LTFS Data Science FinHack ( ML Hackathon)
About the Event
L&T Financial Services & Analytics Vidhya presents ‘DataScience FinHack’.
Amazing opportunity for all creative nerds to apply their data science & machine learning skillset to best solve a real business problem.
In this FinHack, you will develop a model for our most common but real challenge ‘Loan Default Prediction’ & also, get a feel of our business!
If your solution adds good value to our organization, take it from us, Sky is the limit for you!
About L&T Financial Services (LTFS):
Headquartered in Mumbai, LTFS is one of India’s most respected & leading NBFCs providing finance for two wheeler, farm equipment, housing, infra & microfinance. With a strong parentage & stable leadership, it also has a flourishing Mutual Fund & Wealth Advisory business under its broad umbrella.
Our Advanced Analytics team,
- Solves only ‘Real’ Business Problems through Data
- Enables business decisioning across all verticals
- Harnesses external data (incl. mobile, social media, bureau, socio economic etc)
- Utilises non-conventional and innovative data science approaches
LTFS was featured in "Forbes Super 50 Companies“(August 2018)
To know more about LTFS, please visit:www.ltfs.com.
Follow us:
- FB: https://www.facebook.com/LnTFS/
- Twitter: https://twitter.com/LnTFSOnline/
- Youtube: https://www.youtube.com/user/ltfinance
- Linkedin: https://in.linkedin.com/company/l&t-finance
About the Job Role:
Positions: Data Scientist
Location: Mumbai
Minimum Qualification: BTech/MTech/MS in Stats/Maths/Economics/Analytics and an Analytical Mind!!
Relevant Work Experience: 2+ Years
Mandatory Skillset: Creative thinking, Analytical mindset, Conceptualising & Problem Solving
Summary of Responsibilities
- Collaborate with fellow data scientists, business teams & internal stakeholders
- Conceptualise business problems, design & deliver superior analytical solutions
- Independently handle project work streams with minimum supervision
- Think, think, think……. & lastly, deliver & execute
Desired Skills
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Proven background in at least one: Regression Models – Logistic/Linear, Stochastic Models, Bayesian Modeling, Classification Models, Cluster Analysis, Neural Network, Non-parametric Methods, Multivariate Statistics;
- Proficiency in at least one statistical and other tools/languages – R/Python/SAS;
- Familiarity with relational databases and intermediate level knowledge of SQL;
Experience working with large data sets and tools like MapReduce, Hadoop, Hive, etc would be an advantage
Who all can Participate?
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Open for all data enthusiasts: Statisticians, Data scientists, Analysts, and Students.
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LTFS employees are not allowed to participate in the competition.
Prizes:
- 1st : INR 2,00,000
- 2nd : INR 1,00,000
- 3rd : INR 50,000
Top scorers also get a chance tointerview with LTFSfor roles in Advanced Analytics team based inMumbai.
Rules:
- Entries submitted after the contest is closed, will not be considered
- Individual participation is allowed in the hackathon, and participant can either be a part of a team or can participate individually.
- Multiple IDs of user leads to disqualification from the contest
- Use of external data is not allowed
- Participants who are interested in a job opportunity withLTFS must update their profile details and upload their latest CV
- The decision on the winners and runners-up made by Analytics Vidhya <FS will be final and binding
- Throughout the hackathon, you are expected to respect fellow hackers and act with high integrity
- Analytics Vidhya andLTFS hold the right to disqualify any participant at any stage of competition if the participant(s) are deemed to be acting fraudulently.
- Cash prizes will be subject to TDS (Tax Deduction at Source) as per Indian Iaws.
- In case any winners in top 3 are outside of India, they will need to provide required documents (tax residency certificate, passport, bank account details, etc.) as required by Indian laws
Team Formation
- Click here to view process flow for Team Creation
- Maximum of 2 people can form a team.
- One person can be a part of one team only.
- In case a team wins, prize would be distributed equally among team members
- Team once created can't be dissolved.
- Teams can't be merged.
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Spaces You Can Join
Data Science
Over here, you can engage in discussions, ask questions, share insights, and converse about all things Data Science, from regression models to LLMs!
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Generative AI
Over here, you can engage in discussions, ask questions, share insights, and converse about all things Data Science, from regression models to LLMs!
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Frequently Asked Questions
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There are no specific requirements to register for the hackathon, although it is recommended to have some basic knowledge of the relevant topics, such as Data Science, Machine Learning, or Deep Learning, along with proficiency in a coding language, preferably Python.
Depending on the type of competition, you can participate individually or in a team.
You can access the problem statement under the "Problem Statement" tab once the Hackathon is live.
Participants benefit from one-on-one feedback, publication on a respected platform, recognition from a global audience, and monetary rewards for each published article. Additionally, the top articles receive special rewards.
Each article must be original, and pass plagiarism and not AI generated content checks. You can submit multiple articles as long as each is distinct. Proper citation of all references and image sources is mandatory.
In the Blogathon, an article typically explores a specific topic or idea within Data Science or Generative AI and is required to be at least 1000 words long. A guide, on the other hand, is a more comprehensive resource, covering all aspects of a particular subject in data science, and must be at least 2500 words long. Guides aim to serve as a one-stop resource, providing detailed insights and practical applications, whereas articles might focus on narrower or more specific topics.
Multiple submissions of the same article are prohibited and could lead to disqualification. Articles failing to meet the required length, originality, or citation standards will be rejected.
AVCC is a community for authors who have had three or more articles published in the Blogathons. Members benefit from monetary rewards for each published article and get the opportunity to showcase their work to a larger audience.
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