Shivani Ghatge🇺🇸

About Shivani Ghatge

Vice President(Specialized Analytics Lead Analyst) at Citibank

Hello! I'm Shivani, a Lead Data Scientist with over 6 years of experience that spans the entire data lifecycle, including 2 years in Software Development and 4+ years dedicated to Data Science. My journey has been all about bridging the technical engineering realm with crucial business strategies, ensuring that data-driven decisions lead to significant impacts.

Currently, I specialize in the financial services and marketing sectors, where I spearhead the creation of efficiency models. My work involves optimizing marketing expenditures and crafting retention strategies that safeguard monthly recurring revenue. I am deeply passionate about developing data products that yield measurable return on investment (ROI).

I became a mentor on ADPList to empower the next generation of data professionals as they navigate the complexities of our field. I can help with:

Career Transitions: Moving from Software Engineering to Data Science or transitioning into Lead/Staff roles.

Technical Interview Prep: Structured guidance on SQL, Python, and Data System Design.

Domain Expertise: Understanding the nuances of Data Science within Marketing and Financial Services.

Strategic Thinking: How to identify and solve business problems like churn and budget optimization.

Expertise

Sessions with Shivani Ghatge

• Career Strategy & Resume Review (30 min): In our session, we can cover: Resume & Profile Optimization: A detailed review to ensure your projects—whether in Generative AI, machine learning, or operations research—are framed to capture the attention of hiring managers. Career Pathing & Transitions: Guidance on how to bridge the gap between your current role and your next career goal, including insights into moving from individual contribution to management. Skill Development Roadmap: Identifying the technical and soft skills required to level up, including practical advice on system design and navigating the modern AI landscape. Mentorship & Support: A safe space to discuss challenges, prepare for technical interviews, and build confidence in your professional identity.
• Transition to Data Science (30 min): Transitioning from a traditional engineering or analyst role to Data Science represents a significant evolution in your problem-solving methodology. In this session, I will draw on my journey from a Software Developer at Oracle to my current position as Lead Data Scientist at Citibank to help you navigate this transformative path toward achieving "Full-Stack" competency. We will start by assessing your current skills and experiences, identifying the transferable abilities that can act as a solid foundation for your venture into AI and machine learning. Following this, we will conduct a skill gap analysis to highlight two or three critical areas to prioritize, whether they are SQL, statistics, modeling, or the art of productionizing your work. Additionally, we will explore how to create a portfolio project.
• Coffee Chat (30 min): Looking for some guidance or a fresh perspective? I’m here to chat about all things data science, operations research, or professional growth. Think of this as a relaxed space to ask questions, troubleshoot a career challenge, or gain insights into the industry. No formal agenda required—bring your curiosity, and let’s talk.

What mentees say

“Shivani was an exceptional mentor who truly exceeded my expectations. Her amazing communication and profound subject knowledge made our session incredibly insightful. She motivated me to explore new perspectives and gain clarity on crucial topics. I highly recommend booking a session with her!”

“I had an outstanding experience with Shivani! Her amazing communication and deep subject knowledge truly shone through as she provided invaluable insights on my resume. She motivated me and expertly guided me on how to craft an effective resume, enhancing my confidence in the process. I highly recommend booking a session with her.”

“Shivani was extremely approachable, supportive, and insightful throughout the session. She took the time to understand my background, career goals, and current challenges as an MS student transitioning into the AI/Data Science industry. I appreciated her practical advice, industry perspective, and willingness to provide honest feedback.”