# Ananya Mondal

Ananya Mondal is a remote worker on Himalayas, Data Analytics Intern at Transportation Research & Injury Prevention Centre (TRIPC),, based in India.

Source: https://himalayas.app/@ananyamondal1

```text
I build data intelligence and machine learning systems for real-world decision-making.
```

| Detail | Value |
| --- | --- |
| Availability | Looking for a job |
| Location | India |
| Authorized to work in | India |
| Salary expectations | 608k+ INR |
| Job categories | Data Analyst, Machine Learning Engineer, Data Scientist, Product Manager, Growth Analyst |
| Skills | Python, SQL, C++, C, BASH, JavaScript, Data Analysis, Product Management, Machine Learning, Deep reinforcement learning, Hierarchical clustering, DBSCAN, Moran'S I, graph algorithms, Cohort Analysis, Funnel Analysis, Statistical Analysis, Pandas, Streamlit, GROQ, GPT OSS, IQR Outlier Detection, Correlation Mining, LightGBM, LSTM, SHAP, Conformal Prediction, LangGraph, Function Calling, React, XGBoost, scikit learn, LIME, ELI5, Power BI, SMOTE, PyCaret, PyTorch, Dart, NeuralProphet, Featuretools, Transformers, Lang Chain, Hugging Face, fastAPI, Dash, MLFlow, SQLAlchemy, Polars, NumPy, Plotly, Matplotlib, SeaBorn, PostgreSQL, MySQL, DuckDB |

## What I'm looking for

```text
I'm looking to apply data analytics, machine learning, and product insights to real-world problems, building systems that turn complex data into actionable decisions.
```

## About

```text
I've built data analytics and machine learning systems for transportation, health, climate risk, and product decisions. At TRIPC, IIT Delhi, I engineered real-time telemetry infrastructure across 7,471 roads in 79 districts, identifying 363 traffic hotspots for Hajj 2027 planning.

I also investigated resilience across 21+ Gulf cities with TU Dresden, connecting geopolitical shocks to 2,000+ telemetry vectors using deep reinforcement learning and hierarchical clustering. For Ujjain's major religious events, I processed GPS traces to identify bottlenecks, public-transport stress, and optimized routing opportunities.

At Mealistik, I analyzed 10K+ user interaction records across clickstream, survey, and session data. My segmentation, cohort, funnel, and statistical analysis informed MVP validation, feature prioritization, and four-plus product decisions.

My projects include an LLM-to-pandas data intelligence engine with 93.8% operation-classification accuracy, flood-risk modeling with LightGBM and LSTM, a ReAct research agent, and explainable population-scale health risk stratification using 400K+ records. I work primarily with Python, SQL, machine learning, data visualization, and deployment tools.
```

## Experience

### Data Analytics Intern

Transportation Research & Injury Prevention Centre (TRIPC),. May 2026 - Jul 2026

```text
Engineered real-time telemetry infrastructure for Hajj traffic management, identified hotspots, and analyzed resilience across Gulf cities. Architected spatiotemporal analytics for Ujjain events using GPS traces and clustering algorithms.
```

Skills: Deep-reinforcement-learning, Hierarchical-clustering, DBSCAN, Moran'S-I, graph-algorithms, Spatiotemporal-Analytics, Geospatial-Data-Processing

### Growth Analyst & Product Management Intern

Mealistik. Jun 2025 - Sep 2025

```text
Analyzed user interaction data to evaluate engagement and retention, performed segmentation and cohort analysis, and built reports to inform product decisions. Collaborated on website development and feature requirements.
```

Skills: Clickstream-analysis, Survey-Data, Session-Data, Segmentation, Cohort-Analysis, Funnel-Analysis, Statistical-Analysis, Product-Management, Feature-Prioritization, Web-Development

## Education

### IIT Kharagpur

B.Tech, Artificial Intelligence and Applications. Grade: 7.94 / 10

```text
Pursuing a B.Tech with a micro-specialization in Artificial Intelligence and Applications, maintaining a CGPA of 7.94/10.
```

### Purv International School

AISSCE (CBSE) - XII. Grade: 85.6%

```text
Completed AISSCE (CBSE) - XII with 85.6% marks.
```

### Shivjyoti International School

AISSE (CBSE) - X. Grade: 95.2%

```text
Completed AISSE (CBSE) - X with 95.2% marks.
```

## Tech stack

- Dash
- NumPy
- Pandas
- MySQL
- PostgreSQL
- React
- JavaScript
- Python
- C++
- C
- Dart
- PyTorch
- MLflow
- scikit-learn
- Streamlit
- FastAPI
- Transformers
- SQLAlchemy
- SQL
- XGBoost
- Hugging Face
- LightGBM
- LangChain
- DuckDB
- Polars
- Groq
- Darts
- Bash
- LangGraph
- Seaborn
- Matplotlib
- Power BI

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

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