Of Engineering and Technology Nanded May 2018 B.Tech in Chemical Technology CGPA: 5.82

Christanand School and Jr. College Bramhapuri Feb 2014 HSC Percentage: 83.69%

Nevjabai Hitkarini Highschool Bramhapuri Mar 2012

SSC Percentage: 88.91%

Projects

Data Analysis and Sales Forecasting of Walmart’s retail data.

• Preprocessed and visualized 4 years of Walmart’s retail data using Spark and Tableau.

• Forecasted sales over a 2-year horizon using machine learning and the Prophet model, reducing forecast error by 20% and enabling more accurate, data-driven business planning.

• Technologies Used: PySpark, Hadoop, Prophet, Hive, Python, Machine Learning, Tableau, NumPy, Pandas, Mat- plotlib, R.

• Github: github.com/Project_group39/tree/Shubham 2 Prediction of Car Prices Using a Linear Regression Model.

• Developed a linear regression model achieving an R-squared score of 0.91 for accurate car price prediction.

• Technologies used: Scikit-learn, Pandas, NumPy, Matplotlib.

• Github: github.com/shubhammule1/Car_Price_LR 2

Pneumonia detection using Transfer Learning.

• Developed a pneumonia detection model using X-ray images of healthy and pneumonia-infected individuals, lever- aging deep learning models such as VGG16 and ResNet50.

• Technologies Used: TensorFlow, Keras, OpenCV, Matplotlib, NumPy, Pandas, OS module, VGG16, ResNet50.

• Github: github.com/shubhammule1/Pneumonia_detection 2 Certifications

Post Graduate Diploma in Big Data Analytics. CDAC

• Worked on data science projects and gained hands-on experience with data science technologies.

• Received a proven proficiency certificate in the field of Big Data Analytics.

• Skillsachieved:AdvanceAnalyticsusingStatistics,DataCollection&DBMS, Python&R, DataVisualization-Analysis

&Reporting, Big Data Technologies, Practical Machine Learning, Linux Programming &Cloud Computing, Core Java.

• Credential URL: CDAC Post Graduate Diploma in Big Data Analytics 2 Machine Learning and Self-Driving Cars: Bootcamp with Python. Udemy

• Developed a self-driving car simulation model using Python and Webots, gaining hands-on experience with com- puter vision.

• Acquired a strong understanding of machine learning and deep learning applications in self-driving technology.

• Skills achieved: Computer vision, Webots tool, Machine Learning, Deep Learning, Python, OpenCV (CV2), Matplol- Lib, NumPy, Visual Studio.

• Credential URL: Machine Learning and Self-Driving Cars: Bootcamp with Python. 2 Achievements

• Earned 5-star Gold Badges in SQL and Python on HackerRank.

• Gold Medal in National Cadet Corps drill.

Hobbies

Playing Chess, Cooking, Teaching, Thinking and Exploring. Languages

English, Hindi, Marathi.

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