# sachidananda hota

sachidananda hota is a remote worker on Himalayas, Data Scientist – Fraud and Risk Monitoring at NDSL Payments Bank, based in India.

Source: https://himalayas.app/@sachidanandahota

```text
I build fraud-risk analytics, scoring frameworks, and automated dashboards that reduce fraud and accelerate decisions.
```

| Detail | Value |
| --- | --- |
| Availability | Looking for a job |
| Location | India |
| Authorized to work in | India |
| Salary expectations | 140k+ INR |
| Job categories | Data Scientist, Data Scientist, Data Analyst, Fraud Analyst, Risk Analyst, Business Analyst, Area Sales Manager, Search Data Scientist, AI Data Scientist, Data Science Expert, Data Science, Data Science Specialist, ML Data Scientist, Statistical Data Scientist, Research Data Scientist, Data Scientist Analytics |
| Skills | Data Science, Data Analysis, Fraud Detection, Risk Monitoring, Risk Scoring, Power BI, Power Automate, ETL, Dashboard Development, Random Forest, Decision Trees, Network Analysis, Hypothesis Testing, Randomized Controlled Trials, Time series Forecasting, ARIMA, SARIMA, Seasonality, Principal Component Analysis, Data Visualization, Market Research, Inventory Management, Zed, Diesel |

## What I'm looking for

```text
I'm looking to build data-driven fraud, risk, and analytics solutions where I can turn large-scale data into stronger controls, faster decisions, and measurable business outcomes.
```

## About

```text
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

### Data Scientist – Fraud and Risk Monitoring (current)

NDSL Payments Bank. Apr 2025 - Present

```text
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
```

Skills: Power-BI, ETL, Risk-Scoring, Fraud-Detection, Data-Analysis, Automation, KYC, Transaction-analysis

### Fraud Analyst Intern

NSDL Payments Bank. Jan 2025 - Mar 2025

```text
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.
```

Skills: Random-Forest, Decision-Trees, Network-Analysis, Fraud-Detection, Data-Analysis

### Impact Assessment Analyst Intern

Makerghat. Apr 2024 - May 2024

```text
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.
```

Skills: Hypothesis-Testing, Data-Cleaning, Data-Analysis

### Data Analyst Intern

BPCL. Oct 2023 - Dec 2023

```text
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.
```

Skills: ARIMA, SARIMA, Time-Series-Analysis, Forecasting

### Area Parts Manager

Ashok Leyland Ltd.. Jul 2015 - Sep 2020

```text
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.
```

Skills: Data-Driven-Segmentation, Inventory-Management, Market-Research, Team-Leadership, Sales-Strategy

## Education

### Tata Institute of Social Sciences

Master of Science, Analytics. 2023 - Present. Grade: 8.1 CGPA

```text
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

```text
Completed Bachelor of Technology in Mechanical Engineering with a CGPA of 8.86.
```

## Tech stack

- Zed
- Diesel

To contact sachidananda, message them from this profile with a Himalayas employer account: [Hire on Himalayas](https://himalayas.app/hire).

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