Satender Jangra

Data Scientist with over 1.5 years of experience familiar with gathering, cleaning and organizing data for use by technical and non-technical personnel. Good understanding of Data Science along with statistical, algebraic and other analytical techniques using Python. Excellent ability of verbal and written communication with international partners. Handled high pressure situations with minimal supervision without losing calm. Capable of devising effective and convincing strategies based on strong strategic and analytical thinking. Motivated to learn, grow and excel. Excellent reputation for resolving problems and improving customer satisfaction. Dependable candidate and successful at managing multiple priorities with a positive attitude. Willingness to take on added responsibilities to meet team goals along with contribution to team success through hard work, attention to detail and organizational skills.

Summer Training Programme on 'Data Science Using Python' By Webtek pvt. ltd.

• Netflix Case Study: Analyze and Drive Insights from the raw data provided by Netflix and generate some valuable recommendations to grow business further based on various variables and visualization.
• Aeroplane Overbooking Case Study: Analyze and Drive Insights from the data and provide solution that how much overbooking can be done by not loosing profit using PMF.
• Aerofit Product Suggestion Case Study: Analyze and Drive Insights from the data provided by Aerofit and generate customer characteristics for a particular product so that sales are increased and we can suggest relatable product to customer using various random variables and visualizations.

• Netflix Case Study: Analyze and Drive Insights from the raw data provided by Netflix and generate some valuable recommendations to grow business further based on various variables and visualization.
• Aeroplane Overbooking Case Study: Analyze and Drive Insights from the data and provide solution that how much overbooking can be done by not loosing profit using PMF.
• Aerofit Product Suggestion Case Study: Analyze and Drive Insights from the data provided by Aerofit and generate customer characteristics for a particular product so that sales are increased and we can suggest relatable product to customer using various random variables and visualizations.