Multithread effectively and personalize outreach to convert deals faster
Elevate social presence and drive business growth from social media
Identify and prioritize high-intent leads, and improve sales effectiveness
Find and connect with ICP attendees, and improve event outcomes
Pranali Shiras is an accomplished Data Scientist and Machine Learning Engineer with approximately 6 years of experience specializing in developing and deploying scalable machine learning models and data-driven solutions. She has a strong background in statistical analysis, predictive modeling, and natural language processing. Pranali is passionate about leveraging cutting-edge AI technologies to solve complex business problems and extract actionable insights from large datasets. She is proficient in Python, R, SQL, and various ML frameworks like TensorFlow, PyTorch, and Scikit-learn, with experience in cloud platforms such as AWS and Azure. Pranali is recognized for her analytical mindset, problem-solving abilities, and her capacity to translate technical findings into clear business value.
Pranali Shiras's work history includes a series of influential roles in various companies. Here is a detailed list of his professional journey:
Led the design and implementation of a novel machine learning-based fraud detection system that reduced fraudulent transactions by 25% for a major e-commerce client, resulting in significant cost savings and enhanced security. The system was recognized internally for its innovation and effectiveness.
Co-authored a research paper on advanced sentiment analysis techniques for social media data, published in a reputable AI conference proceedings. The paper explored hybrid models improving accuracy by 15% over baseline methods.
Received the 'Top Performer' award in her data science team for consistently delivering high-impact projects ahead of schedule and for her mentorship of junior team members in Q3 2022.
Invited speaker at the TechSagar AI Summit 2023, where she presented on 'Practical Applications of Explainable AI in Enterprise Solutions', sharing insights on making complex models more transparent and trustworthy.
Highperformr Signals uncover buying intent and give you clear insights to target the right people at the right time — helping your sales, marketing, and GTM teams close more deals, faster.
Credit Suisse Group AG was a global investment bank and financial services firm founded and based in Switzerland. Established in 1856 by Alfred Escher, it grew to become one of the world's leading financial institutions, offering services in private banking, investment banking, and asset management. After facing significant financial instability and a crisis of confidence, UBS Group AG announced its agreement to acquire Credit Suisse on March 19, 2023, in a deal orchestrated by the Swiss government. The acquisition was completed on June 12, 2023, with Credit Suisse Group AG being merged into UBS Group AG. Credit Suisse is currently undergoing integration into UBS.
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