Mitesh Parab

Worked with real-world datasets to perform data cleaning and exploratory data analysis (EDA) Used Python and SQL to extract, analyze, and interpret data Built interactive dashboards and reports using Power BI Derived actionable insights to support business decision-making Applied analytical thinking to solve practical data problems Strengthened skills in data visualization, statistics, and data-driven storytelling Completed projects simulating real business scenarios and decision-making processes.

Built multiple end-to-end data analysis and machine learning projects. Applied EDA, feature engineering, and model evaluation techniques.

Operated and monitored production machinery for automotive parts and components. Assembled and installed parts according to technical specifications and quality requirements. Conducted inspections to ensure compliance with automotive industry standards (ISO/TS 16949, IATF 16949). Documented production data and reported malfunctions or deviations to supervisors. Maintained workplace safety and adhered to strict hygiene and compliance regulations. Supported continuous improvement initiatives (lean manufa

Inside Sales & Account Management B2B & B2C Customer Engagement Negotiation & Contract Management Pipeline Development & CRM Management (Salesforce, HubSpot, SAP, etc.) Cross-functional Collaboration Revenue Growth & Retention Strategies Qualified leads and nurtured prospects into long-term accounts.

- Fine Dining Restaurant with 65 Seats and und 3 Function rooms - Serving and caring the elite and VIP guests of AUDI - Serving and caring international guests - Performing when needed as assistant Food and Beverage Manager - Responsible for the efficient and professional running of Restaurant, including relationships with other departments like Banqueting and kitchen - Professional wine service - Driving revenue to reach budgets, such as pushing for up-sells and cross sells - Leading by example - Inventor

Completed an intensive hands-on program covering Python, NumPy, Pandas, Scikit-Learn, TensorFlow/Keras, SQL, and data visualization. Gained practical experience in supervised & unsupervised machine learning, deep learning (CNN, Transfer Learning), and predictive modeling. Built real-world project