S

Sidharth Jindal

AI Researcher

Bengaluru, Karnataka, India4 yrs 1 mo experience

Key Highlights

  • Expert in Machine Learning and Data Science
  • Proven track record in fraud detection and risk analysis
  • Strong leadership experience in managing budgets and teams
Stackforce AI infers this person is a Fintech and SaaS expert with strong data science and machine learning capabilities.

Contact

Skills

Core Skills

Machine LearningData AnalyticsFraud DetectionData ScienceFinancial ManagementSoftware Development

Other Skills

Risk AnalysisBattery Life PredictionAutomated PipelinesBudget ManagementFinancial AnalysisFace DetectionWeb DevelopmentBig DataData MiningDeep LearningC++Python

About

Hi, I am Sid and currently in the process of FIRE-ing. Firm believer of the fact that there are no free lunches and a massive First Principle practitioner. Dangle projects include Financial prediction, Risk modelling, Fraud prevention and B2C Sales, Growth, Strategy having an impact on millions of stake holders. Been at top leadership positions where I exploited true values such as ownership, clarity, balance, integrity and team work spirit. Feel free to hit me up for literally anything but just make sure you spell my name right :) -Cheers!

Experience

4 yrs 1 mo
Total Experience
1 yr 4 mos
Average Tenure
--
Current Experience

Hyperverge inc.

Machine Learning Engineer

Jun 2020Dec 2022 · 2 yrs 6 mos

  • Solutions for continuous user authentication- based on gait data and other mobile sensors.
  • Failed experiments around graph database- to analyse fraud rings and estimate similarity patterns across them.
  • Estimation of Risk Analysis of candidates based on digital presence/ PF passbook/ other publicly available databases for credit lending solutions.
  • Developed Behavioural Analytics systems to detect fraudster based on the interactions with the loan applying app.
  • Setting up pipelines and running simulations for analytic reports of video-kyc calls to understand future potential blockages.
  • Algorithms to detect tampering/ reusing the same NID card for various onboarding apps which saves the company nearly $2000 for each fraudster caught.
Machine LearningFraud DetectionRisk AnalysisData Analytics

Ather energy

Data Scientist

Dec 2019Jun 2020 · 6 mos

  • Constructed models that determine the minimum rest time needed to be given to a battery after use before its put back on charging, to extend its battery life. Self Battery diagnosis system to determine battery life and indicate the rider if he would need to get it serviced.
  • Rider profile analysis to understand the trends and patterns in the riding, charging behaviour over thousands of session. Classify the riders based on the similarity and consistency on their riding patterns.
  • Efficiently running automated pipelines on Airflow which generates data and reports rich in visualisation providing valuable real time insights to the business team.
Data ScienceBattery Life PredictionAutomated Pipelines

Hyperverge, inc.

Intern

May 2019Jul 2019 · 2 mos

  • Engineering, Face, documents;
  • Obfuscated, encrypted one of the company's IP Omega, so that it could be safely deployed in clients system without the risk of the technology being stolen. Improved the accuracy of face detector model which serves as a starting point to the pipeline of face match and liveness verification.
  • Developed an algorithm to match and achieve a similarity score between the communication address entered by a customer and the OCR detected address from its legal document.
  • Developed an interactive web page for a client which would pass live clicked images for verification process.
Face DetectionWeb DevelopmentSoftware Development

Student council mit, manipal

Treasurer

Oct 2018Nov 2019 · 1 yr 1 mo · Manipal

  • Managed allocation of monitory assets to college fests which had a turnover of more than 10 Million over one year. Identified key insights with very little downside on development of campus life , which smoothened the working of various students with administration.
  • Prepared yearly budget with the extra funds to which both the student and staff can be benefited out of.
  • Developed faster and digitalised systems for reimbursements, rewards and prizes to track each students effort being spent for college activities.
Budget ManagementFinancial AnalysisFinancial Management

Uber

Transporter

May 2018Jul 2018 · 2 mos

  • Transporting the real treasure - Fooood😋
  • Out of McDonald's, Pizza Hut, KFC and Zomato- this was the only place I could land such a responsibility.
  • Eventually, I took up a job at UberEats that involved everything from delivering orders, making sure right food was collected and handed to right eater, dealt with hangry customers, restaurant managers, figuring out algos on how delivery partners were given orders and loop holes in the system :P
  • In short- getting out of my comfort zone was the top priority then until I figured what I wanted in life.

Education

Manipal Academy of Higher Education

Bachelor of Technology - BTech — CCE

Narayana Junior College , Nallakunta

High School — Science

Pallavi Model School

Secondary School

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