Sarang Dev Saha

Co-Founder

Bokaro, Jharkhand, India2 yrs 9 mos experience
AI EnabledAI ML Practitioner

Key Highlights

  • Built production-grade machine learning systems.
  • Expertise in fraud analytics and fintech risk.
  • Strong background in computer vision and data engineering.
Stackforce AI infers this person is a Data Scientist specializing in Fintech and Machine Learning.

Contact

Skills

Core Skills

Machine LearningData ScienceComputer VisionDeep LearningWeb DevelopmentSoftware Engineering

Other Skills

Python (Programming Language)Data AnalysisSQLAmazon S3Amazon Web Services (AWS)Apache AirflowDecision SciencesExploratory Data AnalysisDockerAnalytical SkillsModel BuildingDatasetsPresentationsAnalyticsStrategic Thinking

About

I’m a Data Scientist with ~2 years of hands-on experience building production-grade machine learning systems across fraud analytics, identity intelligence, fintech risk, sports analytics, and large-scale data pipelines. Currently a Data Scientist at Weaver, working on AI-driven, tech-first solutions in the housing-finance fintech space, with a focus on credit decisioning, risk, and data-driven systems built from the ground up. Previously at Bureau, I built and deployed fraud, mule, and underwriting risk models, drift monitoring frameworks, identity-matching systems, and scalable data workflows powering real-world decision-making. Before that, I worked on real-time FMO tracking models for sports analytics at Rally Vision. I enjoy solving ambiguous problems, turning models into reliable products, and bridging the gap between technical systems and business impact. Always open to conversations around machine learning, applied AI, fintech risk, computer vision, and building scalable data systems. Let’s connect if you’re building something meaningful with data.

Experience

2 yrs 9 mos
Total Experience
7 mos
Average Tenure
4 mos
Current Experience

Weaver

Founding Data Scientist

Jan 2026Present · 4 mos · Mumbai, Maharashtra, India · Hybrid

  • Part of the founding tech team building an AI-first housing-finance lending platform, focused on credit decisioning, risk, and underwriting intelligence.
Machine LearningData Science

Bureau

2 roles

Data Scientist

Promoted

May 2025Jan 2026 · 8 mos · Bengaluru · Hybrid

  • Led Alt-Data Drift Detection and Monitoring framework using PSI, KS and JS with automated retraining
  • Built AddressIQ for address quality, similarity and completeness scoring
  • Deployed Bi-LSTM Name-to-Gender model via FastAPI and TrueFoundry for real-time inference
Python (Programming Language)Data AnalysisSQLAmazon S3Amazon Web Services (AWS)Apache Airflow+2

Associate Data Scientist

Nov 2024May 2025 · 6 mos · Bengaluru · Hybrid

  • Built and deployed fraud, mule and underwriting risk models using alternate data
  • Co-developed a ₹4.4 Cr chargeback prevention engine for Housing.com
  • Built risk & monitoring dashboards in Apache Superset
Python (Programming Language)Decision SciencesExploratory Data AnalysisData AnalysisSQLAmazon S3+4

Rally vision

Data Scientist

Jul 2024Oct 2024 · 3 mos · Bengaluru, Karnataka, India · Remote

  • Worked on ball tracking models especially TrackNetV3. Created datasets, implemented and trained separate black and white ball models for the game of squash.
DockerPython (Programming Language)Analytical SkillsMachine LearningModel BuildingComputer Vision

Cistup (centre for infrastructure, sustainable transportation and urban planning) @ iisc

Project Intern

Jan 2024Jun 2024 · 5 mos · Bengaluru, Karnataka, India · On-site

  • Road Safety Data Analysis: Compared road safety datasets from the UK, US, and France to Indian datasets, highlighting major data quality gaps and improvements needed for effective safety measures.
  • Violation Detection: Studied and applied YOLO and centroid tracking for detecting motorbike violations (e.g., triple-riding, no-helmet) and wrong-way driving from CCTV footage.
  • Data Extraction: Built a Python script using BeautifulSoup4 to scrape and structure Karnataka FIR data post-2016, streamlining trend analysis.
  • Traffic Analysis: Conducted spatial-temporal analysis of traffic violations at 50 Bengaluru intersections, incorporating weather data to identify potential correlations and inform predictive models.
  • Vehicle Detection & Traffic Estimation: Created a YOLOv8 model for vehicle detection/classification ("Auto," "Bus," "Car," etc.) using a custom dataset. Developed a real-time PCU-based traffic intensity estimator with a tool for marking lane boundaries.
DatasetsPython (Programming Language)Analytical SkillsPresentationsAnalyticsMachine Learning+4

Quidich innovation labs

Data Science Intern

Jul 2023Apr 2024 · 9 mos · Mumbai, Maharashtra, India · Remote

  • Working closely with the data engineering, software and machine learning teams to implement, test, and optimize the recommendation algorithms for developing a recommendation engine. Thus, gaining hands-on experience of data analysis, structures, development, machine learning and collaborative problem-solving within a dynamic team environment.
DatasetsPython (Programming Language)Analytical SkillsMachine LearningStrategic ThinkingData Science+9

The lnm institute of information technology

2 roles

Teaching Assistant

Jan 2023Apr 2023 · 3 mos · Jaipur, Rajasthan, India · On-site

  • Computer Networks
  • Guiding a batch of 60 students to learn essential Computer Network.
  • Duty was to aid junior students to help them better learn the practical concepts.

Teaching Assistant

Aug 2022Nov 2022 · 3 mos · Jaipur, Rajasthan, India

  • Computer Organisation and Architecture
  • Guiding a batch of 60 students to learn essential CPU Simulation & Computer Architecture.
  • Duty was to aid junior students to help them better learn the practical concepts.

Ihub divyasampark @ iit roorkee

Undergraduate Research Fellow

Oct 2022May 2023 · 7 mos · Roorkee, Uttarakhand, India

  • Awarded the Chanakya UG Fellowship to carry out research in the scheme entitled “Smart Traffic Engagement and Management Systems (STEMS)" sponsored by iHUB DivyaSampark, set up under NM-ICPS at IIT Roorkee. (A joint initiative of DST, GoI and IIT Roorkee)
Data ScienceDeep Reinforcement LearningDeep Learning

Nit trichy

Research Intern

Jun 2022Aug 2022 · 2 mos · Tiruchirappalli, Tamil Nadu, India

  • Working under the guidance of Dr. Chandramani Chaudhary (Assistant Professor, Dept. of Computer Science and Engineering at NIT Trichy) and aiming to build a robust Fake news detection model pertaining to Indian news agencies using deep learning.
JupyterPython (Programming Language)PyTorchDeep LearningPandas (Software)Data Science

The lnm institute of information technology

LUSIP Summer Intern

May 2021Jul 2021 · 2 mos · Jaipur, Rajasthan, India

  • LNMIIT Undergraduate Summer Internship Program under Dr. Mohit Gupta
  • My-Covid is an integrated system of health records, operable by Doctors and nursing staff which can be presented to patient and relatives on request. Much like aarogya setu app, we will provide contact tracing but specific to patients in the hospital. An Android app for ( Few App features)
  • a) Patients to review records, drugs, bills and other instruments as well as make payments through UPI for services billed at our hospital.
  • b) Allowing relatives to review isolated Covid-19 patient's status in terms of current condition, past 24hr status, meals etc.
  • 3) Also a web portal, solely for the use of medical staff inside the organization for monitoring purposes.
  • https://my-covid-hospital-app.herokuapp.com/img.png
HerokuHTML5Web DevelopmentMongoDBBootstrapCascading Style Sheets (CSS)+2

Education

The LNM Institute of Information Technology

Bachelor of Technology - BTech — Computer Science

Jan 2020Jan 2024

Delhi Public School

May 2006Mar 2020