Dedicated Data Analyst with [number] months of hands-on experience gained during an internship at Unified Mentor. Proficient in [list of relevant tools, e.g., SQL, Python, Excel, Tableau, Power BI].During my internship, I was involved in [briefly describe key projects or responsibilities]. I successfully [list specific achievements, e.g., "optimized data pipelines to improve efficiency by 20%"].Through these experiences, I developed a strong understanding of [key data analysis concepts, e.g., data cleaning, exploratory data analysis, statistical modeling]. I am passionate about leveraging data to drive informed decision-making and uncover valuable insights.I am eager to apply my skills to contribute to a dynamic team and make a meaningful impact in the field of data analytics.Key skills to include:Data analysisData visualizationSQLPython[Other relevant tools][Soft skills, e.g., problem-solving, communication]

Project : Resturant Rating Prediction Technology: Mechine Learning Domain: eCommerce Problem:The main goal of the project is to perform extensive EDA on Zomato Dataset and build appropriate Mechine Learning Model tha helps various Zomato restaurants to predict their respective Ratings based on certain Features. It is my current project that I work. Its given by Ineuron.ai and after submitting I got the certificate. I hope it will complete In a month.

Extensive experience in industrial automation and control systems, utilizing SCADA and GE-FANUC software for pressure and temperature control loops. Skilled in PLC programming, working with Siemens hardware and TIA V14 Portal to control machinery and processes, including water level and temperature regulation using sensors like RTD, thermocouples, and PID controllers.Proficient in MATLAB for PID tuning, and adept at designing and implementing analog circuits with sensors for various projects. Experience with digital circuits using logic gates, flip-flops, encoders, and decoders, as well as working with microprocessors and microcontrollers (e.g., Arduino Uno) to control sensors for automated tasks.Delivered expert instruction in core Python concepts, including data structures, OOP, file handling, and exception handling. Designed and led real-world projects covering web development (Flask/Django), data analysis (Pandas, NumPy), and machine learning (Scikit-learn), ensuring hands-on learning for students

• Face Recognition and Visualization.• Work with Databases using MySQL.• Data Visualization and Data Manipulation.• Working as a QA• Eda and feacher Engineering