Hi, I'm Nishant Kushwaha

Upcoming Spring 2024 graduate in Data Analytics with a robust background in data manipulation, statistical
analysis, and the entire data lifecycle. Enthusiastic about translating academic expertise into practical applications within a corporate setting. Collaborative team member dedicated to crafting effective and insights-driven solutions for data-driven challenges.

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Education

Murray State University, Murray, KY
Bachelor of Science(Computer Science area) (3.0 GPA) (Jan 21- Present)
• Completed initial two years of studies at Lovely Professional University, Punjab, India, achieving a
scholarship before transferring.(8.1 CGPA)
Google Data Analytics Certification, Coursera (Jan 24 -Present)
• Successfully completed 6 out of 8 courses, demonstrating a strong commitment to mastering Analytics tools like Spreadsheets,SQL and tableau and methodologies.
• Acquiring valuable insights into web analytics and data-driven decision-making, poised to contribute effectively to informed business strategies upon completion.

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Ios App Store Data Insights

In this comprehensive analysis, we explored three key factors influencing user ratings on the App Store: (1) the pricing model (free vs. paid apps), (2) multilingual support, and (3) the length of app descriptions. By examining the correlation between these factors and user satisfaction, we aim to provide valuable insights for developers to enhance their app strategies.1. Pricing Model - Free vs. Paid Apps:
- Outcome: Free apps tend to have a wider distribution of ratings, with peaks in higher categories, suggesting greater user satisfaction. Paid apps exhibit a more focused distribution in mid to high rating ranges.
- Suggestions: Developers of free apps should prioritize delivering quality experiences to maintain positive user feedback. For paid apps, exceeding user expectations is crucial, as users might have higher standards due to financial investment.2. Multilingual Support vs. Ratings:
- Outcome: There is a positive correlation between the number of languages supported and user ratings, more pronounced for free apps. Optimal satisfaction is observed with apps supporting around 4 to 5 languages.
- Suggestions: Developers are encouraged to prioritize multilingual support, especially for free apps, aiming for a balanced range of supported languages to enhance overall user satisfaction and potentially improve app ratings.3. App Description Length vs. Ratings:
- Outcome: Apps with medium-length descriptions tend to receive higher user ratings, indicating a positive correlation. Short and long descriptions show mixed and varied ratings.
- Suggestions: Developers should aim for a balanced description length, providing sufficient information without overwhelming users. Medium-length descriptions appear to strike the right balance in conveying relevant details.Overall Recommendations for Developers:1. Balance Quality for Free Apps:
- Developers of free apps should prioritize quality to maintain positive user feedback. Emphasize engaging features, intuitive design, and responsiveness to user needs.2. Exceed Expectations for Paid Apps:
- Developers of paid apps should go beyond meeting user expectations and strive to exceed them. Delivering exceptional value and a seamless user experience can justify the financial investment.3. Prioritize Multilingualism:
- Incorporate comprehensive multilingual support, particularly for free apps. Aim for an optimal balance (around 4 to 5 languages) to enhance global accessibility and user satisfaction.4. Optimize App Descriptions:
- Strive for a balanced length in app descriptions. Medium-length descriptions appear to correlate positively with higher ratings, providing enough information without overwhelming or underserving users.By incorporating these recommendations, developers can adapt their strategies to align with user preferences and enhance the overall success of their apps on the App Store. As the app landscape continues to evolve, staying attuned to user expectations is key to building and maintaining a positive user experience.

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Comprehensive Analysis & Marketing Strategies for Cyclistic Bike-Sharing

This detailed analysis explores user demographics, weekly usage patterns, and average ride durations for Cyclistic's bike-sharing program. The findings drive targeted recommendations to enhance satisfaction, operations, and inform future marketing initiatives.I. Gender Analysis:
1. Customer Segment:
- Challenge: Female underrepresentation.
- Opportunity: Implement targeted marketing campaigns, acknowledging and addressing female-specific preferences and needs.2. Subscriber Segment:
- Challenge: Predominantly male subscribers.
- Opportunity: Introduce promotions and incentives tailored to encourage more female subscribers, fostering diversity in the subscriber base.Recommendations:
1. Marketing Strategies:
- Develop campaigns emphasizing the convenience and benefits of bike-sharing, tailored specifically to female preferences.2. Subscriber Incentives:
- Introduce promotions, discounts, or exclusive events aimed at increasing female subscriber enrolment.II. Weekly Usage Patterns:
1.Customer Segment:
- Challenge: High weekend demand.
- Opportunity: Implement incentives, such as promotions or loyalty programs, to balance customer usage throughout the week.2. Subscriber Segment:
- Challenge: Slight dip in weekend usage among subscribers.
- Opportunity: Launch targeted promotions on weekends to encourage increased engagement from subscribers.Recommendations:
1. Operational Adjustments:
- Strategically allocate resources based on weekly usage patterns to optimize bike availability and maintain service quality.2. Weekend Subscriber Engagement:
- Introduce special promotions or events on weekends to capitalise on increased subscriber engagement.III. Average Ride Duration:
1. Customer Segment:
- Challenge:Longer rides on weekends may impact bike availability.
- Opportunity: Implement dynamic pricing or incentives to balance bike availability during peak customer ride durations.2. Subscriber Segment:
- Opportunity: Leverage the increased ride duration on Saturdays to promote special events or extended ride options for subscribers.Recommendations:
1. Operational Adjustments:
- Implement dynamic pricing strategies to optimize bike availability during peak customer ride durations.2. Weekend Subscriber Promotions:
- Introduce promotions on Saturdays to encourage longer rides among subscribers.Future Marketing Program:
1. How do annual members and casual riders use Cyclistic bikes differently?
- Conduct user surveys and analyze data to identify distinct usage patterns, preferences, and needs among annual members and casual riders.2. Why would casual riders buy Cyclistic annual memberships?
- Offer tailored promotions, incentives, or added benefits addressing the specific needs or concerns of casual riders, encouraging them to opt for annual memberships.3. How can Cyclistic use digital media to influence casual riders to become members?
- Develop targeted digital marketing campaigns highlighting the benefits of annual memberships, such as cost savings, exclusive promotions, and an enhanced user experience.Conclusion:
This integrated approach ensures that Cyclistic not only addresses current challenges but also seizes opportunities for growth and user satisfaction. Continuous monitoring and adaptation based on data insights will be pivotal for Cyclistic's sustained success in the dynamic bike-sharing market.

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