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Student Profiles

SWEETY SINGH

Qualification: Others Subjects

Qualification Description:
BBA – General | Indraprastha University, Delhi

Work Experience: 0 - 12 Months

Other Accomplishment:

Cyboard Online School, Gurugram Sales Intern - Gained hands-on experience in the education sector during sales growth and customer acquisition. Honed expertise in customer communication effectively conveying product benefit and onboarding new customers with a personalized approach.
Unstructured Data Analytics - Conducted sentiment analysis on student reviews to gauge real-world perceptions and experiences of top MBA/PGDM colleges. Utilized data from Shiksha.com to derive sentiment insights regarding various aspects of the educational experience.

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TULASI THANMAI CHANNA

Qualification: Others Subjects

Qualification Description:
BBA-Business Analytics | Koneru Lakshmaiah Deemed to be University, Vaddeswaram

Work Experience: 0 - 12 Months

Other Accomplishment:

UnSchool, Hyderabad ULead - Facilitated the conversion of 4 deals per month. Contributed to marketing and HR initiatives. Managed marketing campaigns, customer interactions, and lead conversions.
NullClass, Bengaluru Intern - Developed data visualizations to analyze and present complex datasets, utilizing charts and graphs for clear insights into workforce and market trends. Preprocessed data to ensure accuracy and reliability in analysis, like data cleaning.

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YASHDEEP SINGH

Qualification: Engineering Subjects

Qualification Description:
B.Tech Information Technology | ABES Institute of Technology, Ghaziabad

Work Experience: 0 - 12 Months

Other Accomplishment:

Mentorness Data Analyst Intern - SQL Savepoints Reel: Created an instructional video on the use of SQL savepoints for transaction management, enhancing data recovery processes in industry applications.
Unstructured Data Analysis: Fashion Trends and Brand Sentiment - Predict fashion trends by analysing influencer data on YouTube to improve product offerings and marketing strategies for better consumer alignment.

• Analysed data from Alex Costa's YouTube channel using sentiment analysis and Latent Dirichlet Allocation (LDA) for topic modelling. This
involved API data extraction, detailed preprocessing, and text mining to ensure a thorough analysis

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