sachidananda hota
@sachidanandahota
I build fraud-risk analytics, scoring frameworks, and automated dashboards that reduce fraud and accelerate decisions.
IndiaWhat I'm looking for
At NSDL Payments Bank, I build fraud and risk monitoring systems across millions of transactions. My risk-scoring frameworks have helped block 100+ high-risk agents, prevent onboarding of 4,000+ potentially fraudulent customers, and reduce fraud rates by 50% with a 3% false-positive rate.
I also create Power BI dashboards and automated ETL reporting that improve decision-making and reduce manual effort. Earlier, I drove data-led business growth at Ashok Leyland, managing dealer and retail networks while improving inventory efficiency, expanding coverage, and launching new product lines.
Experience
Work history, roles, and key accomplishments
Data Scientist – Fraud and Risk Monitoring
NDSL Payments Bank
Apr 2025 - Present (1 year 5 months)
Designed and deployed interactive performance monitoring dashboards in Power BI for 10+ Business Correspondents covering 70K+ Agents, integrating data from 3 heterogeneous sources resulting in 60% faster decision making. Built and implemented risk scoring frameworks for existing BC Agents using demographic variables, leading to blocking of 100+ high risk agents and preventing onboarding of 4000+ p
Fraud Analyst Intern
NSDL Payments Bank
Jan 2025 - Mar 2025 (2 months)
Analyzed 12M+ transaction records to develop fraud detection models using Random Forest and Decision Tree, achieving 93% accuracy. Conducted Social Network Analysis to identify ring fencing of fraudulent customers, enabling the blocking of 600+ high risk customers from further fraudulent activities.
Impact Assessment Analyst Intern
Makerghat
Apr 2024 - May 2024 (1 month)
Analyzed data to measure the impact and reach of educational workshops and interventions for reporting and funding purposes using hypothesis testing and RCT methodology. Cleaned and processed large participant datasets, applied fuzzy matching (FuzzyWuzzy) for data deduplication and name reconciliation, improving data quality for analysis.
Data Analyst Intern
BPCL
Oct 2023 - Dec 2023 (2 months)
Forecasted nationwide diesel and petrol demand using time series models (ARIMA, SARIMA, SARIMAX) for supply chain planning. Performed seasonality decomposition, stationarity testing (ADF test), and parameter tuning to enhance model accuracy.
Area Parts Manager
Ashok Leyland Ltd.
Jul 2015 - Sep 2020 (5 years 2 months)
Achieved 3X growth in workshop and retail business within 2 years by leveraging data-driven customer segmentation and expanding a diverse product portfolio. Managed 40+ dealers and distributors, and 500+ retail outlets, leading a team of 50 executives to drive spare parts sales and territory growth.
Education
Degrees, certifications, and relevant coursework
Tata Institute of Social Sciences
Master of Science, Analytics
2023 -
Grade: 8.1 CGPA
Pursuing Master of Science in Analytics with a CGPA of 8.1.
National Institute of Technology, Rourkela
Bachelor of Technology, Mechanical Engineering
2011 - 2015
Grade: 8.86 CGPA
Completed Bachelor of Technology in Mechanical Engineering with a CGPA of 8.86.
Availability
Location
IndiaAuthorized to work in
Salary expectations
Job categories
Skills
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