RESHMA PATHAN

• Company Overview: Info salons is the leading provider of events technology solutions for online and onsite registration, data tracking and capture, for the exhibitions and events industry throughout greater Asia
• Clients worked for include DWTC, REED Int'l, Informa, etc
• Developed robust data monitoring and analysis procedures for diverse data sources including company databases (SQL, cloud, local) and supplier data, ensuring comprehensive insights into operational processes
• Conducted thorough exploratory data analysis (EDA) to uncover patterns and trends before initiating data mining efforts, enhancing the accuracy and relevance of subsequent analyses
• Produced insightful reports and visualizations using classical and business intelligence (BI) tools, facilitating informed decision-making processes at various organizational levels
• Extensive use of Power BI for reporting
• Spearheaded the design and implementation of BI software and systems, seamlessly integrating them with databases and data warehouses to streamline data access and analysis
• Successfully rolled out BI solutions and reports to end-users, ensuring widespread adoption and utilization across departments for improved operational efficiency
• Leveraged Unsupervised Learning techniques to develop persona profiling strategies, enabling targeted marketing and service customization initiatives
• Applied Supervised Learning algorithms to predict visitor attendance based on historical data, employing advanced ensemble models such as Random Forest, Gradient Boosting Classifier, and Catboost Classifier via FastAI framework
• Conducted WiFi Analytics reports and generated heatmaps to optimize network infrastructure and enhance customer experience within shipping facilities
• Explored statistical tools and methodologies including Operations Research and Python dashboards to identify and implement additional feasible services, contributing to the expansion and diversification of the data science team's capabilities
• Info salons is the leading provider of events technology solutions for online and onsite registration, data tracking and capture, for the exhibitions and events industry throughout greater Asia
• Clients worked for include DWTC, REED Int'l, Informa, etc

• Company Overview: Staytus works with the world's finest luxury hospitality brands; Dorchester Collection, Fairmont, Four Seasons, Park Hyatt, JW Marriott, Taj to name a few
• Staytus is one of a kind marketing partners with the hotels to deliver story, tailor their messages and build communities among the guests
• Query, structure, and clean big data in preparation for data analysis
• Write statistical programs using Stata, Python, R
• Analyze hotel guest spending behavior by using various statistical methods (Outlier Analysis, Trend Analysis, etc.)
• Analyze the marketing performance of the company by conducting A/B testing
• Create and update dashboards using Tableau and Keynote
• Discuss results and insights to the hotel management and executive teams to aid them on their decision making
• Perform ad-hoc data analysis (sampling, clustering, factor analysis, linear regression)
• Help optimize the data warehouse and data flow processes
• A leading contributor to the design of business intelligence services requirements
• Staytus works with the world's finest luxury hospitality brands; Dorchester Collection, Fairmont, Four Seasons, Park Hyatt, JW Marriott, Taj to name a few
• Staytus is one of a kind marketing partners with the hotels to deliver story, tailor their messages and build communities among the guests

Conducting digital intelligence gathering, including social media analytics, to identify qualified leads and assess market expansion opportunities. Performing competitive needs analysis to profile decision-makers within target accounts. Engaging with prospects via digital outreach and CRM channels to initiate contact and arrange discovery sessions. Participating in industry conferences and networking events for strategic relationship building. Designing high-impact presentations and sales collateral. Providing clients with product updates to maintain engagement and drive upsell opportunities. Developing customized proposals and pricing structures. Managing negotiations through multichannel communication strategies. Establishing KPIs and tracking performance metrics to ensure sales targets are achieved. Conducting skills development sessions for team members and leading a team of three tele-sales representatives, alongside on-ground sales execution.

• Company Overview: Maharashtra Institute of Technology (MIT), is one of the first private engineering college in Maharashtra and a center of training for vocational courses
• SAS, Python, and Data Analysis: Proficient in conducting training and seminars on SAS, Python, and data analysis using tools such as E-Miner, E-Guide, Numpy, Pandas, Matplotlib, and Seaborn
• Machine Learning: Skilled in teaching machine learning concepts and techniques with Python, covering supervised learning (including linear regression, logistic regression, decision trees, random forests, and support vector machines) and unsupervised learning
• Maharashtra Institute of Technology (MIT), is one of the first private engineering college in Maharashtra and a center of training for vocational courses
• Designed and developed training materials for new employees in the organization.
• Provided feedback on employee performance based on observed results during training sessions.

• Company Overview: Kingfish is a private equity advisor and investor
• This was a fast paced, high intensity role that required me to consistently think on my feet and contribute to teamwide project on the basis of my knowledge daily
• Conduct secondary research and identify industry executives and consultants for Advisor Network Expansion
• Identify key market trends on specific deals
• Create client ready deliverables and deal overviews
• Build competitive landscapes and identify opportunities in specific sector
• Contribute towards team-wide initiatives: deal sourcing, sales
• Actively participate in skill-building, process improvements and knowledge sharing sessions within and across teams
• Kingfish is a private equity advisor and investor
• This was a fast paced, high intensity role that required me to consistently think on my feet and contribute to teamwide project on the basis of my knowledge daily

• Company Overview: (Formerly known as GE Capital)
• Carried out Campaign Analysis on PayPal portfolio
• Worked on structured data
• Worked on Oracle database using Unix as a platform
• Performed segmentation while rolling out campaign
• Skills in analyzing the Data Normality, Collinearity & outlier detection and carrying out Descriptive Statistical Analysis
• Gained experience in Model Building Strategies, Regression Analysis and Data Reduction Techniques
• Gained experience in handling complex data processes using SAS Base, SAS Stats, SQL and MS Excel
• (Formerly known as GE Capital)
• Awarded Player of the Match trophy for Women's Inter-portfolio