Omkar Gholap

Experience

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  TalentServe

  Jan 2021 - Apr 2021

  Data Science Intern

  • Analyzed user behavior data within the social media sector to extract actionable insights and generate reports. This analysis led to a 25% improvement in targeted marketing strategies and a 15% increase in user engagement metrics.• Designed and implemented a robust database schema in SQL for the website, developing stored procedures and triggers to ensure database integrity. This resulted in a 20% reduction in data inconsistencies and a 30% improvement in query performance.• Utilized statistical methodologies, Python libraries (such as Pandas), and data visualization techniques to identify trends within extensive data repositories. These insights facilitated a 10% increase in predictive accuracy for user behavior and a 25% enhancement in report clarity. Show less

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  Giesecke+Devrient

  Oct 2021 - May 2022

  Product Management Intern

  • Collaborated with internal stakeholders and project teams to develop a customer retention analysis model. Utilized SQL to efficiently query and extract pertinent data from large-scale databases, leading to a 20% improvement in retention strategy effectiveness.• Created interactive PowerBI dashboards that transformed raw data into actionable insights. This facilitated effective communication of key metrics such as customer churn rates and engagement scores to both technical and non-technical audiences, resulting in a 15% increase in stakeholder satisfaction.• Leveraged Excel to create, manipulate, and analyze complex spreadsheets. Incorporated advanced functions such as VLOOKUP, pivot tables, and dynamic charts to support data-driven decision-making, improving reporting efficiency by 25% and accuracy by 10%. Show less

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  TheoremLabs.io

  May 2023 - Oct 2023

  Data Science Intern

  • Developed a cutting-edge financial advisor chatbot featuring multiple personas, leveraging the advanced Llama 2 70b LLM model for enhanced conversational capabilities.• Established a secure and efficient private vector data store to store contextual information, enabling the chatbot to deliver personalized responses and maintain user context.• Conducted comprehensive data analysis on diverse datasets to enhance the functionality of a financial advisor chatbot, resulting in a 30% improvement in user engagement and a 20% increase in chatbot accuracy.• Collaborated closely with domain experts to validate and analyze data, ensuring the integrity and relevance of information fed into the chatbot, leading to a 15% reduction in data discrepancies.• Utilized Excel to create dynamic charts and graphs for analyzing key metrics such as user engagement,website traffic, and conversion rates. Developed KPI dashboards that enhanced data-driven decision-making, leading to a 25% improvement in user experience metrics and a 10% increase in overall chatbot performance. Show less

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  Hoosier Community Network

  Aug 2024 - now

  Senior Consultant

  • Developed a predictive booking model using Python and scikit-learn's random forest algorithm, incorporating historical booking data and seasonal trends to forecast customer behavior, which increased sales conversions by 20% through personalized marketing strategies.• Conducted in-depth analysis of tour schedules using SQL and visualized insights with Tableau, identifying inefficiencies in resource allocation that led to a 15% reduction in operational costs by optimizing staffing and tour routes.• Implemented customer segmentation using k-means clustering in R on demographic and purchase data, enabling the marketing team to launch targeted email campaigns that boosted customer retention by 25% through personalized offers and recommendations.• Optimized the company's website for search engines using SEO tools like Google Analytics and SEMrush, performing keyword analysis and improving site metadata and content structure, which resulted in a 35% increase in organic traffic and a 20% rise in online bookings. Show less