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From gaining new experiences in different roles to acquiring fresh knowledge and skills – at UBS we believe that you should never stop growing and learning because life never stops teaching. We know that it's our people – with their unique backgrounds, skills, experience levels and interests – who drive our ongoing success. Ready to be part of #teamUBS and make an impact? Find out more at ubs.com/careers. 

UBS works with individuals, families, institutions, and corporations around the world to help answer some of life's questions – whether through award winning wealth management advisory, investment banking and asset management expertise, or private and corporate banking services in Switzerland*. In June 2023, Credit Suisse became a UBS Group company.

With more than 124,000 colleagues around the world**, we collaborate across all major financial centers in 50 countries**. Although we all come from different backgrounds and specializations, two things unite us: the conviction that we’re stronger together, and the will and curiosity to constantly innovate.  That’s the key to us unlocking our full potential (and what we look for in everyone who joins us). It’s also why we’re regularly recognized as an attractive employer.*

* Our awards https://www.ubs.com/awards
** Includes Credit Suisse, as at 31 December 2022
Social Media Legal Terms: http://www.ubs.com/social-legal

MentorCruise is an education platform which has the goal to connect self-driven and aspiring tech students with experienced and impressive professionals. 

Want to start a career in Data Science but feeling confused about where to start? Exploring Data Science by yourself but still no results? Send me a message! 

Want some help in research? Ready to participate in Kaggle or have some billion dollar idea? Let's connect and work together.
I'm always open for discussions, so feel free to ask any questions or concerns or if you want guidance.

Connect with me at MentorCruise

Show the world what you are made of! Connect with one of 2,000+ mentors in the industry of your interest for longterm mentorship and reach your goals quicker.

We connect aspiring people with founders, veterans and talents working at the best companies in all the industries to help them push towards their goal and reach the next level of their careers.

➕ Part of the HR Insights and Innovation (People Analytics) department with emphasis on:-

➡️ Consulting across projects to advise/suggest improvements to achieve the desired objectives.
➡️ Applying state-of-the-art Data Science, ML, and NLP techniques to the problems at hand.
➡️ Design, implement and evaluate cost-effective and impactful approaches based on clients/business requirements.
➡️ Collaborate, understand and develop advanced analytics products.

Project: Improving Case Management for Cross-Border Child Protection

In this project, the team built an AI planning model and web application that makes social case management more efficient and effective. The project partner International Social Service (ISS) is an international NGO founded in 1924, which helps more than 75,000 families per year across the globe.

Provider of AI development solutions. It is a platform helping mission-driven organizations and startups build impactful AI solutions through global collaboration and empowering AI Engineers. Its specialties are artificial intelligence, machine learning, data science, AIforgood, data collection, data engineering, satellite imagery, NLP, policy anal

➕ Part of the DS Team at Appzen with focus on:-

➡️ End-to-end understanding of Deep Learning-based NLP models.
➡️ Starting from data collection to model deployment
➡️ Code enhancements which include bug fixes, and code optimization
➡️ Design and develop python scripts to automate tasks related to DS

Coatue

Lightspeed Venture Partners

Redpoint Ventures

Arif Janmohamed

Resolute Ventures

Bloomberg Beta

FundersClub

Mastercard

500 Global

SilverHaze Partners

Azoic Ventures

Arba Seed Investment

RightVentures

Commerce.Innovated

Hard Yaka

Geodesic Capital

Best Horizon

PROOF

Reciprocal Ventures

KBW Ventures

FCVC

Evolution VC Partners

Scale Asia Ventures

Human Capital Development

AppZen is a Virtual Personal Assistant for Expense Management that provides a ‘Google Now’ kind of experience for expense reports. AppZen’s patent technology uses natural language processing, machine learning, and Artificial Intelligence to provide a solution for enterprise expense report audit and compliance. The AppZen expense reports mobile solution automatically creates expense reports from various sources of data such as credit cards, receipts, calendars and travel itineraries. AppZen claims to have big organizations such as Comcast, National Instruments, Calypso etc. as its clients.

Personal Assistant for Expense Management

✍ Worked as a Jr. Data Scientist with PSL ML team holding experience in:

✔ ML algorithms for classification, regression, and clustering, DL models, and NLP techniques/applications.

✔ Hands-on experience in building online/incremental learning-based NLP models.

✔ I have worked across different domains like banking, medicine, and finance.

⚡ Key highlights

➤ Mentoring a team and guiding them in developing a recommender system for the medical domain.

Norwest Venture Partners

Gabriel Venture Partners

Baring Private Equity Partners

Elevation Capital

India Capital Growth

eLab Ventures

Provider of software product development, cloud, IT security, and other services. It also provides product design, QA testing, support assurance, digital business strategy, digital product engineering, and core IT modernization services. Its partner ecosystem includes AWS, IBM, Microsoft, Google, and Motorola.

Provider of application development, data analytics, and digital transformation services

✍ Working as a Jr. Data Scientist with PSL ML team holding experience in:

✔ ML algorithms for classification, regression, and clustering, DL models, and NLP techniques/applications.

✔ Handling highly Imbalanced data-sets

✔ Processing, cleansing and verifying the integrity of the data used for
analysis

✔ Working across different domains from chatbots for banking clients to
knowledge-based graphs for AML case detection.

⚡ Key highlights

➤ Implemented a new algorithm for finding and resolving the abbreviations present in a given piece of text.

➤ Implemented two different pipelines for a classification task with the latter resulting in an improvement of classification accuracy by a margin of 9-10%

Coursework: 

Data Structures and Algorithms, Computer Organization, Data Mining, Mathematics for Data Science, Introduction to (Data Science/Statistics/Machine Learning), AI, Big Data Systems, NLP and IR, Deep learning

The eight week module equips you with the data science and analytics skills that are critical for the most in-demand jobs. Students will be able to source data relevant to a business problem or task, summarize data in aggregate statistics and visualizations, and model trends to show insights and make practical business decisions.