---
title: "Snigdha Kambhampati - Investigation Associate in Bengaluru | Tal"
description: "Meet Snigdha Kambhampati, •Investigation Associate at Amazon based in Bengaluru. AI stack includes claude code, gemini, and openai."
image: "https://tal.club/meet/snigdha-kambhampati/share-image"
---

# Snigdha Kambhampati on Tal

## Headline

•Investigation Associate at Amazon

## About

Diligent and motivated Data Science Graduate student with a passion for leveraging analytical skills to derive meaningful insights from data\. Seeking opportunities to apply theoretical knowledge and hands\-on experience in real\-world projects to contribute effectively to an innovative team\.

## Location

Bengaluru

## AI stack

claude code

gemini

openai

## Work experience

Investigation Associate at Amazon, Mar 2026 \- Present · 7 mos

Internship Trainee at DRDO Labs\-LRDE, Jul 2024 \- Oct 2024 · 4 mos, Bengaluru, Karnataka, India, This internship provided hands\-on exposure to data analytics, ETL processes, and business intelligence within a real\-world research environment\. My work involved analyzing large\-scale datasets, optimizing data pipelines, and developing interactive Tableau dashboards that delivered actionable insights for strategic and operational decisions\. Throughout this experience, I developed and strengthened key skills, including: ✅ Data Cleaning & ETL Processes – Building efficient data pipelines to ensure accuracy, consistency, and reliability\. ✅ SQL & Database Management – Querying and optimizing large datasets for reporting and analysis\. ✅ Data Visualization with Tableau – Designing dynamic dashboards to uncover key trends and performance indicators\. ✅ Automation with Python – Streamlining data workflows and reporting tasks to improve efficiency\. ✅ Insight Communication – Translating analytical findings into clear, data\-driven stories for both technical and non\-technical audiences\. ✅ Decision Intelligence – Leveraging data insights to support evidence\-based decision\-making and organizational planning\.

Co Lead at Anova Club, Aug 2023 \- Jan 2025 · 1 yr 6 mos, Bengaluru, Karnataka, India, As Vice President of the Data Science Club, I led a team of 50\+ members, overseeing all club operations, event management, and technical initiatives\. My role focused on fostering a community of learners passionate about data science, machine learning, and analytics, while building industry connections and hands\-on learning experiences\. Key contributions and achievements include: ✅ Leadership & Management – Directed and co\-led club activities, coordinated workshops, and enhanced member engagement across all levels\. ✅ Technical Training & Workshops – Organized hands\-on sessions on machine learning, Python programming, and data visualization, helping members strengthen practical skills\. ✅ Industry Collaboration – Partnered with professionals and guest speakers to conduct seminars and networking events for real\-world exposure\. ✅ Branding & Promotion – Spearheaded club branding, designing marketing materials and campaigns to boost visibility and participation\. ✅ Mentorship – Guided junior members through projects, code reviews, and technical discussions, promoting a collaborative learning culture\.

Data Science Intern at Exposys Data Labs, Jul 2023 \- Aug 2023 · 2 mos, India, This project focused on building a predictive model for diabetic risk assessment using Support Vector Machine \(SVM\), achieving a 93% accuracy rate in a live test environment\. The model was developed to analyze patient health data and identify key indicators contributing to diabetes risk\. Throughout this project, I gained practical experience and strengthened the following skills: ✅ Data Preprocessing & Cleaning – Managed large\-scale patient datasets using Pandas and NumPy, addressing missing values and normalizing data for model readiness\. ✅ Feature Engineering & Selection – Applied one\-hot encoding, feature scaling, and other transformation techniques to enhance predictive accuracy\. ✅ Model Development with SVM – Implemented and tuned a Support Vector Machine classifier to optimize precision and recall performance\. ✅ Model Evaluation – Assessed performance using key metrics such as accuracy, precision, recall, and F1\-score, ensuring balanced predictions\. ✅ Machine Learning Pipeline Implementation – Built and automated an end\-to\-end ML workflow with scikit\-learn, covering data ingestion, training, and deployment stages\. ✅ Applied Python for ML – Demonstrated strong command over Python libraries including Pandas, NumPy, scikit\-learn, and Matplotlib for analysis and visualization\.

## Education

Bachelor of Technology \( Hons\.\), Computer Science and Engineering \- Data science, Jain \(Deemed\-to\-be University\)

[View the original profile](https://tal.club/meet/snigdha-kambhampati)

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