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Geetika Jain shared thisPatient no-shows for scheduled appointments are a persistent and costly problem for the healthcare industry. These no-shows lead to revenue loss and also create needless delays in the scheduling of appointments for other patients trying to see their physician. This dashboard provides insights into the populations more likely to miss their scheduled appointments. Timely patient-centered interventions targeted to these populations can help improve appointment attendance, thereby increasing access to care for patients and improving clinic efficiency. #datavisualisation #healthcare #patientcare #patientsatisfaction #operationalefficiency
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Geetika Jain liked thisGeetika Jain liked thisThis month, Upgrade team members across offices got moving for "Steptember", a company-wide push to get moving and log more steps. Team members participated in the American Heart Association's Heart Walk, traded their desks for trails and fresh air, and even competed in triathlons!
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Geetika Jain liked thisGeetika Jain liked thisWe're hiring for two hands-on, data-driven, strategic thinkers to join us in our Card Credit Risk team. If you want to join us in our journey in building an innovative, best-in-class card business, would love to chat! Check out the descriptions below. Director, Card Growth & Risk Initiatives https://lnkd.in/gYmbpv2f Manager/Senior Manager, ECM Policy & Portfolio Analytics https://lnkd.in/gqxsd4XnSenior Manager, Card Credit Risk - Line ManagementSenior Manager, Card Credit Risk - Line Management
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Geetika Jain liked thisGeetika Jain liked thisUpgrade team members have been volunteering together, giving their time to the local organizations that make a difference in their communities. 🥫Our San Francisco-based marketing team spent the day at SF-Marin Food Bank, packing 560 boxes with 15,680 lbs of food to be distributed to local families. 🎒Our Phoenix office participated in their annual Serve Day where team members assembled 900 heat relief kits for community members in need. 🪴East Coast-based team members volunteered at The Campaign Against Hunger’s urban agriculture center, helping plant new crops, clean weeds, and spread mulch throughout the gardens. We’re proud of our team members for helping their communities!
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Geetika Jain reacted on thisGeetika Jain reacted on thisI’m excited to share that I’ve joined SoFi as Head of International! What attracted me to SoFi is the combination of brand strength, platform depth, the quality of its team, and the unique infrastructure it has built in the U.S. SoFi has created a differentiated financial platform that combines a trusted consumer brand, a broad suite of products, and modern technology capabilities. That combination not only drives value for members today, but also provides a strong foundation for expansion into international markets. This mission is deeply personal for me. Having grown up in Turkey, I experienced firsthand how limited access, complexity, and a lack of transparency can make it harder for people to achieve their financial goals. It has long been my conviction that there is a meaningful gap between what people deserve and what they are often offered. I believe SoFi is uniquely positioned to help close that gap by bringing accessible, transparent, and member-centric financial products to new markets globally. Over the past 25 years, I’ve had the opportunity to build and scale consumer finance businesses across established banks and high-growth fintechs, including Capital One, Happy Money, and Revolut. One lesson has remained constant: ambition sets the direction, but disciplined execution, sequenced investment, and rigorous risk management determine the outcome. As Head of International, I’ll be focused on defining our international strategy and leading our execution in a way that earns trust in each market we enter. I’m grateful to Anthony Noto and the broader SoFi leadership team for the opportunity and look forward to building this next chapter together. Excited for what’s ahead!
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Geetika Jain liked thisGeetika Jain liked thisI am incredibly proud to share that my daughter, Defne Dusi, has chosen the University of California, Berkeley to study Economics. This achievement is the result of years of hard work, discipline, and real grit. She balanced academic excellence with purposeful extracurriculars, including rowing at the varsity level and founding a student-led initiative supporting underprivileged communities. I am excited to see her begin the next chapter at Berkeley. Go Bears!
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Geetika Jain liked thisGeetika Jain liked thisLong, long time ago (~5 years ago, pre-GenAI era)… There lived a Credit Investment Analyst. Let's call her CredIA. Each month, CredIA would pull data from dashboards, rebuild views in Excel, format reports, and double-check everything before sharing with stakeholders. To move faster, she turned to Python. Reports that once took days now took minutes. As the scope grew, she worked with her team to build internal tools: interfaces to generate formatted Excel reports. But one challenge remained: reconciliation across multiple sources. With GenAI tools, that challenge can now be overcome without heavy engineering lift. This demo shows what the solution looks like in practice. An integrated performance generator that serves as both an interactive dashboard and an automated report generator, allowing users to review origination and performance trends, and generate customized reports in one place. #CreditRisk #PortfolioAnalytics #InvestorReporting #FinTech #GenAI
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Geetika Jain liked thisGeetika Jain liked thisOne year ago today, I stepped into a role that I had spent years dreaming about. Today, celebrating my first Googleversary, I’m realizing that as big as the dream was, the reality has been even more profound. To say this past year has been a blessing would be an understatement. While the tech and the scale are incredible, what truly defines this place is the people. It has been a privilege to be working alongside some of the warmest and smartest minds in the industry. The culture here—one that masterfully balances technical rigor with a deeply supportive foundation—is the ultimate force multiplier for innovation. Here’s to many more years of building, leading, and growing together. 🚀💻🌟 #Googleversary #LifeAtGoogle
Experience & Education
Licenses & Certifications
Publications
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Efficacy of System Optimization by Genetic Algorithm with and without noise
IEEE Xplore
Two plants have been controlled by a Proportional-Integral-Derivative(PID) controller whose parameters are optimised using two techniques - Ziegler-Nichols tuning method and Genetic Algorithm(GA). The efficacy of GA for optimising the dynamic response of the system affected by 5% band-limited white noise has been examined. Finally, a practical case of a non-interacting two tank system has been considered and optimised using both conventional tuning and Genetic Algorithm.
Other authorsSee publication -
Implementation of Mathematical Functions using VHDL
International Journal for Scientific Research and Development
The paper evaluates the use of VHDL to implement mathematical functions like Runge Kutta, Newton Raphson, Trapezoidal Integration and Finite Difference Time Domain methods. These mathematical techniques have large number of implementations ranging from applied mathematics to electrical and power systems. Analysis of these equations using VHDL is not only useful but also improves efficiency when implemented on a large scale.
Other authorsSee publication
Courses
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Advanced Data Analytics
BANA 275
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Artificial Intelligence
IC 412
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Big Data Management Systems
BANA 295
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Customer and Social Analytics
BANA 277
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Data and Programming for Analytics
BANA 212
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Foundations of Business Analytics
BANA 200
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Foundations of Marketing
BANA 205
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Industrial Organisation and Managerial Economics
IC 305
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Machine Learning Analytics
BANA 273
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Management Science
BANA 201B
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Predictive Analytics
MGMT FE 288
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Statistics for Data Science
BANA 201A
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Supply Chain Analytics
BANA 290
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The Art and Science of Applied Forecast Modelling
BANA 290
Projects
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Graduate Business Analytics Case Competition - University of Iowa
Reducing Appointment No-Shows at UnityPoint Health
- Analyzed appointment-level patient data comprising of patient's health history, demographics and prior appointment history to identify factors driving patient no-shows
- Built a random forest classifier to predict a patient's no-show probability, which showed a promising accuracy of 89% on test and cross-validation samples
- Used the model predictions to devise an appointment-scheduling strategy focused on increasing access to care…Reducing Appointment No-Shows at UnityPoint Health
- Analyzed appointment-level patient data comprising of patient's health history, demographics and prior appointment history to identify factors driving patient no-shows
- Built a random forest classifier to predict a patient's no-show probability, which showed a promising accuracy of 89% on test and cross-validation samples
- Used the model predictions to devise an appointment-scheduling strategy focused on increasing access to care for patients and improving clinic efficiency
- Provided business insights, solutions and visual tools for the finance, operations and nursing teams
- Tools Used: Python, Tableau -
Location-Based Mobile Marketing
- Analysed data from a geo-fencing campaign to draw insights into factors affecting the clickthrough rate of an ad impression
- Provided marketing recommendations for the advertiser
- Tools used : R -
Stock Price Prediction
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- Built a linear regression model on monthly data to predict NVIDIA's stock price for December 2019
- Interpolated independent variables that are otherwise updated on a quarterly/annual basis
- Forecasted the values of independent variables using ARIMA time series forecasting
- Built a What-If Dashboard showing how changes in input variables will impact the stock price
- Tools Used : Alteryx, Tableau -
Credit Card Defaults
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- Performed data processing, exploration and visualisation
- Undertook feature engineering on customer demographics, bill and payment history, repayment status
- Trained Decision Tree model using these features, improving model’s ability to distinguish between defaults and non-defaults from 35% to 75% and achieving an accuracy of 81.6%
- Tools used : R, Weka, Tableau -
Customer Segmentation and Marketing Insights for Sun Country Airlines
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- Performed data processing on customer travel data and identified 5 segments using k-means clustering
- Analysed the differentiating features of these segments to provide visualisations and marketing insights
- Tools used : R, Tableau
Honors & Awards
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Highest GPA Award
University of California Irvine
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Dean's Scholar
University of California Irvine
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Faculty Fellow
University of California Irvine
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Merit Scholarship
Netaji Subhas Institute of Technology
Received Merit Scholarship for 3 consecutive years (2013-2016)
Languages
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English
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Hindi
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Jaz Gill
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Neelanja Makhija
🔎 Hiring Panel Lens [Series 17] The AI Failure Question Most PMs Answer Wrong After several AI PM interviews recently, I noticed something interesting. Many candidates are very comfortable explaining: ➡️the model ➡️the architecture ➡️the feature ➡️the launch But the conversation becomes much quieter when we ask something else. “What was the biggest failure risk in that AI system?” Strong candidates rarely talk about AI projects as only success stories. They talk about: ➡️where the system could fail ➡️what decision boundary was risky ➡️how they contained that risk ➡️when the system should escalate to humans Because AI products are not just feature launches. They are decision systems operating under uncertainty. One answer signals execution. The other signals product ownership. Execution framing: “We built an AI assistant to automate support queries.” Ownership framing: “We had to decide which support queries the AI could resolve autonomously without increasing escalation risk.” Now the panel understands: ✔️the product tension ✔️the decision boundary ✔️the risk trade-off In AI product work, seniority often appears in how someone discusses failure scenarios, not just outcomes. Strong PMs can explain: ✅️where the AI system might break ✅️how failure is detected ✅️who takes control when it does. That thinking is surprisingly rare. 📌 Quick reflection: When describing an AI initiative, do you naturally talk about: A) The feature B) The technology C) The failure risk and decision boundary Curious where most people land. #productmanagement #aiproductmanager #productleadership #artificialintelligence #pmcareers #techcareers #HiringPanelLens
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