# Aakriti User

Aakriti User is a remote worker on Himalayas, Research Collaborator at Internet Society, based in India.

Source: https://himalayas.app/@aakritiuser2

```text
Computer science student at CHRIST building NetLoss ML to estimate the GDP impact of internet shutdowns across 194 countries.
```

| Detail | Value |
| --- | --- |
| Availability | Looking for a job |
| Location | India |
| Authorized to work in | India |
| Salary expectations | 70k+ INR |
| Job categories | Technology Consultant, Software Engineer, Data Analyst, Machine Learning Engineer |
| Skills | Technology Consulting, Software Development, Machine Learning, Data Analysis, Econometrics, Data Processing, SDLC, Cloud Computing, Cybersecurity, IoT, Python, SQL, MySQL, PostgreSQL, Java |
| LinkedIn | https://linkedin.com/in/aakriti-upadhyay-b15a38297 |

## What I'm looking for

```text
I’m seeking a technology consulting role focused on SDLC, data-driven solutions, cloud technologies, and complex business problems.
```

## About

```text
At Internet Society (ISOC), I researched the socioeconomic impact of internet shutdowns using large-scale panel datasets and machine learning. I built NetLoss ML, an Explainable Boosting Machine pipeline with GroupKFold cross-validation and bootstrap confidence intervals to estimate GDP losses across 194 countries.

At Goolluck Investments, I engineered Python applications for automated email processing and real-time stock market analysis, as well as a role-based task management system using PostgreSQL. I’m studying Computer Science & Engineering with an Honours in AI/ML at CHRIST (Deemed to be University), and I’m seeking a technology consulting role focused on SDLC, data-driven solutions, cloud technologies, and complex business problems.
```

## Experience

### Research Collaborator

[Internet Society](https://himalayas.app/companies/internet-society). Apr 2026 - Jun 2026

```text
Researched the socioeconomic impact of internet shutdowns using large-scale panel datasets and advanced ML techniques. Built NetLoss ML, an Explainable Boosting Machine pipeline with GroupKFold cross-validation and bootstrap confidence intervals, estimating GDP losses from shutdowns across 194 countries (2019–2025).
```

Skills: Machine-Learning, Explainable-Boosting-Machines, GroupKFold, Bootstrap, Python, Data-Analysis, Econometrics

### Peer Mentor

Peer Education, CHRIST University. Jan 2024 - Jan 2026

```text
Completed 30+ hours of training to lead psycho-education sessions on relationships, peer influence, stress management, and communication, delivered sessions to 150+ B.Tech, BBA, and B.Sc (Psychology) students.
```

Skills: Mentorship, Communication-Skills, Training, Public-Speaking

### CS Intern

Goolluck Investments. Apr 2025 - May 2025

```text
Engineered Python applications for automated email processing and real-time stock market analysis, alongside a secure role-based task management system using PostgreSQL to streamline business operations.
```

Skills: Python, PostgreSQL, Automation, Stock-Market-Analysis, Task-Management

### Operations Team Lead

CAPS, CHRIST University. Sep 2023 - Mar 2025

```text
Organised 15+ events; created 20+ reports, proposals, and datasheets; led promotional outreach to 200+ students, organised CAPSity 2025 (Leadership Summit).
```

Skills: Event-Planning, Leadership, Outreach, Report-Writing

## Education

### CHRIST (Deemed to be University)

B.Tech, Computer Science and Engineering. 2023 - Present. Grade: 3.75/4.00

```text
Pursuing a B.Tech in Computer Science and Engineering with Honours in AI/ML, expected to graduate in 2027. Achieved a CGPA of 3.75 out of 4.00.
```

### Little Angels Senior Secondary School

Class XII, General. Grade: 87.8%

```text
Completed Class XII in April 2023 with 87.8% and Class X in April 2021 with 96.17%.
```

## Tech stack

- MySQL
- PostgreSQL
- JavaScript
- Python
- Java
- C
- FastAPI
- TypeScript
- Git
- SQL
- LightGBM
- AWS
- REST APIs

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

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