Sheshank Priyadarshi Email & Phone Number

Canada

North Bay, Ontario, Canada

• Attending and greeting the customer in the most respectable fashion.
• Attending to their queries, offer recommendation.
• Looking after the Cash Register and manage the Store's Treasury.
• Achieving store sales goal.

Mumbai, Maharashtra, India

• Targeting the potential and qualified clients of Learning Routes Private Limited
• Using Excel Sheet and Meritto CRM to store the data, manage leads & update the marketing funnel
• Using channels like Emails, WhatsApp and Calling to reach out to the clients
• Segmenting them based on their interest and requirements which would be in the order of suspects, prospects, hot prospects and closed won/closed lost
• Working out a planned and calculated strategy to achieve the desired targets

Bhubaneswar, Odisha, India

• I got selected for a year paid internship with Highradius, a SaaS company headquartered at Texas, The US, after successfully completing the Highradius unpaid internship in my final year. My responsibilities were:-
• Gathering and analyzing data from zoominfo to target the potential and qualified clients
• Filtering out those clients on the basis of their annual revenue, pain points, organisation hierarchy and how we can fit our software in that organization
• Positioning and segmenting the analyzed data on excel sheet and salesforce crm for betterunderstanding of the marketing team
• Creating dashboards of the analyzed data for the marketing teams to make informed decisions

Bhubaneswar, Odisha, India

• Learnt about various kind of marketing strategies like segmentation, targeting and positioning
• Worked on case studies for developing a good marketing strategy for the companies who are unable to market their products or services efficiently
• Prepared customer centric contents for some hypothetical products or services

Mohali District, Punjab, India

• I made a project on Prediction of Pollution Level using Machine Learning in which:-
• A data driven multivariate regression model was created in which air samples of differentlocations were collected and were taken to lab where five features columns were extracted.
• Data consist of two csv files:- (Train.csv Test.csv).
• Python Libraries used were numpy, matplot and pandas.
• This model’s accuracy was 96.7% which is something that I am very proud of.
• The results truly indicated that how effectively Machine Learning can be used to detect AirQuality Index(AQI) and tackle challenges related to Environmental Pollution.

Post Baccalaureate Diploma, Artificial Intelligence And Machine Learning

Bachelor Of Technology - Btech, Computer Science, 7.63

High School, Science