Shubham Mishra

Client : Breg

• Managed and resolved day-to-day support tickets, ensuring timely and effective solutions to meet client needs
• Provided continuous support through regular calls, maintaining clear communication with end users and clients
• Addressed and fulfilled client requests based on ticket assignments, ensuring prompt and accurate responses
• Troubleshot and resolved issues related to SQL queries, reports, subscriptions, and other technical challenges
• Collaborated with cross-functional teams to diagnose and resolve complex technical issues, ensuring optimal system performance

Client : Planned Parenthood

• Supervised daily job processes, proactively monitoring for failures and troubleshooting issues to minimize operational disruptions
• Identified and resolved job failures, collaborating with cross-functional teams for corrective actions
• Managed and prioritized support tickets, providing prompt and effective resolutions within service level agreements
• Facilitated regular communication with clients, addressing requests efficiently while maintaining updates for stakeholders
• Troubleshot complex SQL, report, and subscription issues, ensuring stability and accurate reporting
• Client: Planned Parenthood

Client: Service Corporation International

• Gathered user requirements and attended daily feedback calls with clients to ensure project alignment
• Designed and developed custom dashboards and reports for sales managers using TCRM and SAQL
• Outcome: Delivered comprehensive dashboards with Key Performance Indicators (KPIs) to enhance decision-making

Client: Unibail-Rodamco- Westfield

• Managed client requirements on a day-to-day basis, ensuring project updates and coordination
• Created views for Tableau integration and customized reports, reducing reporting time from12 hours to minutes
• Outcome: Successfully hosted Tableau reports on Tableau Server and improved Excel Macro execution time significantly

Client: ModCloth -

• Customized Excel macro reports and migrated to Tableau dashboards to enhance data presentation
• Reduced report generation time significantly (from12 hours to minutes)
• Tools: Tableau Desktop, Tableau Server

Client: Bank of America :

• Developed predictive models for sales forecasting and customer buying behavior analysis
• Built solutions using machine learning techniques to predict future sales, achieving90% prediction accuracy
• Outcome: Increased sales by60% by predicting customer product buying behavior using machine learning

Client: Stop and Shop -

• Built predictive models using machine learning to forecast sales and optimize product stocking
• Tools: Python, Scikit-Learn, NumPy, Pandas

Client: In-N-Out Burger -

• Assisted with building machine learning models and algorithms to analyze customer reviews and categorize sentiments
• Developed a model to classify customer reviews as positive, neutral, or negative, improving customer experience
• Outcome: Increased the user base by40% and reduced negative reviews by improving sentiment analysis